Cow farm kilogram milk cost management method and system, electronic equipment and medium

Abstract

The invention discloses a milk cow farm kilogram milk cost management method and system, electronic equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring cattle farm cost data of a target cattle farm, and determining missing cost items in the cattle farm cost data; according to the region, the scale and the breeding mode of the target cattle farm, similar cattle farm data is screened out from a preset basic database, and missing cost items are filled based on the similar cattle farm data; based on each cost item in the filled cattle farm cost data, calculating the kilogram milk cost of the target cattle farm; determining a to-be-optimized cost item in combination with the relative change trend of the proportion of each cost item and the kilogram milk cost; and matching improvement measures corresponding to the to-be-optimized cost items from a preset optimization strategy library, and generating a standardized cost report comprising the improvement measures, the kilogram milk cost and the proportions of the cost items. By implementing the technical scheme provided by the invention, the management efficiency of the kilogram milk cost of the dairy cattle farm can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of cost management, and particularly relates to a method, a system, an electronic device and a medium for managing the cost per kilogram of milk in a dairy farm. Background Art

[0002] With the modern development of the livestock industry, dairy farming has gradually shifted from the traditional small-scale scattered breeding mode to the large-scale and intensive direction. In this process, the cost management level of dairy farms is directly related to the breeding efficiency, and the cost per kilogram of milk, as the core index to measure the breeding efficiency, the scientificity and accuracy of its management are particularly important.

[0003] Currently, most dairy farms adopt the method of manual recording and statistics. The farm managers usually obtain the cost per kilogram of milk by collecting various expenditure data of the farm and making a manual evaluation, so as to manage the cost per kilogram of milk. However, in practical applications, the cost per kilogram of milk in dairy farms is affected by data from multiple aspects. Only through the manual evaluation by farm managers, it is often easy to miss some items, resulting in deviation of the evaluation results, thus making it difficult to control the cost situation of dairy farms and reducing the efficiency of cost management per kilogram of milk in dairy farms. Summary of the Invention

[0004] The present application provides a method, a system, an electronic device and a medium for managing the cost per kilogram of milk in a dairy farm, which can improve the efficiency of cost management per kilogram of milk in a dairy farm.

[0005] In the first aspect, the present application provides a method for managing the cost per kilogram of milk in a dairy farm, including: Obtaining the cost data of the target dairy farm and determining the missing cost items in the cost data of the dairy farm; According to the region, scale and breeding mode of the target dairy farm, screening out similar dairy farm data from a preset basic database, and filling the missing cost items based on the similar dairy farm data; Calculating the cost per kilogram of milk of the target dairy farm based on each cost item in the filled cost data of the dairy farm; Combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk to determine the cost items to be optimized; Matching the improvement measures corresponding to the cost items to be optimized from a preset optimization strategy library, and generating a standardized cost report including the improvement measures, the cost per kilogram of milk and the proportion of each cost item.

[0006] By adopting the above technical solution, the cost data of the target dairy farm is obtained and the missing items are identified, and then similar dairy farm data is screened from the basic database based on the geographical location, scale and breeding mode characteristics of the target dairy farm for filling, ensuring the integrity of the cost data; furthermore, the cost per kilogram of milk is calculated based on the complete cost data, and the items to be optimized are identified by analyzing the proportion of each cost item and the change trend of the cost per kilogram of milk. Finally, the corresponding improvement measures are matched from the optimization strategy library and a standardized cost statement is generated. This solution realizes the intelligent completion of the cost data of the dairy farm, the systematic analysis of the cost items and the accurate matching of the optimization measures in a data-driven manner, avoids the data omission and evaluation deviation problems easily occurring in the traditional manual evaluation method, effectively improves the scientificity and accuracy of the cost management per kilogram of milk, and thus improves the efficiency of the cost management per kilogram of milk in the dairy farm.

[0007] In the second aspect of the present application, a cost management system for cost per kilogram of milk in a dairy farm is provided. The system includes: A data acquisition module, configured to acquire the dairy farm cost data of the target dairy farm and determine the missing cost items in the dairy farm cost data; A cost item filling module, configured to screen similar dairy farm data from a preset basic database according to the geographical location, scale and breeding mode of the target dairy farm, and fill the missing cost items based on the similar dairy farm data; A cost per kilogram of milk calculation module, configured to calculate the cost per kilogram of milk of the target dairy farm based on each cost item in the filled dairy farm cost data; A standardized cost statement generation module, configured to determine the cost items to be optimized by combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk; match the improvement measures corresponding to the cost items to be optimized from a preset optimization strategy library, and generate a standardized cost statement including the improvement measures, the cost per kilogram of milk and the proportion of each cost item.

[0008] In the third aspect of the present application, an electronic device is provided, including a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement a cost management method for cost per kilogram of milk in a dairy farm.

[0009] In the fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to implement a cost management method for cost per kilogram of milk in a dairy farm.

[0010] In summary, one or more technical solutions provided by the present application have at least the following technical effects or advantages: By adopting the above technical solution, the cost data of the target dairy farm is obtained and the missing items are identified, and then similar dairy farm data is screened from the basic database based on the geographical location, scale and breeding mode characteristics of the target dairy farm for filling, ensuring the integrity of the cost data; furthermore, the cost per kilogram of milk is calculated based on the complete cost data, and the items to be optimized are identified by analyzing the proportion of each cost item and the change trend of the cost per kilogram of milk. Finally, the corresponding improvement measures are matched from the optimization strategy library and a standardized cost statement is generated. This solution realizes the intelligent completion of the cost data of the dairy farm, the systematic analysis of the cost items and the accurate matching of the optimization measures through a data-driven method, avoiding the problems of data omission and evaluation deviation easily occurring in the traditional manual evaluation method, effectively improving the scientificity and accuracy of the cost management per kilogram of milk, and thus improving the efficiency of the cost management per kilogram of milk in the dairy farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 is a schematic flowchart of a method for managing the cost per kilogram of milk in a dairy farm provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a system for managing the cost per kilogram of milk in a dairy farm provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0012] Description of the reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0014] In the description of the embodiments of the present application, words such as "for example" or "for illustration" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "for example" or "for illustration" is intended to present the relevant concepts in a specific manner.

[0015] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0016] The embodiments of the present application provide a method for managing the cost per kilogram of milk in a dairy farm. In one embodiment, please refer to Figure 1 , Figure 1 which is a schematic flowchart of the method for managing the cost per kilogram of milk in a dairy farm provided by the embodiments of the present application. This method can be implemented relying on a computer program, which can be integrated into an application or run as an independent tool application. This method can also be implemented relying on a single-chip microcomputer and can run on a cost management system for dairy farms based on the von Neumann architecture. Specifically, this method may include the following steps: Step 101: Obtain the cost data of the target dairy farm and determine the missing cost items in the cost data of the dairy farm.

[0017] Among them, the cost data of the dairy farm refers to a data set reflecting various expenditures and expenses incurred in the production and operation process of the dairy farm. The cost data of the dairy farm includes two major categories: the daily cost data of the dairy farm and the implicit cost data of the dairy farm. Among them, the daily cost data of the dairy farm covers direct expenditures reflected on the books such as labor costs, water costs, electricity costs, fuel costs, gasoline costs, coal costs, environmental protection costs, breeding costs, epidemic prevention costs, treatment and veterinary drug costs, milking hall consumption, raw milk transportation costs, raw milk detection costs, bedding expenditures, hoof trimming costs, and management fees; the implicit cost data of the dairy farm includes indirect or potential expenditures such as loan interest and handling fees, dairy farm land lease costs, transferred land costs, technical service fees, facility and equipment maintenance and repair costs, employee insurance costs, dairy cow insurance costs, and dairy cow death loss costs.

[0018] The missing cost item refers to a cost expenditure item that has not been completely collected or recorded in the cost data record of the target dairy farm.

