Livestock and poultry precise breeding management system and method based on data collection

Abstract

The present application relates to the technical field of breeding management, and specifically discloses a livestock and poultry precise breeding management system and method based on data collection, which monitors the feeding habits of individual livestock and poultry in each group-reared livestock and poultry pen, and screens out suspected non-group-matched livestock and poultry. Since the change in feeding habits is often an early signal of problems in the health of livestock and poultry, screening out suspected non-group-matched livestock and poultry helps the breeding personnel to discover potential health problems in time, prevents the spread of diseases in the group, reduces the morbidity and mortality of livestock and poultry, and can also discover individuals whose feeding and weight gain trends are inconsistent with the group, so as to determine non-matched livestock and poultry to be managed. According to the specific increase in feed-to-weight ratio and decrease in feeding amount, individuals with similar feeding habits are re-grouped, a group-reared livestock and poultry pen is obtained, and a targeted feeding plan is formulated for the group-reared livestock and poultry pen.

Description

Technical Field

[0001] This invention relates to the field of livestock and poultry management technology, specifically to a precision livestock and poultry breeding management system and method based on data acquisition. Background Technology

[0002] In the ongoing development of the livestock and poultry farming industry, large-scale and intensive farming models are becoming increasingly popular. This has greatly improved the efficiency and output of livestock and poultry farming, meeting the growing market demand for livestock and poultry products. However, with the expansion of farming scale, the problems faced in the livestock and poultry farming process are becoming increasingly complex and diverse. Among them, how to achieve precise farming management has become a key factor restricting the further development of the industry.

[0003] Traditional livestock and poultry farming management often relies on the experience of farmers for extensive management. In terms of monitoring livestock and poultry growth, it typically involves only periodic overall observations and approximate weight checks, making it difficult to accurately grasp the weight changes of each individual animal at different growth stages. This leads to the inability to promptly detect growth differentiation among individuals within the livestock and poultry group. Mixing livestock and poultry at different growth stages means that slower-growing animals may not receive a suitable growth environment, while faster-growing animals may have their growth potential affected due to unequal resource allocation, ultimately impacting the overall growth rate and farming efficiency of the livestock and poultry group.

[0004] Traditional livestock farming management lacks effective identification and targeted management measures for individual livestock whose feed intake and weight gain trends differ from the group's. Under traditional feeding models, management often employs uniform feeding times and fixed amounts. This approach ignores the dynamic differences in nutritional needs among different breeds, ages, and even health conditions, making precise feeding impossible. Livestock at different growth stages and in different health conditions have varying requirements for feed nutrition and feeding frequency. Failure to develop precise feeding plans based on these specific needs not only wastes feed resources but also negatively impacts livestock growth quality and farming efficiency.

[0005] Therefore, the present invention provides a livestock and poultry precision breeding management system and method based on data acquisition. Summary of the Invention

[0006] The purpose of this invention is to provide a precision livestock and poultry breeding management system and method based on data acquisition, so as to solve the above-mentioned background problems.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A data-driven precision livestock and poultry farming management method includes:

[0009] The weight of individual livestock and poultry is monitored during each monitoring period of the livestock and poultry breeding cycle. This identifies whether growth differentiation occurs among individual livestock and poultry in the livestock and poultry group. If it does, individual livestock and poultry at the same growth stage are grouped together for breeding, resulting in multiple group-raised livestock and poultry pens.

[0010] The feeding habits of individual livestock and poultry in each group-raised livestock and poultry pen were monitored to screen out suspected non-group livestock and poultry.

[0011] Based on the analysis of the feeding habits of suspected non-herd livestock and poultry, unsuitable livestock and poultry to be managed were identified.

[0012] A similarity analysis was conducted on the feeding habits of each mismatched livestock and poultry to be managed, and the mismatched livestock and poultry with similar feeding habits were grouped together for breeding management.

[0013] As a further aspect of the present invention, the process for identifying whether individual livestock or poultry within a livestock or poultry herd exhibits growth differentiation is as follows:

[0014] The weight of each individual livestock and poultry during the livestock and poultry breeding monitoring period is obtained as the livestock and poultry weight for a single time period.

[0015] The standard deviation of the weight of each individual animal and poultry in a single time period is calculated to obtain the animal and poultry growth identification value.

[0016] If the livestock and poultry growth identification value is greater than the livestock and poultry growth identification threshold, it will be displayed as a breeding growth differentiation signal and marked as the target livestock and poultry.

[0017] As a further aspect of the present invention, the process of obtaining a group-housed livestock pen is as follows:

[0018] Any two target livestock and poultry are combined into a livestock and poultry breeding group. Within the livestock and poultry breeding group, the single-time weight of the target livestock and poultry in each livestock and poultry breeding monitoring period is extracted. Based on the single-time weight of the livestock and poultry in the same livestock and poultry breeding monitoring period, it is substituted into the Euclidean distance formula to obtain the weight analysis value of the same growth segment.

