Poultry refined feed nutrition proportion management system

Abstract

The invention discloses a poultry refined feed nutrition proportion management system, and relates to the technical field of breeding management. The system comprises a feed pre-mixing unit used for preparing a plurality of feed formulas with preset nutrition ratios; the sampling inspection analysis unit is used for dividing the sample egg fowls into a plurality of egg fowl feature groups according to the parameter values of the plurality of types of physical characteristics of the sample egg fowls, and acquiring the parameter value range of each physical characteristic of the egg fowls in each egg fowl feature group; the laying fowls in each laying fowl characteristic group are fed in groups until slaughtering, and a feed formula suitable for the laying fowls in each laying fowl characteristic group is obtained through detection and analysis; the feeding management unit is used for setting a feeding area for each feed formula; the in-fence sorting unit is used for obtaining a feed formula suitable for each target laying fowl; and distributing the target laying fowls to the corresponding feeding areas according to the feed formula of the target laying fowls. According to the method, the marketing egg yield of the laying fowls is increased, and the breeding egg-feed ratio is increased.

Description

Technical Field

[0001] The invention belongs to the technical field of egg-laying poultry breeding management, and in particular relates to a poultry refined feed nutrient ratio management system. Background Art

[0002] Egg-laying poultry refers to poultry specifically used to produce edible eggs, mainly including egg-laying breeds or types of poultry such as chickens, ducks, geese, and quails. The egg-laying poultry industry is an important part of agriculture and is closely related to human daily life. With the development of modern animal husbandry, the scale and intensive trend of egg-laying poultry breeding is becoming increasingly prominent, and scientific feed nutrition management plays a key role in the egg-laying performance of egg-laying poultry. However, traditional feed nutrition ratio management methods usually rely on experience and manual decision-making, and lack of refined analysis of egg-laying poultry with different physical characteristics, which can easily lead to low egg-laying efficiency per unit feed, increased production costs, and decreased egg-laying benefits of poultry. Summary of the invention

[0003] The purpose of the present invention is to provide a poultry refined feed nutrient ratio management system, which improves the egg production of laying fowls and the egg-feed ratio of breeding by analyzing and comparing the egg production of sample laying fowls after consuming different feed formulas.

[0004] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention provides a poultry refined feed nutrient ratio management system, comprising:

[0006] Feed premixing unit, used to configure feed formulas with multiple preset nutritional ratios;

[0007] The sampling and analysis unit is used to randomly select sample laying birds and obtain parameter values ​​of multiple types of physical characteristics of the sample laying birds when they enter the pen;

[0008] Dividing the sample laying poultry into a plurality of laying poultry characteristic groups according to the parameter values ​​of the physical characteristics of a plurality of types of the sample laying poultry, and obtaining the parameter value range of each physical characteristic of the laying poultry in each laying poultry characteristic group;

[0009] The laying birds in each laying bird characteristic group are grouped and fed until they are ready for market, and the feed formula suitable for the laying birds in each laying bird characteristic group is obtained through testing and analysis;

[0010] Feeding management unit, used to set feeding areas for each feed formula;

[0011] The entry and sorting unit obtains parameter values ​​of physical characteristics of multiple types of target egg-laying poultry for the target egg-laying poultry that is in a state to be grouped when entering the pen;

[0012] Obtaining a feed formula suitable for the target laying fowl according to the parameter values ​​of the physical characteristics of multiple types of target laying fowl and the parameter value range of each physical characteristic of the laying fowl in each laying fowl characteristic group;

[0013] The target laying fowl is distributed to the corresponding feeding area according to the feed formula of the target laying fowl.

[0014] The present invention uses a sampling analysis unit to analyze the egg production of sample laying birds after consuming various feed formulas, thereby obtaining a feeding formula suitable for laying birds with different physical characteristics, and selects a suitable feeding area for each newly-entered laying bird through a pen sorting unit. This solution effectively increases the egg production of laying birds and improves the egg-feed ratio of feed.