[0019] Specifically, first obtain the cost data of the target cattle farm and determine the missing cost items in the cost data. Since there are numerous and complex cost items in dairy farms, relying solely on manual records is prone to data omission or incomplete recording. Therefore, a systematic cost item collection mechanism needs to be established. Specifically, through a pre-set cost item list template, standardize the classification of various cost expenditures of the cattle farm, including daily cost items such as labor costs, water costs, electricity costs, fuel costs, gasoline costs, coal costs, environmental protection costs, breeding costs, epidemic prevention costs, treatment and veterinary drug costs, milking hall consumption, fresh milk transportation costs, fresh milk detection costs, bedding expenditures, hoof trimming costs, management fees, etc., as well as implicit cost items such as loan interest and handling fees, cattle farm land lease costs, transferred land costs, technical service fees, facility and equipment maintenance and repair costs, employee insurance costs, dairy cow insurance costs, dairy cow death loss costs, etc.

[0020] When obtaining the cost data of the target cattle farm, record various cost expenditures in the form of spreadsheets, and use automated data collection equipment to collect quantifiable indicators such as water consumption and electricity consumption in real time. At the same time, combine the expenditure records in the financial system to ensure the timeliness and accuracy of data sources. The system automatically compares the collected data with the pre-set cost item list, and uses a data missing detection algorithm to identify the cost items that are not filled or have abnormal values, and marks these items as missing cost items. For example, when the value of a certain cost item is zero in multiple consecutive recording periods, or shows a significant deviation compared with historical data, the system will automatically identify it as a potential missing item.

[0021] Through this systematic data collection and missing item identification method, the integrity and accuracy of cost data can be effectively improved. Compared with the traditional manual recording method, this method can timely detect omissions in data records, providing a reliable data basis for subsequent cost analysis and optimization. At the same time, due to the use of standardized cost item classification, it is also convenient for horizontal comparison with other cattle farms, helping to identify abnormal situations and improvement spaces in cost management.

[0022] Step 102: According to the region, scale and breeding mode of the target cattle farm, screen out the data of similar cattle farms from the pre-set basic database, and fill in the missing cost items based on the data of similar cattle farms.

[0023] Among them, the region, scale, and breeding mode of the target cattle farm refer to three core dimensional indicators used to characterize the basic characteristics of the target cattle farm. The regional characteristics of the target cattle farm include geographical and economic factors such as the geographical location, climate zone, altitude, city level, and economic development level. These factors directly affect the operating costs of the cattle farm, such as feed prices, labor costs, transportation costs, etc.; the scale characteristics of the target cattle farm include quantitative indicators reflecting the breeding scale, such as the number of dairy cows in stock, the number of lactating cows, the number of dry cows, the land area of the cattle farm, and the building area. These indicators are closely related to the production efficiency of the cattle farm and the allocation of fixed costs; the breeding mode characteristics of the target cattle farm include different feeding methods such as free-range, captive, and semi-captive, as well as the corresponding facility configuration, management system, and technological process. These factors directly determine the operating mode and cost structure of the cattle farm.

[0024] The preset basic database refers to a data set containing the historical operating data of dairy cattle farms in different regions, different scales, and different breeding modes. The preset basic database is mainly used to provide data support for filling in the missing cost items of the target cattle farm. By screening out the cattle farm data with similar characteristics to the target cattle farm from this database, a scientific reference value can be provided for filling in the missing cost items.

[0025] Specifically, after determining the missing cost items in the cost data of the target cattle farm, these missing items need to be reasonably filled to ensure the accuracy of subsequent cost calculations. Since there are significant differences in the cost structures of cattle farms in different regions, different scales, and different breeding modes, it is necessary to screen out the cattle farm data with similar characteristics from the preset basic database based on the specific characteristics of the target cattle farm as a reference, so as to achieve scientific filling of the missing cost items. When specifically implemented, first, the cattle farm data in the preset basic database is standardized. The standardization process includes normalizing numerical data and converting categorical data into numerical representations to ensure that data in different dimensions can be compared uniformly. Then, based on the characteristics of the target cattle farm, such as the climate zone it is located in, the city level, etc. (region), the number of animals in stock, the land area, etc. (scale), and the free-range, captive, semi-captive, etc. (breeding mode), a feature vector of the target cattle farm is generated. Then, the similarity between the feature vectors of each cattle farm in the basic database and the feature vector of the target cattle farm is calculated. Algorithms such as cosine similarity or Euclidean distance can be used for the calculation. When the calculated similarity is greater than the preset similarity threshold (for example, 0.85), the corresponding standardized cattle farm data is screened as similar cattle farm data.

[0026] After obtaining the data of similar dairy farms, fill in the missing cost items in the target dairy farm. The filling process uses the weighted average method, that is, based on the similarity between each similar dairy farm and the target dairy farm as the weight, calculate the weighted average value of the corresponding cost item of the similar dairy farm. For example, when the electricity cost data of the target dairy farm is missing, the system will calculate the weighted average value of the electricity cost in the similar dairy farms as the filling value. In order to improve the accuracy of filling, time series features will also be combined, considering the impact of seasonal factors on costs, and appropriately adjusting the filling value. Through this systematic data filling method, not only the problems of strong subjectivity and low accuracy of the traditional manual estimation method are solved, but also the integrity and reliability of the cost data are improved. These complete cost data after filling provide strong support for the subsequent accurate calculation of the cost per kilogram of milk and the formulation of optimization strategies, which helps to improve the cost management level of dairy farms.

[0027] On the basis of the above embodiments, as an optional embodiment, in step 102: screening out the data of similar dairy farms from the preset basic database, this step may further include the following steps: Step 201: Standardize the dairy farm data in the preset basic database to obtain standardized dairy farm data.

[0028] Specifically, standardize the dairy farm data in the preset basic database to eliminate the influence of different dimensions and numerical range differences on subsequent calculations. Specifically, for the dairy farm scale data (such as inventory and milk production), the maximum-minimum normalization method is used for processing, that is, convert the original data into a value between 0 and 1; for the geographical data, convert the administrative division information such as provinces, municipalities, districts and counties into unified geographical coordinates; for the breeding mode data, one-hot encoding is used for conversion. For example, for the feeding method, set three binary bits, the free-range mode is encoded as [1, 0, 0], the pen-fed mode is encoded as [0, 1, 0], and the semi-pen-fed mode is encoded as [0, 0, 1]; for the feeding method, set four binary bits, the TMR feeding is encoded as [1, 0, 0, 0], the group feeding is encoded as [0, 1, 0, 0], the timed feeding is encoded as [0, 0, 1, 0], and the automatic feeding is encoded as [0, 0, 0, 1]; for the milking method, set three binary bits, the mechanical milking is encoded as [1, 0, 0], the automated milking is encoded as [0, 1, 0], and the manual milking is encoded as [0, 0, 1]. Through this standardization process, the comparability between different dairy farm data is ensured, laying a foundation for subsequent similarity calculation.

[0029] Step 202: Generate a feature vector of the target dairy farm based on the geographical location, scale and breeding mode of the target dairy farm.

[0030] Specifically, a feature vector is generated based on the region, scale, and breeding mode of the target dairy farm. For the regional features, environmental factors such as the geographical coordinates (longitude, latitude), altitude, and annual average temperature of the target dairy farm are extracted; for the scale features, production scale indicators such as the inventory scale of the dairy farm (including the number of adult cows and replacement cows), daily milk production, and annual milk production are extracted; for the breeding mode features, management features such as the feeding method of the dairy farm (such as free-range, pen-feeding, etc.), feeding method (such as TMR feeding, group feeding, etc.), and milking method (such as mechanical milking, automated milking, etc.) are extracted. These features are combined according to a preset weight to form a feature vector that can comprehensively reflect the characteristics of the target dairy farm.

[0031] Step 203: Calculate the similarity between the feature vectors of each dairy farm in the standardized dairy farm data and the feature vector of the target dairy farm; select the standardized dairy farm data with a similarity greater than the similarity threshold as the similar dairy farm data.

[0032] Specifically, calculate the similarity between the feature vectors of each dairy farm in the standardized dairy farm data and the feature vector of the target dairy farm. Specifically, the cosine similarity calculation method is used to calculate the feature vector of the target dairy farm and the feature vector of each dairy farm in the basic database to obtain a similarity score. According to practical experience, the similarity threshold is set to 0.85, and the dairy farm data with a similarity greater than 0.85 is selected as the similar dairy farm data. This screening method based on the similarity of feature vectors can effectively identify dairy farms that are similar to the target dairy farm in terms of regional environment, operating scale, and management mode, providing a reliable reference sample for subsequent cost data supplementation. By setting a reasonable similarity threshold, both the similarity between the selected samples and the target dairy farm and the sufficiency of the sample size are ensured.