[0019] If the weight analysis value of the same birth segment is less than or equal to the weight analysis threshold of the same birth segment, then the livestock and poultry waiting to be raised together will be regarded as a group-raised livestock and poultry pen.

[0020] As a further aspect of the present invention, the process of monitoring the feeding habits of individual livestock and poultry within each group-raised livestock and poultry pen is as follows:

[0021] Set a group feeding monitoring cycle and divide it equally to obtain several group feeding monitoring periods. Randomly select individual livestock and poultry in the group feeding pen as feeding analysis livestock and poultry, and obtain the single feeding amount of the feeding analysis livestock and poultry in each group feeding monitoring period.

[0022] The weight gain and feed intake growth of livestock and poultry in each group feeding monitoring period are obtained. Within the same group feeding monitoring period, the weight gain and feed intake growth are compared by sign. If the weight gain and feed intake growth have the same sign, the group feeding monitoring period is designated as the group feeding matching period.

[0023] The proportion of the number of group feeding matching periods to the total number of group feeding monitoring periods was statistically analyzed to obtain the growth trend matching value;

[0024] The ratio of feed intake growth to body weight gain during the group feeding matching period is calculated to obtain the growth rate analysis value;

[0025] The standard deviation of all growth rate analysis values ​​is calculated to obtain the growth rate matching value.

[0026] As a further aspect of the present invention, the screening process for suspected non-herd livestock and poultry is as follows:

[0027] The ratio of the growth trend matching value to the growth degree matching value is calculated to obtain the livestock and poultry matching analysis value. If the livestock and poultry matching analysis value is less than or equal to the livestock and poultry matching analysis threshold, the livestock and poultry that consume the feed are marked as suspected non-herd livestock and poultry.

[0028] As a further aspect of the present invention, the process for obtaining weight gain and food intake gain is as follows:

[0029] The weight gain is calculated by subtracting the weights of livestock and poultry in adjacent feeding monitoring periods and then comparing it with the weights of livestock and poultry in the preceding feeding monitoring period in the time dimension.

[0030] The feed intake growth is calculated by subtracting the feed intake of livestock and poultry in adjacent group feeding monitoring periods and then comparing it with the feed intake of livestock and poultry in the preceding group feeding monitoring period in the time dimension.

[0031] As a further aspect of the present invention, the process of analyzing the feeding habits of suspected non-herd livestock and poultry is as follows:

[0032] Extract the feeding monitoring periods of suspected non-group livestock and poultry within the group feeding monitoring cycle. Calculate the ratio of feed intake to weight gain within the group feeding monitoring period to obtain the feed conversion ratio (FCR) for each period, and construct a FCR change curve.

[0033] The curve between two adjacent coordinate points on the material weight ratio change curve is taken as the material weight ratio change sub-curve. The slope of each material weight ratio change sub-curve is obtained by using the slope calculation formula. The number of material weight ratio change sub-curves with a positive slope is extracted and the ratio is calculated with the total number of material weight ratio change sub-curves to obtain the material weight ratio increase analysis value.

[0034] The average feed intake of suspected grouped livestock and poultry during each group feeding monitoring period was calculated to obtain the comparative feed intake.

[0035] The feed intake of suspected non-group livestock and poultry in each group feeding monitoring period was compared with the comparison feed intake. The group feeding monitoring periods with feed intake less than the comparison feed intake were extracted, and the number of these periods was counted. The proportion of these periods to the total number of group feeding monitoring periods was used to obtain the feed intake decrease analysis value.

[0036] As a further aspect of the present invention, the screening process for non-matching livestock and poultry to be managed is as follows:

[0037] The analysis values ​​of increased feed conversion ratio and decreased feed intake are summed to obtain the non-matching management value. If the non-matching management value is greater than or equal to the non-matching management threshold, the suspected non-group livestock and poultry are marked as non-matching management livestock and poultry.

[0038] As a further aspect of the present invention, the process of performing a similarity analysis on the feeding habits of each non-matching livestock and poultry to be managed is as follows:

[0039] Two unmatched livestock and poultry under management are randomly selected and combined into an unmatched management group. The single feed intake of each unmatched livestock and poultry under management is extracted during the group feeding monitoring period. Based on the single feed intake during the same group feeding monitoring period, the feed intake is substituted into the Euclidean distance formula to obtain the feed intake similarity analysis value.

[0040] If the feed intake similarity analysis value is less than or equal to the feed intake similarity analysis threshold, then the non-matched livestock and poultry in the non-matched management group will be raised together.

[0041] A precision livestock and poultry farming management system based on data acquisition includes:

[0042] Group farming identification module: The weight of individual livestock and poultry is monitored during each monitoring period of the livestock and poultry farming within the set monitoring cycle. It identifies whether individual livestock and poultry in the group show growth differentiation. If so, individual livestock and poultry in the same growth stage are grouped together for farming, resulting in multiple group farming pens.