[0015] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 This is a schematic diagram of functional units and information flows of a poultry refined feed nutrient ratio management system in one embodiment of the present invention;

[0018] Figure 2 It is a schematic diagram of the steps of the sampling and analysis unit and the entry and sorting unit in one embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of a step flow chart of step S22 in an embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of a step flow chart of step S224 of an embodiment of the present invention;

[0021] Figure 5 This is a schematic diagram of a step flow chart of step S2243 in an embodiment of the present invention;

[0022] Figure 6 is a schematic diagram of a step flow chart of step S2244 in an embodiment of the present invention;

[0023] Figure 7 is a schematic diagram of a step flow chart of step S23 in an embodiment of the present invention;

[0024] Figure 8 The step flow diagram of step S42 in one embodiment of the present invention is as follows: Figure 1 ;

[0025] Fig. 9 The step flow diagram of step S42 in one embodiment of the present invention is as follows: Figure 2 ;

[0026] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0027] 1-Feed premixing unit, 2-Sampling and analysis unit, 3-Feeding management unit, 4-Pen sorting unit. DETAILED DESCRIPTION

[0028] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0029] It should be noted that the terms "first", "second", etc. in this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0030] The nutritional ratio of refined poultry feed is the key to ensure the healthy growth and high yield of poultry. The energy in poultry feeding mainly comes from grains (such as corn and wheat) and fats (such as vegetable oils and animal fats). The energy requirements of different growth stages and varieties are different and need to be adjusted according to specific circumstances. Protein comes from soybean meal, fish meal, meat and bone meal, etc. Young poultry and laying poultry have a higher demand for protein and need to ensure sufficient high-quality protein. Minerals include macroelements: calcium, phosphorus, sodium, chlorine, etc., and trace elements: iron, zinc, copper, manganese, selenium, iodine, etc. Calcium and phosphorus are essential for the formation of bones and eggshells, and special attention should be paid to the ratio. Vitamins include fat-soluble vitamins: A, D, E, K, and water-soluble vitamins: B vitamins and vitamin C. Vitamins play an important role in the immune system, growth and reproduction and need to be added in appropriate amounts. Additives include enzyme preparations, antioxidants, and probiotics, which are used to improve feed utilization, prevent feed oxidation and deterioration, and improve intestinal health.

[0031] The feed adjustment during poultry breeding can be adjusted according to the different nutritional requirements of different breeds. It can also be adjusted in time according to environmental factors such as temperature and humidity that affect the nutritional requirements of poultry. Especially for poultry in the egg-laying period, targeted adjustments should be made.

[0032] See also Figures 1 to 2As shown, the present invention provides a refined poultry feed nutrient ratio management system, including a feed premixing unit 1, a sampling and analysis unit 2, a feeding management unit 3 and a pen sorting unit 4. Feed premixing is a key link in feed production, which is mainly used to mix a variety of raw materials in proportion to ensure uniform feed composition. The feed premixing unit 1 in this scheme can be a virtual functional unit, which refers to the feed formula obtained by scientific proportioning by professional nutrition staff according to the egg-laying poultry breeding guide. The sampling and analysis unit 2 is used to extract sample egg-laying poultry and conduct on-site feeding analysis on each feed formula, the feeding management unit 3 is used to shape the feeding environment using different feed formulas, and the pen sorting unit 4 is used to sort each batch of newly entered egg-laying poultry into a suitable feeding environment, thereby effectively increasing the egg production of egg-laying poultry.

[0033] When the system is running, the feed premixing unit 1 first needs to execute step S11 to configure a plurality of feed formulas with preset nutritional ratios, wherein the types of nutrients include protein, carbohydrates, fat, vitamin B group, vitamin A, vitamin D, calcium and phosphorus. The feed ratio of laying poultry needs to be balanced, and the key nutrients include: energy feed, corn, wheat. Protein feed, soybean meal, fish meal. Minerals and vitamins, calcium, phosphorus, vitamin A, D, etc. Add calcium feed (such as stone powder, shell powder) to promote eggshell formation. Environmental conditions such as temperature, humidity, ventilation, and light directly affect the egg-laying performance of laying poultry. Lighting 16 hours of light per day can maintain a high egg production rate. Too high temperature can cause heat stress, and too low temperature can reduce feed intake. When raising laying poultry, the feed weight of each laying poultry can be kept the same under different feeding environments, and only the nutritional ratio is different.