[0033] Step 103: Calculate the cost per kilogram of milk of the target dairy farm based on each cost item in the filled dairy farm cost data.

[0034] Among them, the cost per kilogram of milk refers to the comprehensive cost required to produce a unit weight (per kilogram) of raw milk. The cost per kilogram of milk is mainly used to measure the production efficiency and cost control level of dairy farms and is a core indicator for evaluating the operating conditions of farms. By monitoring and analyzing the cost per kilogram of milk, problems existing in cost management can be discovered in a timely manner, providing a basis for formulating cost optimization strategies. At the same time, it can also be used for horizontal comparison between different farms to help farm managers better understand the operating conditions and improve breeding efficiency.

[0035] Specifically, after completing the filling of the cattle farm cost data, it is necessary to calculate the cost per kilogram of milk for the target cattle farm. This cost indicator is the core parameter for measuring the efficiency of dairy cattle breeding and has important guiding significance for evaluating the operating conditions and formulating optimization strategies. Since the cost per kilogram of milk involves multiple cost components, a systematic calculation method is required to ensure the accuracy and reliability of the calculation results. In specific implementation, first, based on the filled cattle farm cost data, calculate the production cost of adult cows in the target cattle farm. When calculating the production cost of adult cows, it is necessary to calculate the daily cost and hidden cost of the cattle farm respectively. The daily cost of the cattle farm includes the sum of labor costs, water costs, electricity costs, fuel costs, gasoline costs, coal costs, environmental protection costs, breeding costs, epidemic prevention costs, treatment and veterinary drug costs, milking hall consumption, raw milk transportation costs, raw milk testing costs, bedding expenses, hoof trimming costs, and management fees. The hidden cost of the cattle farm includes the sum of loan interest and handling fees, cattle farm land lease costs, transferred land costs, technical service fees, facility and equipment maintenance and repair costs, employee insurance costs, dairy cow insurance costs, and dairy cow death loss costs. At the same time, extract the cattle farm infrastructure depreciation cost, cattle farm equipment depreciation cost, adult cow feed cost, and replacement heifer feed cost from each cost item. Calculate the production cost P of adult cows through these costs. Next, calculate the depreciation cost of adult cows. Extract the number of lactating cows, dry cows, and the original value of adult cows from the cost data, and obtain the benchmark residual value rate and benchmark economic life of adult cows, and calculate the depreciation cost D of adult cows. At the same time, extract the adult cow feed cost F from each cost item. Then, obtain the cow dung sales revenue, insurance claim income, and total raw milk output of the target cattle farm. Perform formula calculations on the calculated production cost P of adult cows, adult cow feed cost F, depreciation cost D of adult cows, as well as cow dung sales revenue S, insurance claim income I, and total raw milk output M, and finally obtain the cost per kilogram of milk C of the target cattle farm.

[0036] This systematic calculation method takes into account all elements affecting the cost per kilogram of milk, including direct costs, indirect costs, depreciation costs, and relevant income deduction items, making the calculation results more comprehensive and accurate.

[0037] Based on the above embodiments, as an alternative embodiment, in step 103: Based on each cost item in the filled cattle farm cost data, calculate the cost per kilogram of milk for the target cattle farm. This step may further include the following steps: Step 301: Combine each cost item in the filled cattle farm cost data to calculate the production cost and depreciation cost of adult cows in the target cattle farm, and extract the adult cow feed cost of the target cattle farm from each cost item.

[0038] Specifically, first, it is necessary to calculate the production cost of adult cows in the target dairy farm based on the filled dairy farm cost data. When calculating the production cost of adult cows, the daily costs of the dairy farm (including labor costs, water costs, electricity costs, fuel costs, gasoline costs, coal costs, environmental protection costs, breeding costs, epidemic prevention costs, treatment and veterinary drug costs, milking hall consumption, raw milk transportation costs, raw milk testing costs, bedding expenses, hoof trimming costs, and management fees) and the implicit costs of the dairy farm (including loan interest and handling fees, land rental costs for the farm, land transfer costs, technical service fees, facility and equipment maintenance and repair costs, employee insurance costs, dairy cow insurance costs, dairy cow death loss costs) are aggregated. At the same time, the depreciation cost of the dairy farm infrastructure, the depreciation cost of the dairy farm equipment, the feed cost of adult cows, and the feed cost of replacement heifers are extracted from each cost item, and these costs are substituted into the preset third formula to calculate the production cost P of adult cows. Then, the number of lactating cows, the number of dry cows, and the original value of adult cows are extracted from the cost data, and the benchmark residual value rate and benchmark economic life of adult cows are obtained and substituted into the preset second formula to calculate the depreciation cost D of adult cows. Finally, the feed cost F of adult cows is directly extracted from each cost item. This systematic calculation method ensures the integrity and accuracy of various cost data and lays a foundation for the subsequent calculation of the cost per kilogram of milk.

[0039] Step 302: Obtain the cow dung sales revenue, insurance claim revenue, and total raw milk output of the target dairy farm; substitute the production cost of adult cows, the feed cost of adult cows, the depreciation cost of adult cows, the cow dung sales revenue, the insurance claim revenue, and the total raw milk output of the target dairy farm into the preset first formula to obtain the cost per kilogram of milk of the target dairy farm; where the preset first formula is: ; In the formula, C is the cost per kilogram of milk of the target dairy farm, P is the production cost of adult cows, F is the feed cost of adult cows, D is the depreciation cost of adult cows, S is the cow dung sales revenue, I is the insurance claim revenue, and M is the total raw milk output.

[0040] Specifically, first, obtain the cow dung sales revenue S, insurance claim revenue I, and the total fresh milk production M from the operation data of the target dairy farm. The cow dung sales revenue refers to the income obtained by the dairy farm through selling cow dung. The insurance claim revenue refers to various insurance compensations received by the dairy farm. The total fresh milk production refers to the total amount of fresh milk produced by the dairy farm within the statistical period. Then, substitute the mature cow production cost P, mature cow feed cost F, mature cow depreciation cost D calculated in step 201, and the obtained cow dung sales revenue S, insurance claim revenue I, and total fresh milk production M into the preset first formula C = (P + F + D - S - I) / M to calculate the cost per kilogram of milk C of the target dairy farm. This calculation method not only considers various cost inputs in the production process but also takes into account the deduction of relevant revenues, making the calculation result more accurately reflect the actual production cost. Through the standardized calculation formula, the influence of human factors is reduced, the objectivity and comparability of the calculation are improved, and reliable data support is provided for the cost management of the dairy farm.

[0041] Taking a certain target dairy farm as an example, in practical applications, by querying the operation data of the dairy farm, it is known that: the monthly cow dung sales revenue S of the dairy farm is 52,000 yuan, mainly from the sales of fermented organic fertilizers; the insurance claim revenue I is 15,000 yuan, including a death claim of 12,000 yuan for a mature cow and an equipment damage claim of 3,000 yuan; the total monthly fresh milk production M is 125,000 kg. At the same time, from step 201, the mature cow production cost P of the dairy farm is 320,000 yuan (including various costs such as labor costs and water and electricity costs), the mature cow feed cost F is 280,000 yuan, and the mature cow depreciation cost D is 42,000 yuan. Substitute the data into the preset first formula C = (P + F + D - S - I) / M, that is, C = (320,000 + 280,000 + 42,000 - 52,000 - 15,000) / 125,000 = 4.6 yuan / kg. Thus, the cost per kilogram of milk of the target dairy farm is 4.6 yuan / kg. This accurate calculation method based on actual data not only considers various cost inputs but also includes revenue deductions in the calculation scope, making the calculation result closer to the actual production cost level of the dairy farm.