[0043] Group feeding monitoring module: Monitors the feeding habits of individual livestock and poultry in each group-housed livestock and poultry pen, and screens out suspected non-group livestock and poultry;

[0044] Non-Matching and Management Analysis Module: Based on the feeding habits of suspected non-group livestock and poultry, identify non-matching livestock and poultry to be managed;

[0045] Group farming management module: Performs similarity analysis on the feeding habits of each unmatched livestock and poultry to be managed, and performs group farming management on unmatched livestock and poultry with similar feeding habits.

[0046] The beneficial effects of this invention are as follows:

[0047] 1. This invention monitors the feeding habits of individual livestock and poultry within each group-housed pen, screening out suspected non-group animals and poultry. Since changes in feeding habits are often early signs of health problems in livestock and poultry, screening out suspected non-group animals and poultry helps farmers to promptly identify potential health issues, such as infectious diseases and digestive system disorders, preventing the spread of diseases within the group and reducing morbidity and mortality rates. Furthermore, it can identify individuals whose feeding and weight gain trends are inconsistent with the group. Further analysis of the feeding habits of suspected non-group animals and poultry identifies mismatched animals and poultry to be managed. Based on specific increases in feed conversion ratio and decreases in feed intake, individuals with similar feeding habits can be regrouped to form a group-housed livestock and poultry pen, and a targeted feeding plan can be developed for this pen.

[0048] 2. This invention performs a similarity analysis on the feeding habits of each mismatched livestock and poultry to be managed, and groups mismatched livestock and poultry with similar feeding habits together for breeding management. This allows breeders to observe the feeding behavior of these livestock and poultry in a concentrated manner, and to promptly manage livestock and poultry with potential health problems in a group. It can also isolate them from other healthy livestock and poultry groups, prevent the spread of diseases in a larger group, reduce the incidence and mortality of livestock and poultry, and ensure the health level of the entire breeding group. Moreover, livestock and poultry at different growth stages and with different health conditions have different needs in terms of feed nutrition, feeding frequency, etc. By grouping mismatched livestock and poultry with similar feeding habits together, more precise and targeted feeding plans can be formulated according to the specific needs of the group of livestock and poultry, such as growth stage and health condition. Attached Figure Description

[0049] The invention will now be further described with reference to the accompanying drawings.

[0050] Figure 1 This is a logic module diagram of a precision livestock and poultry breeding management method based on data acquisition according to the present invention;

[0051] Figure 2 This is a flowchart illustrating the judgment process of a precision livestock and poultry farming management method based on data collection in this invention.

[0052] Figure 3 This is a flowchart of a data acquisition-based precision livestock and poultry breeding management system according to the present invention. Detailed Implementation

[0053] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0054] Example 1

[0055] like Figure 1 - Figure 2 As shown, this embodiment provides a method for precision livestock and poultry farming management based on data acquisition, including:

[0056] Step 1: Monitor the weight of individual livestock and poultry during each monitoring period within the established livestock and poultry breeding monitoring cycle to identify whether growth differentiation has occurred among individual livestock and poultry in the livestock and poultry group. If so, group individual livestock and poultry at the same growth stage together to obtain multiple group-raised livestock and poultry pens.

[0057] It should be noted that the monitoring period for livestock and poultry farming is obtained by dividing the livestock and poultry farming monitoring cycle into several equal monitoring periods, wherein the duration of each monitoring period is equal.

[0058] In some embodiments, the weight of each individual livestock and poultry during the livestock and poultry breeding monitoring period is obtained as the livestock and poultry weight for a single time period.

[0059] The standard deviation of the weight of all individual livestock and poultry in a single time period is calculated to obtain the livestock and poultry growth identification value;

[0060] It is understandable that the livestock and poultry growth identification value represents the degree of dispersion in long-term growth levels among individuals within a group. It is a core quantitative indicator for determining whether individuals at different growth stages are mixed within the group, i.e., an indicator for determining whether there is individual growth differentiation within the livestock and poultry farming group. It can provide a clear basis for grouping in mixed farming. Specifically, the higher the livestock and poultry growth identification value, the better.

[0061] If the livestock and poultry growth identification value is less than or equal to the livestock and poultry growth identification threshold, it indicates that the lower the dispersion of the weight of individual livestock and poultry in the livestock and poultry breeding group, that is, the smaller the weight difference between each livestock and poultry, the lower the probability of breeding growth differentiation, and the signal of breeding growth non-differentiation.

[0062] If the livestock and poultry growth identification value is greater than the livestock and poultry growth identification threshold, it indicates that the higher the dispersion of the weight of individual livestock and poultry in the livestock and poultry breeding group, that is, the greater the weight difference between each livestock and poultry, the greater the probability of breeding growth differentiation, which is displayed as a breeding growth differentiation signal and marked as the target livestock and poultry.

[0063] Any two target livestock and poultry are combined into a livestock and poultry breeding group. Within the livestock and poultry breeding group, the single-time weight of the target livestock and poultry in each livestock and poultry breeding monitoring period is extracted. Based on the single-time weight of the livestock and poultry in the same livestock and poultry breeding monitoring period, it is substituted into the Euclidean distance formula to obtain the weight analysis value of the same growth segment.