[0034] See also Figures 1 to 3 As shown, the sampling and analysis unit 2 then executes step S21 to randomly select sample laying poultry, and obtains parameter values ​​of multiple types of physical characteristics of the sample laying poultry when entering the pen. The laying poultry in this scheme can be chickens, ducks, geese and other laying poultry suitable for centralized breeding. Among them, the types of physical characteristics include weight, body length, height and beak length. Physical characteristics such as feather light chromaticity can also be considered, which can also reflect the development status of laying poultry. Next, step S22 can be executed to divide the sample laying poultry into multiple laying poultry feature groups according to the parameter values ​​of multiple types of physical characteristics of the sample laying poultry, and obtain the parameter value range of each physical characteristic of the laying poultry in each laying poultry feature group.

[0035] Specifically, step S221 can be performed first to set the importance coefficient for the physical characteristics of each type. For example, for egg-laying poultry breeding, the most important physical characteristic is weight, height and height are slightly inferior, and beak length is the third. Next, step S222 can be performed to sort each sample egg-laying poultry according to the weight when entering the pen and extract several of them at even intervals as reference sample egg-laying poultry. Next, step S223 can be performed to adjust the parameter value of each type of physical characteristics of each sample egg-laying poultry according to the importance coefficient of each type of physical characteristics to obtain the adjustment parameter value of each type of physical characteristics of each sample egg-laying poultry. Next, step S224 can be performed to divide the sample egg-laying poultry into multiple egg-laying poultry feature groups according to the difference of the adjustment parameter value of each type of physical characteristics between the reference sample egg-laying poultry and each other sample egg-laying poultry. Finally, step S225 can be performed for each egg-laying poultry feature group, and the range of parameter values ​​of all sample egg-laying poultry contained therein on each type of physical characteristics is statistically obtained as the parameter value range of each physical characteristic of the egg-laying poultry in the egg-laying poultry feature group. Through the above method, many laying birds are grouped according to their physical characteristics, that is, multiple sample laying birds with the same or similar physical characteristics are classified into the same laying bird characteristic group to facilitate subsequent analysis.

[0036] See also Figures 4 to 6 As shown, in the process of grouping sample egg-laying birds according to their physical characteristics, the weight among the many physical characteristics can be considered first. Therefore, in the process of grouping, step S2241 can be first executed to calculate the cumulative sum of the difference between the adjustment parameter values ​​of each type of physical characteristics of each reference sample egg-laying bird and each other sample egg-laying bird as the characteristic difference between each reference sample egg-laying bird and each other sample egg-laying bird. Next, step S2242 can be executed to classify each other sample egg-laying bird and the reference sample egg-laying bird with the smallest characteristic difference into the same egg-laying bird characteristic group.

[0037] However, at this time, since the selection of reference sample egg-laying poultry is based only on a single reference dimension of weight, the sample egg-laying poultry contained in the same egg-laying poultry feature group may not be consistent, so step S2243 can be executed next to determine whether the sample egg-laying poultry contained in each egg-laying poultry feature group after division is consistent. Specifically, step S22431 can be executed first for each egg-laying poultry feature group, and the mean of the adjustment parameter values ​​of each type of physical characteristics of all sample egg-laying poultry contained in the egg-laying poultry feature group is calculated as the mean adjustment parameter value of each type of physical characteristics of the egg-laying poultry feature group. Next, step S22432 can be executed to calculate the characteristic difference between the adjustment parameter values ​​of each type of physical characteristics of each sample egg-laying poultry contained in the egg-laying poultry feature group and the mean adjustment parameter value of each type of physical characteristics of the egg-laying poultry feature group. Next, step S22433 can be executed to determine whether the sample egg-laying poultry corresponding to the smallest characteristic difference is the reference sample egg-laying poultry. If so, then step S22434 may be executed to determine that the sample eggs and poultry included in the egg-laying poultry feature group are consistent. If not, then step S22435 may be executed to determine that the sample eggs and poultry included in the egg-laying poultry feature group are not consistent.