[0042] On the basis of the above embodiments, as an optional embodiment, in step 201: combining each cost item in the filled dairy farm cost data to calculate the mature cow depreciation cost of the target dairy farm. This step may further include the following steps: Step 3011: Extract the number of lactating cows, number of dry cows, and original value of mature cows of the target dairy farm from each cost item; obtain the benchmark residual value rate and benchmark economic life of mature cows in the target dairy farm.

[0043] Specifically, first, extract three basic data items from the cost data of the target dairy farm, namely the number of lactating cows, the number of dry cows, and the original value of adult cows. Among them, the number of lactating cows and the number of dry cows can be directly obtained from the inventory records of the dairy farm, which reflect the actual number of adult cows participating in production in the dairy farm; the original value of adult cows is extracted from the asset accounts of the dairy farm, and this value reflects the actual purchase price when purchasing adult cows. At the same time, according to industry standards and the actual situation of the region where the target dairy farm is located, obtain the benchmark residual value rate and benchmark economic life of adult cows. For example, the average number of lactations of adult cows is 2.5 lactations, and the economic life is usually about 5 years. The benchmark residual value rate is usually determined according to the market price level of local culled dairy cows, which reflects the expected residual value ratio of adult cows at the end of the economic life; the benchmark economic life is determined according to the average production years of dairy cows, which reflects the time period during which adult cows can normally participate in production. The accurate extraction and reasonable determination of these data are the basis for scientifically calculating the depreciation cost of adult cows.

[0044] Step 3012: Substitute the number of lactating cows, the number of dry cows, the original value of adult cows, the benchmark residual value rate of adult cows, and the benchmark economic life of the target dairy farm into the preset second formula to obtain the depreciation cost of adult cows for the target dairy farm; where the preset second formula is: ; In the formula, D is the depreciation cost of adult cows, N m is the number of lactating cows, N d is the number of dry cows, V m is the original value of adult cows, R v is the benchmark residual value rate, L e is the benchmark economic life.

[0045] Specifically, in the calculation of the depreciation cost of adult cows, it is necessary to consider lactating cows and dry cows together, because these two types of cattle belong to the productive biological assets of the cattle farm, and the value loss of both should be included in the production cost. By presetting the second formula D = (Nm + Nd) × Vm × (1 - Rv) / Le, the monthly depreciation cost of adult cows during the production process can be scientifically calculated. Taking a large-scale dairy farm as an example, the farm currently has 380 lactating cows (Nm = 380), 70 dry cows (Nd = 70), and the average purchase price of adult cows, that is, the original value, is 28,000 yuan per head (Vm = 28,000). According to the local dairy market conditions and production practice, the benchmark residual value rate of adult cows is determined to be 15% (Rv = 0.15), that is, it is assumed that the cows can be sold at 15% of the original value after retirement; at the same time, based on the normal physiological cycle and production efficiency of cows, the benchmark economic life is set to 60 months (Le = 60). Substituting these data into the preset second formula: D = (380 + 70) × 28,000 × (1 - 0.15) / 60 = 89,600 yuan, and thus the monthly depreciation cost of adult cows in this farm is 89,600 yuan. This calculation method not only considers the cattle herd structure and asset value, but also reasonably reflects the value loss law of adult cows in different production stages through the setting of the residual value rate and economic life, making the calculation of depreciation cost more in line with the actual production situation. At the same time, due to the adoption of a unified calculation standard, this method is convenient for cost comparison and analysis between different cattle farms, helps to discover problems existing in cost management, and provides a basis for formulating optimization strategies.

[0046] Based on the above embodiments, as an alternative embodiment, in step 201: Combining each cost item in the filled cattle farm cost data to calculate the production cost of adult cows in the target cattle farm, this step may further include the following steps: Step 3013: Calculate the daily cost and implicit cost of the cattle farm for the target cattle farm based on each cost item.

[0047] Specifically, based on each filled cost item, the daily cost and implicit cost of the cattle farm are calculated. Specifically, the calculation of the daily cost of the cattle farm requires summarizing labor costs (including the salaries of breeding workers, milking workers, technical personnel, etc.), water fees, electricity fees, fuel fees, gasoline fees, coal fees, environmental protection fees (including manure treatment fees, environmental disinfection fees, etc.), breeding fees, epidemic prevention fees, treatment and veterinary drug fees, milking hall consumptions (including cleaning agents, disinfectants, etc.), raw milk transportation fees, raw milk testing fees, bedding expenditures, hoof trimming fees, and management fees, etc.; the implicit cost of the cattle farm requires summarizing loan interest and handling fees, farmland rental fees for the farm, transferred land fees, technical service fees (including nutritional formula service fees, breeding technology service fees, etc.), facility and equipment maintenance and repair fees, employee insurance fees, dairy cow insurance fees, dairy cow death loss fees, etc. Taking a target cattle farm as an example, its monthly daily cost of the cattle farm is 185,000 yuan, and the implicit cost of the cattle farm is 92,000 yuan. This systematic cost classification calculation method ensures the complete statistics of each cost item and provides basic data support for accurately accounting the production cost of adult cows.

[0048] Based on the above embodiments, as an alternative embodiment, in step 2013: calculating the daily cost and implicit cost of the target cattle farm based on each cost item, this step may further include the following steps: Step 3013-1: Extract the labor costs, water fees, electricity fees, fuel fees, gasoline fees, coal fees, environmental protection fees, breeding fees, epidemic prevention fees, treatment and veterinary drug fees, milking hall consumptions, raw milk transportation fees, raw milk testing fees, bedding expenditures, hoof trimming fees, and management fees of the target cattle farm from each cost item.

[0049] Specifically, it is necessary to extract each daily operation cost from the cost database of the target cattle farm. For labor costs, it is necessary to extract personnel salary expenditures such as the salaries of breeding workers, milking workers, and technical personnel; for water fees, it is necessary to extract expenditures such as production water and cleaning water; for electricity fees, it is necessary to extract expenditures such as production electricity, lighting electricity, and refrigeration electricity; for fuel fees, gasoline fees, coal fees, etc., it is necessary to extract various energy consumption expenditures; for environmental protection fees, it is necessary to extract environmental protection expenditures such as manure treatment fees and environmental disinfection fees; for breeding fees, it is necessary to extract expenditures such as artificial insemination and semen purchase; for epidemic prevention fees, it is necessary to extract expenditures such as epidemic prevention and disinfection; for treatment and veterinary drug fees, it is necessary to extract expenditures such as veterinary drug procurement and diagnosis and treatment fees; for milking hall consumptions, it is necessary to extract expenditures of daily consumables such as cleaning agents and disinfectants; for raw milk transportation fees, it is necessary to extract expenditures such as the use of transportation vehicles and labor; for raw milk testing fees, it is necessary to extract expenditures such as routine testing and quality inspection; for bedding expenditures, it is necessary to extract expenditures such as the purchase and replacement of cattle shed bedding; for hoof trimming fees, it is necessary to extract expenditures such as hoof trimming tools and technical services; for management fees, it is necessary to extract expenditures such as administrative office and daily management. The extraction of these data needs to be based on the original vouchers, expense statements, and financial records of the cattle farm to ensure the authenticity and integrity of each cost data.

[0050] Step 3013-2: Take the total cost of labor costs, water costs, electricity costs, fuel costs, gasoline costs, coal costs, environmental protection costs, breeding costs, epidemic prevention costs, treatment and veterinary drug costs, milking hall consumption, raw milk transportation costs, raw milk testing costs, bedding expenses, hoof trimming costs, and management fees as the daily farm costs of the target dairy farm.

[0051] Specifically, systematically summarize and calculate the extracted various costs to obtain the daily farm costs of the target dairy farm. Specifically, add up labor costs (including salaries of breeding workers, milking workers, and technical personnel), water costs (including production water and cleaning water), electricity costs (including production electricity, lighting electricity, and refrigeration electricity), fuel costs, gasoline costs, coal costs, environmental protection costs (including manure treatment costs and environmental disinfection costs), breeding costs, epidemic prevention costs (including epidemic prevention and disinfection), treatment and veterinary drug costs (including veterinary drug procurement and diagnosis and treatment costs), milking hall consumption (including cleaning agents and disinfectants), raw milk transportation costs (including transportation vehicle use and labor), raw milk testing costs (including routine testing and quality inspection), bedding expenses (including bedding procurement and replacement), hoof trimming costs (including hoof trimming tools and technical services), and management fees (including administrative office and daily management). This detailed cost summarization method not only ensures the accuracy and integrity of the daily cost calculation but also helps dairy farm managers clearly understand the composition and proportion of each cost, providing data support for subsequent cost management and optimization.