[0064] It is understandable that the meaning of the same-growth-segment weight analysis value is essentially a value calculated based on Euclidean distance. It directly reflects the difference in weight between two target livestock and poultry in a specific livestock and poultry breeding monitoring group within the same breeding monitoring period. A larger same-growth-segment weight analysis value indicates a greater difference in growth weight between the two target livestock and poultry in the same breeding monitoring group within the same breeding monitoring period; conversely, a smaller same-growth-segment weight analysis value indicates a smaller difference in growth weight between the two target livestock and poultry in the same breeding monitoring group within the same breeding monitoring period, and also indicates the synchronicity of weight changes between the two livestock and poultry throughout the entire breeding cycle.

[0065] If the weight analysis value of the same growth stage is greater than the weight analysis threshold of the same growth stage, it indicates that the two target livestock and poultry in the livestock and poultry waiting to be combined for breeding have a large difference in growth weight during the same livestock and poultry breeding monitoring period, that is, they are not in the same growth stage. They need to be recombined with the remaining livestock and poultry into a livestock and poultry waiting to be combined for breeding, and the weight analysis value of the same growth stage needs to be obtained again for analysis.

[0066] If the weight analysis value of the same growth stage is less than or equal to the weight analysis threshold of the same growth stage, it indicates that the two target livestock and poultry in the same livestock and poultry breeding group have a small difference in growth weight during the same livestock and poultry breeding monitoring period, that is, they are in the same growth stage. It is appropriate to breed the two target livestock and poultry in the same breeding group together and use the breeding group as a group-raising livestock and poultry pen.

[0067] To understand this, the significance of acquiring group-housed livestock pens lies in the fact that traditional feeding models often employ uniform feeding times and fixed amounts—a "one-size-fits-all" feeding strategy. This approach ignores the dynamic differences in nutritional needs among different breeds, ages, and even health conditions of livestock. Furthermore, the lack of precise measurement methods leads to significant feed waste. Farmers struggle to accurately assess actual feed intake and, to prevent underfeeding, often overfeed. Simultaneously, precise feeding is also a crucial means of disease early warning. When individual livestock suddenly experience a drop in feed intake or an abnormal increase in water consumption, the system automatically alerts management, indicating potential disease risks and enabling early intervention for health issues. By precisely controlling feed delivery, not only can feed costs be minimized and feed conversion rates improved, but nitrogen and phosphorus emissions in excrement can also be reduced at the source, driving the livestock industry towards a green and sustainable transformation.

[0068] Grouping livestock and poultry at the same growth stage into pens makes their growth rhythm more consistent. This allows for the adoption of uniform standards in feed delivery and environmental control. Furthermore, because the livestock and poultry are at similar growth stages, the monitoring and analysis of growth indicators are more targeted and accurate, enabling managers to observe the growth trends of the livestock and poultry in the group and promptly detect any abnormalities.

[0069] At the same time, grouping livestock and poultry at the same growth stage together can help managers more accurately estimate feed intake based on the specific needs of the livestock and poultry at that stage, avoiding overfeeding that would waste feed or underfeeding that would affect the growth of livestock and poultry. It can also adjust the feeding plan in a timely manner based on the actual growth and feed intake of the livestock and poultry, so as to achieve scientific feed supply.

[0070] Example 2

[0071] like Figure 1 - Figure 2 As shown, this embodiment provides a method for precision livestock and poultry farming management based on data acquisition, including:

[0072] Step 2: Monitor the feeding habits of individual livestock and poultry in each group-raised pen to screen out suspected non-group livestock and poultry;

[0073] It should be noted that foraging habits include foraging frequency, foraging duration, or amount of food consumed per feeding.

[0074] In some embodiments, a group feeding monitoring cycle is set, and the group feeding monitoring cycle is divided according to the method of dividing the livestock and poultry breeding monitoring cycle to obtain several group feeding monitoring periods.

[0075] Individual livestock and poultry in a group-housed livestock and poultry pen are randomly selected as livestock and poultry for feed intake analysis, and the amount of feed consumed by the livestock and poultry for feed intake analysis is obtained in a single feed intake monitoring period in each group-housed feed intake monitoring period.

[0076] The weight gain of livestock and poultry in each group feeding monitoring period was obtained. The weight gain was calculated by subtracting the weight of livestock and poultry in adjacent group feeding monitoring periods and then comparing it with the weight of livestock and poultry in the previous group feeding monitoring period in the time dimension.

[0077] The feed intake growth of livestock and poultry in each group feeding monitoring period is obtained. The feed intake growth is calculated by subtracting the feed intake of livestock and poultry in adjacent group feeding monitoring periods and then comparing it with the feed intake of the corresponding livestock and poultry in the previous group feeding monitoring period in the time dimension.

[0078] During the same feeding monitoring period, the signs of weight gain and feeding gain are compared. If the signs of weight gain and feeding gain are the same (e.g., both weight gain and feeding gain are positive, both weight gain and feeding gain are negative, or both weight gain and feeding gain are 0), then the feeding monitoring period is designated as the feeding matching period.

[0079] If the weight gain and feed intake gain are of opposite signs (e.g., weight gain is positive and feed intake gain is negative or 0, or weight gain is negative and feed intake gain is positive or 0), then the feeding monitoring period for group rearing will be designated as the non-matching feeding period for group rearing.

[0080] The proportion of the number of group feeding matching periods to the total number of group feeding monitoring periods was statistically analyzed to obtain the growth trend matching value;

[0081] The ratio of feed intake growth to body weight gain during the group feeding matching period is calculated to obtain the growth rate analysis value;

[0082] The standard deviation of all growth rate analysis values ​​is calculated to obtain the growth rate matching value;

[0083] The ratio of the growth trend matching value to the growth degree matching value is calculated to obtain the livestock and poultry matching analysis value.

[0084] It is understandable that the livestock and poultry matching analysis value represents a quantitative indicator that considers multiple characteristics of the relationship between feed intake and weight gain in livestock and poultry. It reflects the degree of fit between the feeding program and the individual's growth status during the growth stage from two key dimensions: trend matching and degree matching. On the one hand, the growth trend matching value shows the periods when the weight gain and feed intake growth of livestock and poultry are of the same sign in adjacent group feeding monitoring periods, indicating a high degree of synchronization between feed intake behavior and weight change. On the other hand, the growth degree matching value shows the periods when feed intake and weight gain trends are matched. Within a given period, the relative relationship between the degree of weight gain and the degree of feed intake growth in livestock and poultry is relatively stable. Specifically, if the livestock and poultry matching analysis value is larger, it indicates that the feed intake and weight gain trends of livestock and poultry in the feed intake analysis are matched over a larger number of monitoring periods, and the ratio of weight gain to feed intake growth is relatively stable. If the livestock and poultry matching analysis value is smaller, it indicates that the feed intake and weight gain trends of livestock and poultry in the feed intake analysis are matched over a smaller number of monitoring periods, and the ratio of weight gain to feed intake growth is relatively stable.

[0085] If the livestock and poultry matching analysis value is greater than or equal to the livestock and poultry matching analysis threshold, it indicates that the feeding and weight gain trends of the livestock and poultry in the feeding analysis are matched over a relatively long period of monitoring, and the ratio of weight gain to feeding gain is relatively stable. The livestock and poultry in the feeding analysis are marked as suspected herding livestock and poultry, and the feeding habits of the suspected matched livestock and poultry are continuously monitored.

[0086] If the livestock and poultry matching analysis value is less than or equal to the livestock and poultry matching analysis threshold, it indicates that the feed intake and weight gain trends of the livestock and poultry in the feed intake analysis are matched in a shorter monitoring period, and the ratio of weight gain to feed intake growth is relatively stable. The livestock and poultry in the feed intake analysis are marked as suspected non-herd livestock and poultry.

[0087] Step 3: Analyze the feeding habits of suspected non-herd livestock and poultry to identify unsuitable livestock and poultry to be managed;

[0088] In some embodiments, the feeding monitoring period of suspected non-group livestock and poultry within the group feeding monitoring period is extracted, and the ratio of feed intake to weight gain is calculated within the group feeding monitoring period to obtain the feed conversion ratio for that period.

[0089] The feed conversion ratio for each time period is calculated by comparing the increase in feed intake with the increase in body weight.

[0090] The feed conversion ratio for each feeding monitoring period in each group was substituted into the feed conversion ratio change curve with the X-axis representing time and the Y-axis representing the feed conversion ratio for each period, in chronological order.

[0091] The curve between two adjacent coordinate points on the material weight ratio change curve is taken as the material weight ratio change sub-curve, and the slope of each material weight ratio change sub-curve is obtained by using the slope calculation formula, which is taken as the material weight change sub-slope.

[0092] Extract the number of sub-curves of material weight ratio change with a positive slope, and calculate the ratio with the total number of sub-curves of material weight ratio change to obtain the analysis value of material weight ratio increase.

[0093] It should be noted that the sub-slope of material weight change can be positive, negative or 0, but the case where the number of positive material weight change sub-slopes and negative material weight change sub-slopes is the same is not considered.

[0094] The average feed intake of suspected grouped livestock and poultry during each group feeding monitoring period was calculated to obtain the comparative feed intake.

[0095] It should be noted that, in the context of judging the feeding matching degree in precision livestock and poultry farming, a decrease in feed intake refers to the phenomenon that the total amount of feed actually ingested by an individual livestock or poultry during a certain monitoring period is lower than the normal feed intake range for its growth stage, or lower than the individual's own historical stable feed intake level (each growth stage of livestock and poultry has a clear group feed intake standard (determined by breed and physiological characteristics). For example, the average daily normal feed intake of mid-finishing pigs is 2.0-2.5 kg. If an individual's average daily feed intake is only 1.5 kg for two consecutive monitoring periods, it is judged as a decrease in feed intake). Therefore, the comparison feed intake refers to the average feed intake of suspected grouped livestock and poultry during the group feeding monitoring period.