[0052] Step 3013-3: Extract the loan interest and handling fees, farmland lease costs, transferred land costs, technical service fees, facility and equipment maintenance and repair costs, employee insurance premiums, dairy cow insurance premiums, and dairy cow death loss costs of the target dairy farm from each cost item.

[0053] Specifically, it is necessary to extract various hidden costs from the cost database of the target dairy farm. Specifically, for loan interest and handling fees, financial costs such as bank loan interest and financing handling fees need to be extracted; for farmland lease costs, lease expenditures such as cow shed land and manure storage yard land need to be extracted; for transferred land costs, transferred expenditures such as land for planting forage and manure treatment land need to be extracted; for technical service fees, professional technical expenditures such as nutritional formula design services, breeding technical guidance, and veterinary diagnosis and treatment services need to be extracted; for facility and equipment maintenance and repair costs, equipment maintenance expenditures such as milking equipment maintenance, refrigeration equipment maintenance, and feed mixer repair need to be extracted; for employee insurance premiums, insurance expenditures such as social insurance and medical insurance for breeding workers need to be extracted; for dairy cow insurance premiums, insurance expenditures such as livestock insurance and accidental injury insurance need to be extracted; for dairy cow death loss costs, expenditures such as losses of cows not covered by insurance and accidental accident losses need to be extracted. The extraction of these hidden cost data needs to be based on the financial vouchers, contract files, and insurance records of the dairy farm to ensure the accuracy and integrity of the data.

[0054] Step 3013-4: Take the total cost of loan interest and handling fees, farmland leasing fees for the farm, transferred land fees, technical service fees, facility and equipment maintenance and repair fees, employee insurance premiums, dairy cow insurance premiums, and dairy cow death loss fees as the implicit cost of the target dairy farm.

[0055] Specifically, systematically summarize and calculate the extracted various fees to obtain the implicit cost of the target dairy farm. Specifically, sum up the loan interest and handling fees (including bank loan interest and financing handling fees), farmland leasing fees for the farm (including land leasing fees for cowsheds and manure storage yards), transferred land fees (including transfer fees for forage planting land and manure treatment land), technical service fees (including nutritional formula design, breeding technical guidance, and veterinary diagnosis and treatment service fees), facility and equipment maintenance and repair fees (including milking equipment maintenance, refrigeration equipment maintenance, and feed mixer repair fees), employee insurance premiums (including social insurance and medical insurance for breeding workers), dairy cow insurance premiums (including livestock insurance and accidental injury insurance), and dairy cow death loss fees (including non-insurance-covered losses and accidental accident losses). This detailed method of implicit cost accounting can not only comprehensively reflect various implicit inputs in the production process of the dairy farm but also help managers accurately evaluate the actual operation costs, providing data support for making scientific business decisions. By incorporating these easily overlooked implicit costs into the total cost accounting system, the accuracy and integrity of cost calculation are improved.

[0056] Step 3014: Extract the infrastructure depreciation cost, equipment depreciation cost, and replacement heifer feed cost of the target dairy farm from each cost item.

[0057] Specifically, extract the infrastructure depreciation cost, equipment depreciation cost, and replacement heifer feed cost of the target dairy farm from each cost item. Among them, the infrastructure depreciation cost of the dairy farm includes the depreciation of building facilities such as cowsheds, milking parlors, and feed sheds; the equipment depreciation cost of the dairy farm includes the depreciation of production equipment such as milking equipment, refrigeration equipment, and feed mixers; and the replacement heifer feed cost includes feed expenditures such as concentrate and roughage for replacement heifers. Taking a certain target dairy farm as an example, its monthly infrastructure depreciation cost of the dairy farm is 35,000 yuan (including 18,000 yuan for cowshed depreciation, 12,000 yuan for milking parlor depreciation, and 5,000 yuan for feed shed depreciation), the equipment depreciation cost of the dairy farm is 28,000 yuan (including 15,000 yuan for milking equipment depreciation, 8,000 yuan for refrigeration equipment depreciation, and 5,000 yuan for feed mixer depreciation), and the replacement heifer feed cost is 45,000 yuan. This detailed cost extraction method ensures the accurate accounting of various depreciation costs and feed costs, providing a reliable data basis for calculating the production cost of adult cows.

[0058] Step 3015: Substitute the daily cost of the target dairy farm, the implicit cost of the dairy farm, the depreciation cost of the dairy farm infrastructure, the depreciation cost of the dairy farm equipment, the feed cost of adult cows, and the feed cost of replacement heifers into the preset third formula to obtain the production cost of adult cows in the target dairy farm; where the preset third formula is: ; In the formula, P is the production cost of adult cows, C d is the daily cost of the dairy farm, C o is the implicit cost of the dairy farm, B d is the depreciation cost of the dairy farm infrastructure, E d is the depreciation cost of the dairy farm equipment, F m is the feed cost of adult cows, F r is the feed cost of replacement heifers.

[0059] Specifically, substitute the obtained cost data into the preset third formula P = Cd + Co + Bd + Ed + Fm + Fr to calculate the production cost of adult cows in the target dairy farm. This calculation method comprehensively considers various cost expenditures in the operation process of the dairy farm, including direct costs, indirect costs, depreciation costs, and feed costs, and can comprehensively reflect the actual cost investment in the production process of adult cows. Taking a certain target dairy farm as an example, the monthly daily cost Cd of this dairy farm is 185,000 yuan (including 58,000 yuan for labor costs, 32,000 yuan for water and electricity costs, 25,000 yuan for epidemic prevention and treatment costs, 35,000 yuan for transportation and testing costs, and 35,000 yuan for other daily expenditures), the implicit cost Co of the dairy farm is 92,000 yuan (including 25,000 yuan for loan interest, 28,000 yuan for land costs, 24,000 yuan for insurance costs, and 15,000 yuan for other implicit expenditures), the depreciation cost Bd of the dairy farm infrastructure is 35,000 yuan, the depreciation cost Ed of the dairy farm equipment is 28,000 yuan, the feed cost Fm of adult cows is 320,000 yuan (including 195,000 yuan for concentrate costs and 125,000 yuan for roughage costs), and the feed cost Fr of replacement heifers is 45,000 yuan. Substitute the calculated data into the preset third formula: P = 185,000 + 92,000 + 35,000 + 28,000 + 320,000 + 45,000 = 705,000 yuan, and the monthly production cost of adult cows in this dairy farm can be obtained as 705,000 yuan. This standardized cost calculation method not only ensures the integrity and accuracy of cost accounting but also establishes a unified cost calculation standard, facilitating horizontal comparison between different dairy farms. At the same time, by clearly classifying and including various costs in the calculation, it helps dairy farm managers clearly understand the composition and proportion of each cost, providing data support for subsequent cost management and optimization.

[0060] Step 104: Determine the cost items to be optimized by combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk.

[0061] Among them, the cost items to be optimized refer to the cost items that have a significant impact on the cost per kilogram of milk and have room for optimization during the operation of the dairy farm. The cost items to be optimized are mainly used to guide the cost management work of the dairy farm. By identifying and determining these cost items that have a significant impact on the cost per kilogram of milk, dairy farm managers can formulate targeted optimization plans and take corresponding management measures.

[0062] Specifically, it is necessary to scientifically determine the cost items to be optimized by analyzing the proportion of each cost item and its relationship with the changing trend of the cost per kilogram of milk. First, calculate the proportion of each cost item in the total cost, including the proportion of labor costs, the proportion of water and electricity costs, the proportion of energy costs, the proportion of environmental protection costs, the proportion of breeding and epidemic prevention costs, the proportion of treatment costs, the proportion of feed costs, etc., and at the same time count the changes in these cost items in the past 6 months. Then, calculate the changing trend of the cost per kilogram of milk during the same period, which is expressed by the month-on-month growth rate. Next, by calculating the correlation coefficient between the change in the proportion of each cost item and the growth rate of the cost per kilogram of milk, identify the cost items that have a greater impact on the cost per kilogram of milk. For example, the analysis results of a target dairy farm show that: the feed cost accounts for 45% of the total cost, and the correlation coefficient between its change and the cost per kilogram of milk reaches 0.85, indicating that the feed cost is the main factor affecting the cost per kilogram of milk; the labor cost accounts for 15% of the total cost, and the correlation coefficient is 0.65, with the second highest degree of influence; while the water and electricity cost only accounts for 5% of the total cost, and the correlation coefficient is 0.25, with a smaller influence. Based on the analysis results, determine the cost items with a correlation coefficient greater than 0.6 and a cost proportion exceeding 15% as the cost items to be optimized. This determination method based on data analysis takes into account both the importance (proportion) of the cost item and its sensitivity to cost changes (correlation coefficient), which can help dairy farm managers more accurately grasp the cost optimization direction and improve the optimization effect. By focusing on controlling the determined cost items to be optimized, the cost per kilogram of milk can be effectively reduced and the operating efficiency of the dairy farm can be improved.

[0063] Based on the above embodiments, as an alternative embodiment, in step 104: combining the proportion of each cost item and the relative changing trend of the cost per kilogram of milk to determine the cost items to be optimized, this step may further include the following steps: Step 401: Divide each cost item into multiple time periods according to a preset time cycle, and calculate the proportion and changing trend of each cost item within each time period.

[0064] Specifically, to comprehensively analyze the variation patterns of each cost item, it is necessary to divide each cost item into multiple time periods according to a preset time cycle (such as monthly). For example, select the cost data for the recent 6 months, divide each cost item (such as feed cost, labor cost, water and electricity cost, etc.) by month, calculate the proportion of each cost item in the total cost for each month, and calculate its month-on-month change trend. For example, calculate the percentage of the feed cost in the total cost each month, and the change rate of the feed cost between two adjacent months. Through this time series analysis method, the variation characteristics of each cost item in different time periods can be clearly presented, providing basic data support for subsequent analysis.

[0065] Step 402: Statistically analyze the top preset number of cost items in the cost per kilogram of milk to generate a list of target cost items.

[0066] Specifically, based on the calculation results, statistically analyze the average proportion of each cost item in the total cost, sort them according to the proportion size, and select the top 5 cost items with the highest proportion to generate a list of target cost items. For example, the cost items of a dairy farm may be sorted from high to low in proportion as follows: feed cost (45%), labor cost (15%), equipment depreciation cost (12%), epidemic prevention and treatment cost (8%), water and electricity cost (5%), etc., and then select the top 5 to generate a list of target cost items. This screening method based on proportion can focus the analysis on several key cost items that have the greatest impact on the total cost.

[0067] Step 403: According to the change trends of each cost item in the list of key monitored cost items, calculate the fluctuation range and growth rate of the corresponding cost item respectively to obtain the cost change characteristic values.

[0068] Specifically, conduct an in-depth analysis of each cost item in the list of target cost items, and calculate its fluctuation range and growth rate. The fluctuation range is expressed by calculating the ratio of the difference between the maximum value and the minimum value of each cost item within 6 months to the average value; the growth rate is expressed by calculating the monthly average growth rate of each cost item within 6 months. These two indicators together constitute the cost change characteristic values, which are used to quantitatively describe the change characteristics of each cost item. For example, if the fluctuation range of a cost item is 0.25 (indicating that the maximum fluctuation is 25% of the average value) and the monthly average growth rate is 3%, then its cost change characteristic value can be expressed as [0.25, 0.03].

[0069] Step 404: Based on the cost change characteristic values, determine the change correlation degree of each cost item in the list of target cost items, and combine the cost items whose correlation degree is greater than the correlation degree threshold and the change trend is an upward trend as the cost items to be optimized.

[0070] Specifically, based on the obtained cost change eigenvalue, calculate the change correlation degree between each cost item in the target cost item list. Specifically, the Pearson correlation coefficient method is adopted to calculate the correlation between the change trends of any two cost items. Set the correlation degree threshold to 0.6, and screen out the cost item combinations with a correlation degree greater than 0.6 and an upward trend in the recent six months as the cost items to be optimized. For example, if it is found that the correlation degree between the feed cost and the labor cost is 0.75, and both costs show an upward trend, then these two items are determined as the cost item combination to be optimized. This method based on correlation analysis can identify cost items that are correlated with each other and increasing simultaneously, which helps to discover the potential correlation factors for cost increase and provides more targeted direction guidance for subsequent cost optimization.

[0071] Step 105: Match the improvement measures corresponding to the cost items to be optimized from the preset optimization strategy library, and generate a standardized cost statement including the improvement measures, the cost per kilogram of milk, and the proportion of each cost item.

[0072] Among them, the standardized cost statement refers to a standardized cost analysis document used to systematically present the key information and specific measures for the cost optimization of the dairy farm. The standardized cost statement is mainly used to help the dairy farm manager master the cost composition, identify the cost optimization direction, and formulate specific improvement measures.

[0073] Specifically, based on the identified cost items to be optimized, corresponding improvement measures need to be matched from a preset optimization strategy library, and the analysis results should be presented in a standardized form. The optimization strategy library stores optimization solutions for different cost items. For example, the optimization strategies for feed cost include: optimizing the diet formula, improving the feeding method, strengthening feed procurement management, establishing a feed inventory warning mechanism, etc.; the optimization strategies for labor cost include: optimizing the work process, introducing automated equipment, improving the performance appraisal mechanism, strengthening employee training, etc.; the optimization strategies for equipment cost include: formulating an equipment maintenance plan, optimizing equipment usage efficiency, establishing an equipment renewal evaluation mechanism, etc. The system matches the most suitable combination of improvement measures from the optimization strategy library according to the specific characteristics of the cost items to be optimized. For example, when feed cost and labor cost are identified as the cost items to be optimized, the system will first match the improvement measures that can affect both costs simultaneously. For example, by introducing a TMR feeding system, it can not only optimize feed utilization rate but also reduce labor input. Subsequently, the matched improvement measures are integrated with the cost analysis results to generate a standardized cost report. This report consists of three main parts: the first part is a list of improvement measures, which details the specific improvements for each cost item to be optimized; the second part is the current cost data per kilogram of milk, including the total cost and unit cost; the third part is the proportion analysis of each cost item, which intuitively shows the composition of each cost item in the form of a pie chart or bar chart. This systematic method of optimizing solution matching and report generation can provide clear cost optimization directions and specific and feasible implementation measures for dairy farm managers, helping to improve the efficiency and accuracy of cost management.

[0074] It should be noted that to improve the accuracy and comparability of cost calculation, this application can also introduce a correction coefficient K to standardize the milk production costs under different conditions. Taking a 5000-head scale ranch in North China as the benchmark (K_region = 1, K_scale = 1), other ranches in different regions and scales are corrected. For example, for a 3000-head scale ranch in Southwest China, based on historical data analysis, its regional correction coefficient K_region = 1.15 (reflecting the relatively high feed transportation cost and climate regulation cost in this region), and the scale correction coefficient K_scale = 1.08 (reflecting the increase in unit cost due to the smaller scale). Then the comprehensive correction coefficient K of this ranch is 1.15 × 1.08 = 1.242.

[0075] In specific applications, first, extract the cost data per kilogram of milk in different regions from a preset basic database, and determine the cost differences in each region through statistical analysis. For example, if the average cost per kilogram of milk in the North China region is 4 yuan / kg, while in the Southwest region it is 4.6 yuan / kg, then the K value for the K region in the Southwest can be initially determined as 4.6 / 4 = 1.15. Similarly, by analyzing the cost data of different-scale pastures, the impact of economies of scale on costs can be obtained. For example, if the average cost of a 5000-head pasture is 4 yuan / kg and that of a 3000-head pasture is 4.32 yuan / kg, then the K value for the 3000-head scale can be determined as 4.32 / 4 = 1.08.