[0096] The feed intake of suspected non-group livestock and poultry in each group feeding monitoring period was compared with the comparison feed intake. The group feeding monitoring periods with feed intake less than the comparison feed intake were extracted and the number of these periods was counted. The proportion of these periods to the total number of group feeding monitoring periods was obtained to obtain the feed intake decrease analysis value.

[0097] The sum of the analysis values ​​for increased feed conversion ratio and decreased feed intake is used to obtain the mismatched management value.

[0098] Understandably, the "Mismatch to be Managed Value" represents a quantitative indicator that comprehensively considers various abnormalities in the feeding and growth of suspected non-herd livestock and poultry. By integrating information from two key dimensions—increased feed conversion ratio and decreased feed intake—it reflects the degree of mismatch between the current feeding program and the individual livestock and poultry's nutritional needs and growth status. Specifically, a larger "Mismatch to be Managed Value" indicates a larger proportion of monitoring periods showing an upward trend in feed conversion ratio and a larger proportion of monitoring periods showing a downward trend in feed intake, meaning a greater degree of mismatch between the current feeding program and the individual livestock and poultry's growth status. Conversely, a smaller "Mismatch to be Managed Value" indicates a smaller proportion of monitoring periods showing an upward trend in feed conversion ratio and a smaller proportion of monitoring periods showing a downward trend in feed intake, meaning a smaller degree of mismatch between the current feeding program and the individual livestock and poultry's growth status.

[0099] If the non-matching management value is greater than or equal to the non-matching management threshold, it indicates that the monitoring period showing an upward trend in the feed conversion ratio of livestock and poultry accounts for a large proportion, and the monitoring period showing a downward trend in feed intake accounts for a large proportion. In other words, the mismatch between the current feeding program and the growth status of individual livestock and poultry is large, and suspected non-group livestock and poultry are marked as non-matching management livestock and poultry.

[0100] If the non-matching management value is less than the non-matching management threshold, it means that the proportion of monitoring periods showing an upward trend in the feed conversion ratio of livestock and poultry is small, and the proportion of monitoring periods showing a downward trend in feed intake is small. In other words, the mismatch between the current feeding program and the growth status of individual livestock and poultry is small. Suspected non-group livestock and poultry will be remarked as suspected group livestock and poultry, and the feeding habits of suspected matched livestock and poultry will be continuously monitored.

[0101] The specific scheme of this embodiment is as follows: Feeding habits of individual livestock and poultry in each group-housed pen are monitored to screen out suspected non-group livestock and poultry. Since changes in feeding habits are often an early signal of health problems in livestock and poultry, screening out suspected non-group livestock and poultry helps farmers to promptly detect potential health problems, such as infectious diseases and digestive system disorders, preventing the spread of diseases within the group and reducing morbidity and mortality rates. Furthermore, it can identify individuals whose feeding and weight gain trends are inconsistent with the group. Further analysis of the feeding habits of suspected non-group livestock and poultry is conducted to determine unsuitable livestock and poultry to be managed. Based on their specific increases in feed conversion ratio and decreases in feed intake, individuals with similar feeding habits are regrouped to form a group-housed livestock and poultry pen, and a targeted feeding plan is developed for this pen.

[0102] Example 3

[0103] like Figure 1 - Figure 2 As shown, this embodiment provides a method for precision livestock and poultry farming management based on data acquisition, which also includes:

[0104] Step 4: Conduct a similarity analysis on the feeding habits of each mismatched livestock and poultry to be managed, and implement group farming management for mismatched livestock and poultry with similar feeding habits;

[0105] In some embodiments, two unmatched livestock and poultry are arbitrarily selected and combined into an unmatched management group. The single feed intake of each unmatched livestock and poultry during the group feeding monitoring period is extracted. Based on the single feed intake during the same group feeding monitoring period, the feed intake is substituted into the Euclidean distance formula to obtain the feed intake similarity analysis value.

[0106] If the feed intake similarity analysis value is less than or equal to the feed intake similarity analysis threshold, then the unmatched livestock and poultry in the unmatched management group will be raised together.

[0107] If the feed intake similarity analysis value is greater than the feed intake similarity analysis threshold, the non-matched livestock and poultry in the non-matched management group will not be grouped together for breeding, and will be regrouped with the remaining non-matched livestock and poultry for feed intake similarity analysis to be performed again.

[0108] The specific solution in this embodiment is as follows: A similarity analysis is performed on the feeding habits of each mismatched livestock and poultry to be managed. Mismatched livestock and poultry with similar feeding habits are then grouped together for breeding management. This grouping allows breeders to observe the feeding behavior of these livestock and poultry more closely, promptly manage livestock and poultry with potential health problems, and relatively isolate them from other healthy livestock and poultry groups, preventing the spread of diseases in a larger group, reducing morbidity and mortality rates, and ensuring the overall health of the breeding population. Furthermore, livestock and poultry at different growth stages and in different health conditions have different needs regarding feed nutrition and feeding frequency. By grouping mismatched livestock and poultry with similar feeding habits, more precise and targeted feeding plans can be developed based on the specific needs of the group, such as growth stage and health condition.