[0076] In actual use, this calibration system can be further refined to consider the influence of factors such as seasonal changes and management levels. For example, in summer, the cooling cost in the southern region is significantly higher than that in the northern region, and the K region can be adjusted accordingly; in terms of management level, the K value can be fine-tuned according to factors such as the automation degree and personnel training system of the pasture. In addition, the setting of the calibration coefficient K adopts a dynamic adjustment mechanism, and various coefficients are updated regularly (such as quarterly) based on the latest cost data to ensure that it continuously reflects the actual market situation.

[0077] By introducing the calibration coefficient K, a unified cost evaluation framework is established, making the cost data under different conditions comparable. This not only helps with horizontal comparisons between pastures but also provides a scientific basis for cost prediction and optimization. Especially when estimating the total cost solely based on feed cost, the application of the calibration coefficient K can significantly improve the prediction accuracy. For example, if the feed cost of a certain pasture is 2.5 yuan / kg, by applying the corresponding calibration coefficient K = 1.242 for this pasture, the standardized cost per kilogram of milk can be quickly estimated to be approximately 3.105 yuan / kg, providing timely reference for management decisions.

[0078] Refer to Figure 2 , a per-kilogram milk cost management system for a dairy farm provided by an embodiment of the present application. The system includes: a data acquisition module, a cost item filling module, a per-kilogram milk cost calculation module, and a standardized cost report generation module, where: The data acquisition module is used to acquire the cattle farm cost data of the target cattle farm and determine the missing cost items in the cattle farm cost data; The cost item filling module is used to screen out similar cattle farm data from a preset basic database according to the region, scale, and breeding mode of the target cattle farm, and fill in the missing cost items based on the similar cattle farm data; The per-kilogram milk cost calculation module is used to calculate the per-kilogram milk cost of the target cattle farm based on each cost item in the filled cattle farm cost data; The standardized cost statement generation module is used to determine the cost items to be optimized by combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk; match the improvement measures corresponding to the cost items to be optimized from the preset optimization strategy library, and generate a standardized cost statement including the improvement measures, the cost per kilogram of milk, and the proportion of each cost item.

[0079] Based on the above embodiments, the cost per kilogram of milk calculation module is further used to calculate the production cost of adult cows and the depreciation cost of adult cows in the target dairy farm by combining each cost item in the filled dairy farm cost data, and extract the feed cost of adult cows in the target dairy farm from each cost item; obtain the cow dung sales income, insurance claim income, and total fresh milk output of the target dairy farm; substitute the production cost of adult cows, feed cost of adult cows, depreciation cost of adult cows, cow dung sales income, insurance claim income, and total fresh milk output of the target dairy farm into the preset first formula to obtain the cost per kilogram of milk of the target dairy farm; where the preset first formula is: ; In the formula, C is the cost per kilogram of milk of the target dairy farm, P is the production cost of adult cows, F is the feed cost of adult cows, D is the depreciation cost of adult cows, S is the cow dung sales income, I is the insurance claim income, and M is the total fresh milk output.

[0080] Based on the above embodiments, the cost per kilogram of milk calculation module is further used to extract the number of lactating cows, the number of dry cows, and the original value of adult cows in the target dairy farm from each cost item; obtain the benchmark residual value rate and benchmark economic life of adult cows in the target dairy farm; substitute the number of lactating cows, the number of dry cows, the original value of adult cows, the benchmark residual value rate of adult cows, and the benchmark economic life into the preset second formula to obtain the depreciation cost of adult cows in the target dairy farm; where the preset second formula is: ; In the formula, D is the depreciation cost of adult cows, N m is the number of lactating cows, N d is the number of dry cows, V m is the original value of adult cows, R v is the benchmark residual value rate, L e is the benchmark economic life.

[0081] Based on the above embodiments, the cost per kilogram of milk calculation module is further used to calculate the daily cost of the dairy farm and the implicit cost of the dairy farm based on each cost item; extract the infrastructure depreciation cost of the dairy farm, the equipment depreciation cost of the dairy farm, and the feed cost of replacement heifers from each cost item; substitute the daily cost of the dairy farm, the implicit cost of the dairy farm, the infrastructure depreciation cost of the dairy farm, the equipment depreciation cost of the dairy farm, the feed cost of adult cows, and the feed cost of replacement heifers into the preset third formula to obtain the production cost of adult cows in the target dairy farm; where the preset third formula is: ; Wherein, P is the production cost of adult cows, C d is the daily cost of the cattle farm, C o is the implicit cost of the cattle farm, B d is the infrastructure depreciation cost of the cattle farm, E d is the equipment depreciation cost of the cattle farm, F m is the feed cost of adult cows, F r is the feed cost of replacement heifers.

[0082] Based on the above embodiments, the cost per kilogram of milk calculation module is further configured to extract the labor cost, water cost, electricity cost, fuel cost, gasoline cost, coal cost, environmental protection cost, breeding cost, epidemic prevention cost, treatment and veterinary drug cost, milking hall consumption, raw milk transportation cost, raw milk detection cost, bedding expenditure, hoof trimming cost, and management cost of the target cattle farm from each cost item; take the total cost of the labor cost, water cost, electricity cost, fuel cost, gasoline cost, coal cost, environmental protection cost, breeding cost, epidemic prevention cost, treatment and veterinary drug cost, milking hall consumption, raw milk transportation cost, raw milk detection cost, bedding expenditure, hoof trimming cost, and management cost as the daily cost of the target cattle farm; extract the loan interest and handling fees, cattle farm land lease cost, transferred land cost, technical service cost, facility and equipment maintenance and repair cost, employee insurance cost, dairy cow insurance cost, and dairy cow death loss cost of the target cattle farm from each cost item; take the total cost of the loan interest and handling fees, cattle farm land lease cost, transferred land cost, technical service cost, facility and equipment maintenance and repair cost, employee insurance cost, dairy cow insurance cost, and dairy cow death loss cost as the implicit cost of the target cattle farm.

[0083] Based on the above embodiments, the standardized cost statement generation module is further configured to perform standardized processing on the cattle farm data in the preset basic database to obtain standardized cattle farm data; generate a feature vector of the target cattle farm based on the region, scale, and breeding mode of the target cattle farm; calculate the similarity between the feature vectors of each cattle farm in the standardized cattle farm data and the feature vector of the target cattle farm; select the standardized cattle farm data with a similarity greater than the similarity threshold as the similar cattle farm data.

[0084] Based on the above embodiments, the standardized cost statement generation module is further configured to divide each cost item into multiple time periods according to a preset time period, calculate the proportion and change trend of each cost item within each time period; count the preset number of cost items with the highest proportion in the cost per kilogram of milk to generate a list of target cost items; calculate the fluctuation range and growth rate of the corresponding cost items respectively according to the change trend of each cost item in the list of key monitored cost items to obtain cost change characteristic values; determine the change correlation degree of each cost item in the list of target cost items based on the cost change characteristic values, and combine the cost items with a correlation degree greater than the correlation degree threshold and an upward change trend as the cost items to be optimized.

[0085] It should be noted that when the device provided in the above embodiments realizes its functions, only the division of the above-mentioned functional modules is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments belong to the same concept. For the specific implementation process, please refer to the method embodiments and will not be elaborated here.

[0086] This application also discloses an electronic device. Refer to Figure 3 , Figure 3 which is a schematic structural diagram of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0087] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0088] Among them, the user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0089] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface).

[0090] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by invoking the data stored in the memory 305, it executes various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface graphs, and application programs, etc.; the GPU is responsible for the rendering and drawing of the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately by a single chip.

[0091] Among them, the memory 305 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 305 may further be at least one storage device located far from the aforementioned processor 301. Refer to Figure 3 , as a computer storage medium, the memory 305 may include an operating system, a network communication module, a user interface module, and an application program for a method of managing the cost per kilogram of milk in a dairy farm.

[0092] In Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input and obtain the data input by the user; while the processor 301 can be used to call the application program stored in the memory 305 for a method of managing the cost per kilogram of milk in a dairy farm. When executed by one or more processors 301, the electronic device 300 is caused to execute the method of one or more of the above embodiments. It should be noted that for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described order of actions, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0093] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] In several implementation manners provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The displayed or discussed coupling or direct coupling or communication connection to each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0095] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0096] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0097] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of this application. The aforementioned memory includes various media that can store program codes, such as USB flash drives, mobile hard disks, magnetic disks, or optical discs.

[0098] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other implementation schemes of the present disclosure after considering the specification and the practice of the disclosure.

[0099] This application aims to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary.

Claims

1. A method for managing the cost per kilogram of milk in a dairy farm, characterized in that, Including: Obtain the cattle farm cost data of the target cattle farm and determine the missing cost items in the cattle farm cost data; According to the region, scale and breeding mode of the target cattle farm, screen out similar cattle farm data from the preset basic database, and fill in the missing cost items based on the similar cattle farm data; Based on each cost item in the filled cattle farm cost data, calculate the cost per kilogram of milk of the target cattle farm; Combine the proportion of each cost item and the relative change trend of the cost per kilogram of milk to determine the cost item to be optimized; Match the improvement measures corresponding to the cost item to be optimized from the preset optimization strategy library, and generate a standardized cost statement including the improvement measures, the cost per kilogram of milk, and the proportion of each cost item.

2. The method for managing the cost per kilogram of milk in a dairy farm according to claim 1, wherein The calculating the cost per kilogram of milk of the target cattle farm based on each cost item in the filled cattle farm cost data includes: Combine each cost item in the filled cattle farm cost data, calculate the production cost of adult cows and the depreciation cost of adult cows in the target cattle farm, and extract the feed cost of adult cows in the target cattle farm from each cost item; Obtain the cow dung sales revenue, insurance claim revenue and total fresh milk output of the target cattle farm; Substitute the production cost of adult cows, the feed cost of adult cows, the depreciation cost of adult cows, the cow dung sales revenue, the insurance claim revenue and the total fresh milk output of the target cattle farm into the preset first formula to obtain the cost per kilogram of milk of the target cattle farm; Wherein, the preset first formula is: ； In the formula, C is the cost per kilogram of milk of the target cattle farm, P is the production cost of adult cows, F is the feed cost of adult cows, D is the depreciation cost of adult cows, S is the cow dung sales revenue, I is the insurance claim revenue, and M is the total fresh milk output.

3. The method for managing the cost per kilogram of milk in a dairy farm according to claim 2, characterized in that, The calculating the depreciation cost of adult cows in the target cattle farm by combining each cost item in the filled cattle farm cost data includes: Extract the number of lactating cows, the number of dry cows and the original value of adult cows in the target cattle farm from each cost item; Obtain the benchmark residual value rate and benchmark economic life of adult cows in the target cattle farm; Substitute the number of lactating cows, the number of dry cows, the original value of adult cows, the benchmark residual value rate of adult cows and the benchmark economic life of the target cattle farm into the preset second formula to obtain the depreciation cost of adult cows in the target cattle farm; Wherein, the preset second formula is: ； Where D is the depreciation expense of the said mature cows, N m is the number of lactating cows, N d is the number of dry cows, V m is the original value of the said mature cows, R v is the said benchmark residual value rate, L e is the said benchmark economic life.

4. The method for managing the cost per kilogram of milk in a dairy farm according to claim 2, characterized in that, The calculating the production cost of adult cows in the target cattle farm by combining each cost item in the filled cattle farm cost data includes: Based on each cost item, calculate the daily cost of the cattle farm and the implicit cost of the cattle farm in the target cattle farm; Extract the infrastructure depreciation cost of the cattle farm, the equipment depreciation cost of the cattle farm and the feed cost of replacement heifers in the target cattle farm from each cost item; Substitute the daily cost of the cattle farm, the implicit cost of the cattle farm, the infrastructure depreciation cost of the cattle farm, the equipment depreciation cost of the cattle farm, the feed cost of adult cows and the feed cost of replacement heifers of the target cattle farm into the preset third formula to obtain the production cost of adult cows in the target cattle farm; Wherein, the preset third formula is: ； Wherein, P is the production cost of the lactating cows, C d is the daily cost of the cattle farm, C o is the implicit cost of the cattle farm, B d is the infrastructure depreciation cost of the cattle farm, E d is the equipment depreciation cost of the cattle farm, F m is the feed cost of the lactating cows, F r is the feed cost of the replacement heifers.

5. The method for managing the cost per kilogram of milk in a dairy farm according to claim 4, wherein The calculating the daily cost of the cattle farm and the implicit cost of the cattle farm in the target cattle farm based on each cost item includes: Extract the labor cost, water cost, electricity cost, fuel cost, gasoline cost, coal cost, environmental protection cost, breeding cost, epidemic prevention cost, treatment and veterinary drug cost, milking hall consumption, fresh milk transportation cost, fresh milk detection cost, bedding expenditure, hoof trimming cost, and management cost of the target dairy farm from each of the above cost items; Take the total cost of the labor cost, water cost, electricity cost, fuel cost, gasoline cost, coal cost, environmental protection cost, breeding cost, epidemic prevention cost, treatment and veterinary drug cost, milking hall consumption, fresh milk transportation cost, fresh milk detection cost, bedding expenditure, hoof trimming cost, and management cost as the daily cost of the target dairy farm; Extract the loan interest and handling fees, farmland leasing cost, transferred land cost, technical service fee, facility and equipment maintenance and repair cost, employee insurance cost, dairy cow insurance cost, and dairy cow death loss cost of the target dairy farm from each of the above cost items; Take the total cost of the loan interest and handling fees, farmland leasing cost, transferred land cost, technical service fee, facility and equipment maintenance and repair cost, employee insurance cost, dairy cow insurance cost, and dairy cow death loss cost as the implicit cost of the target dairy farm; 6. The method for managing the cost per kilogram of milk in a dairy farm according to claim 1, characterized in that According to the region, scale, and breeding mode of the target dairy farm, screen out similar dairy farm data from a preset basic database, including: Perform standardization processing on the dairy farm data in the preset basic database to obtain standardized dairy farm data; Generate a feature vector of the target dairy farm based on the region, scale, and breeding mode of the target dairy farm; Calculate the similarity between the feature vectors of each dairy farm in the standardized dairy farm data and the feature vector of the target dairy farm; Select the standardized dairy farm data with the similarity greater than the similarity threshold as the similar dairy farm data; 7. The method for managing the cost per kilogram of milk in a dairy farm according to claim 1, wherein, Combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk to determine the cost item to be optimized, including: Divide each cost item into multiple time periods according to a preset time cycle, and calculate the proportion and change trend of each cost item within each time period; Count the top preset number of cost items in the proportion of the cost per kilogram of milk to generate a list of target cost items; According to the change trend of each cost item in the list of key monitored cost items, calculate the fluctuation range and growth rate of the corresponding cost item respectively to obtain cost change characteristic values; Based on the cost change characteristic values, determine the change correlation degree of each cost item in the list of target cost items, and take the combination of cost items with the correlation degree greater than the correlation degree threshold and the change trend being an upward trend as the cost item to be optimized; 8. A cost management system for per-kilogram milk in a dairy farm, characterized in that, The system includes: A data acquisition module for acquiring the dairy farm cost data of the target dairy farm and determining the missing cost items in the dairy farm cost data; A cost item filling module for screening out similar dairy farm data from a preset basic database according to the region, scale, and breeding mode of the target dairy farm, and filling the missing cost items based on the similar dairy farm data; A cost per kilogram of milk calculation module for calculating the cost per kilogram of milk of the target dairy farm based on each cost item in the filled dairy farm cost data; The standardized cost statement generation module is used to determine the cost items to be optimized by combining the proportion of each cost item and the relative change trend of the cost per kilogram of milk; match the improvement measures corresponding to the cost items to be optimized from a preset optimization strategy library, and generate a standardized cost statement including the improvement measures, the cost per kilogram of milk, and the proportion of each cost item.

9. An electronic device, characterized in that, It includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory so that the electronic device executes the method for managing the cost per kilogram of milk in a dairy farm as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, and when the instructions are executed, the method for managing the cost per kilogram of milk in a dairy farm as described in any one of claims 1-7 is executed.

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