[0109] Example 3

[0110] Please see Figure 3 As shown, this embodiment also provides a precision livestock and poultry farming management system based on data acquisition, including the following modules:

[0111] Group farming identification module: The weight of individual livestock and poultry is monitored during each monitoring period of the livestock and poultry farming within the set monitoring cycle. It identifies whether individual livestock and poultry in the group show growth differentiation. If so, individual livestock and poultry in the same growth stage are grouped together for farming, resulting in multiple group farming pens.

[0112] Group feeding monitoring module: Monitors the feeding habits of individual livestock and poultry in each group-housed livestock and poultry pen, and screens out suspected non-group livestock and poultry;

[0113] Non-Matching and Management Analysis Module: Based on the feeding habits of suspected non-group livestock and poultry, identify non-matching livestock and poultry to be managed;

[0114] Group farming management module: Performs similarity analysis on the feeding habits of each unmatched livestock and poultry to be managed, and performs group farming management on unmatched livestock and poultry with similar feeding habits.

[0115] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for precision livestock and poultry farming management based on data collection, characterized in that: include: The weight of individual livestock and poultry is monitored during each monitoring period of the livestock and poultry breeding cycle. This identifies whether growth differentiation occurs among individual livestock and poultry in the livestock and poultry group. If it does, individual livestock and poultry at the same growth stage are grouped together for breeding, resulting in multiple group-raised livestock and poultry pens. The feeding habits of individual livestock and poultry in each group-raised livestock and poultry pen were monitored to screen out suspected non-group livestock and poultry. The process of monitoring the feeding habits of individual livestock and poultry in each group-raised livestock and poultry pen is as follows: Set a group feeding monitoring cycle and divide it equally to obtain several group feeding monitoring periods. Randomly select individual livestock and poultry in the group feeding pen as feeding analysis livestock and poultry, and obtain the single feeding amount of the feeding analysis livestock and poultry in each group feeding monitoring period. The weight gain and feed intake growth of livestock and poultry in each group feeding monitoring period are obtained. Within the same group feeding monitoring period, the weight gain and feed intake growth are compared by sign. If the weight gain and feed intake growth have the same sign, the group feeding monitoring period is designated as the group feeding matching period. The proportion of the number of group feeding matching periods to the total number of group feeding monitoring periods was statistically analyzed to obtain the growth trend matching value; The ratio of feed intake growth to body weight gain during the group feeding matching period is calculated to obtain the growth rate analysis value; The standard deviation of all growth rate analysis values ​​is calculated to obtain the growth rate matching value; The screening process for suspected non-herd livestock and poultry is as follows: The ratio of the growth trend matching value to the growth degree matching value is calculated to obtain the livestock and poultry matching analysis value. If the livestock and poultry matching analysis value is less than or equal to the livestock and poultry matching analysis threshold, the livestock and poultry that consume the feed are marked as suspected non-herd livestock and poultry. Based on the analysis of the feeding habits of suspected non-herd livestock and poultry, unsuitable livestock and poultry to be managed were identified. A similarity analysis was conducted on the feeding habits of each mismatched livestock and poultry to be managed, and the mismatched livestock and poultry with similar feeding habits were grouped together for breeding management.

2. The method for precision livestock and poultry farming management based on data acquisition according to claim 1, characterized in that: The process for identifying whether individual livestock or poultry exhibit growth differentiation within a herd is as follows: The weight of each individual livestock and poultry during the livestock and poultry breeding monitoring period is obtained as the livestock and poultry weight for a single time period. The standard deviation of the weight of each individual animal and poultry in a single time period is calculated to obtain the animal and poultry growth identification value. If the livestock and poultry growth identification value is greater than the livestock and poultry growth identification threshold, it will be displayed as a breeding growth differentiation signal and marked as the target livestock and poultry.

3. The method for precision livestock and poultry farming management based on data acquisition according to claim 2, characterized in that: The process of obtaining pens for group-raised livestock and poultry is as follows: Any two target livestock and poultry are combined into a livestock and poultry breeding group. Within the livestock and poultry breeding group, the single-time weight of the target livestock and poultry in each livestock and poultry breeding monitoring period is extracted. Based on the single-time weight of the livestock and poultry in the same livestock and poultry breeding monitoring period, it is substituted into the Euclidean distance formula to obtain the weight analysis value of the same growth segment. If the weight analysis value of the same birth segment is less than or equal to the weight analysis threshold of the same birth segment, then the livestock and poultry waiting to be raised together will be regarded as a group-raised livestock and poultry pen.

4. The method for precision livestock and poultry farming management based on data acquisition according to claim 1, characterized in that: The process for obtaining weight gain and feed intake gain is as follows: The weight gain is calculated by subtracting the weights of livestock and poultry in adjacent feeding monitoring periods and then comparing it with the weights of livestock and poultry in the preceding feeding monitoring period in the time dimension. The feed intake growth is calculated by subtracting the feed intake of livestock and poultry in adjacent group feeding monitoring periods and then comparing it with the feed intake of livestock and poultry in the preceding group feeding monitoring period in the time dimension.

5. The method for precision livestock and poultry farming management based on data acquisition according to claim 1, characterized in that: The process of analyzing the feeding habits of suspected non-herd livestock and poultry is as follows: Extract the feeding monitoring periods of suspected non-group livestock and poultry within the group feeding monitoring cycle. Calculate the ratio of feed intake to weight gain within the group feeding monitoring period to obtain the feed conversion ratio (FCR) for each period, and construct a FCR change curve. The curve between two adjacent coordinate points on the material weight ratio change curve is taken as the material weight ratio change sub-curve. The slope of each material weight ratio change sub-curve is obtained by using the slope calculation formula. The number of material weight ratio change sub-curves with a positive slope is extracted and the ratio is calculated with the total number of material weight ratio change sub-curves to obtain the material weight ratio increase analysis value. The average feed intake of suspected grouped livestock and poultry during each group feeding monitoring period was calculated to obtain the comparative feed intake. The feed intake of suspected non-group livestock and poultry in each group feeding monitoring period was compared with the comparison feed intake. The group feeding monitoring periods with feed intake less than the comparison feed intake were extracted, and the number of these periods was counted. The proportion of these periods to the total number of group feeding monitoring periods was used to obtain the feed intake decrease analysis value.

6. The method for precision livestock and poultry farming management based on data acquisition according to claim 5, characterized in that: The screening process for unmatched livestock and poultry to be managed is as follows: The analysis values ​​of increased feed conversion ratio and decreased feed intake are summed to obtain the non-matching management value. If the non-matching management value is greater than or equal to the non-matching management threshold, the suspected non-group livestock and poultry are marked as non-matching management livestock and poultry.

7. The method for precision livestock and poultry farming management based on data acquisition according to claim 1, characterized in that: The process of performing a similarity analysis on the feeding habits of each non-matching livestock and poultry to be managed is as follows: Two unmatched livestock and poultry under management are randomly selected and combined into an unmatched management group. The single feed intake of each unmatched livestock and poultry under management is extracted during the group feeding monitoring period. Based on the single feed intake during the same group feeding monitoring period, the feed intake is substituted into the Euclidean distance formula to obtain the feed intake similarity analysis value. If the feed intake similarity analysis value is less than or equal to the feed intake similarity analysis threshold, then the non-matched livestock and poultry in the non-matched management group will be raised together.

8. A precision livestock and poultry farming management system based on data acquisition, characterized in that: include: Group farming identification module: The weight of individual livestock and poultry is monitored during each monitoring period of the livestock and poultry farming within the set monitoring cycle. It identifies whether individual livestock and poultry in the group show growth differentiation. If so, individual livestock and poultry in the same growth stage are grouped together for farming, resulting in multiple group farming pens. The feeding habits of individual livestock and poultry in each group-raised livestock and poultry pen were monitored to screen out suspected non-group livestock and poultry. The process of monitoring the feeding habits of individual livestock and poultry in each group-raised livestock and poultry pen is as follows: Set a group feeding monitoring cycle and divide it equally to obtain several group feeding monitoring periods. Randomly select individual livestock and poultry in the group feeding pen as feeding analysis livestock and poultry, and obtain the single feeding amount of the feeding analysis livestock and poultry in each group feeding monitoring period. The weight gain and feed intake growth of livestock and poultry in each group feeding monitoring period are obtained. Within the same group feeding monitoring period, the weight gain and feed intake growth are compared by sign. If the weight gain and feed intake growth have the same sign, the group feeding monitoring period is designated as the group feeding matching period. The proportion of the number of group feeding matching periods to the total number of group feeding monitoring periods was statistically analyzed to obtain the growth trend matching value; The ratio of feed intake growth to body weight gain during the group feeding matching period is calculated to obtain the growth rate analysis value; The standard deviation of all growth rate analysis values ​​is calculated to obtain the growth rate matching value; The screening process for suspected non-herd livestock and poultry is as follows: The ratio of the growth trend matching value to the growth degree matching value is calculated to obtain the livestock and poultry matching analysis value. If the livestock and poultry matching analysis value is less than or equal to the livestock and poultry matching analysis threshold, the livestock and poultry that consume the feed are marked as suspected non-herd livestock and poultry. Based on the analysis of the feeding habits of suspected non-herd livestock and poultry, unsuitable livestock and poultry to be managed were identified. A similarity analysis was conducted on the feeding habits of each mismatched livestock and poultry to be managed, and the mismatched livestock and poultry with similar feeding habits were grouped together for breeding management.

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