[0038] If there is consistency in the above judgment, then step S2244 can be executed next to obtain multiple egg-laying poultry feature groups. If there is no consistency, then step S2245 can be executed next to re-divide the egg-laying poultry feature group and determine whether the sample egg-laying poultry contained therein is consistent. Specifically, step S22451 can be executed first for each egg-laying poultry feature group, and the sample egg-laying poultry corresponding to the smallest numerical feature difference is used as the updated reference sample egg-laying poultry. Then step S22452 can be executed to divide each other sample egg-laying poultry and the updated reference sample egg-laying poultry with the smallest feature difference into the same egg-laying poultry feature group to obtain the re-divided egg-laying poultry feature group.

[0039] In order to supplement the implementation process of the above steps S2241 to S2245, the source code of some functional modules is provided, and the explanation is made in the comment section. In order to avoid the leakage of data involving commercial secrets, some data that does not affect the implementation of the solution are desensitized, the same below.

[0040]

[0041]

[0042]

[0043]

[0044]

[0045]

[0046] The above code first calculates the feature difference, calculates the feature difference between each sample and the reference sample, and divides them into the closest reference group. Then, consistency verification is performed. Each group is judged for consistency by calculating the difference between the mean and the sample closest to the mean. Next, dynamic adjustment is performed to update the reference sample of the inconsistent group to the sample closest to the mean in the group and re-divide it. Finally, the grouping results are output, and the grouping and feature mean are output after all groups reach consistency. This method is suitable for scenarios that require high-precision classification, such as feature optimization classification in egg poultry breeding management.

[0047] Please continue reading Figure 1 , 2 As shown in Figure 7, after dividing the egg-laying poultry feature groups and obtaining the parameter value range of the corresponding physical characteristics, step S23 can be executed next to group the egg-laying poultry in each egg-laying poultry feature group and feed them until they are ready for delivery, and the feed formula suitable for the egg-laying poultry in each egg-laying poultry feature group can be obtained by detection and analysis. Specifically, step S231 can be executed first to randomly group the egg-laying poultry in each egg-laying poultry feature group according to the number of feed formulas to obtain multiple egg-laying poultry sample groups corresponding to each egg-laying poultry feature group. Next, step S232 can be executed to feed the multiple egg-laying poultry sample groups corresponding to each egg-laying poultry feature group according to different feed formulas until they are ready for delivery, and the average egg production of the sample egg-laying poultry in each egg-laying poultry sample group can be detected and obtained. Finally, step S233 can be executed for each egg-laying poultry feature group, and the feed formula suitable for the egg-laying poultry sample group corresponding to the maximum average egg production of the ready for delivery is selected from the multiple egg-laying poultry sample groups corresponding to it as the feed formula suitable for the egg-laying poultry in the egg-laying poultry feature group.

[0048] Please continue reading Figure 1 and 2 As shown, after the sampling and analysis unit 2 completes the test and analysis of the sample laying poultry, the feeding management unit 3 executes step S31 to set a feeding area for each feed formula. Then, the entry and sorting unit 4 executes step S41 to obtain the parameter values ​​of the physical characteristics of multiple types of target laying poultry for the target laying poultry that is in a state to be grouped when entering the pen.

[0049] See also Figure 1 , 2 As shown in , 8 and 9, when each batch of laying poultry is newly put into the pen, it is necessary to select a corresponding feeding environment according to the physical characteristics of the target laying poultry to achieve the technical effect of improving the egg-feed ratio. Therefore, step S42 can be executed next to obtain a feed formula suitable for the target laying poultry according to the parameter values ​​of the physical characteristics of multiple types of target laying poultry and the parameter value range of each physical characteristic of the laying poultry in each laying poultry characteristic group, and step S43 can be executed to allocate the target laying poultry to the corresponding feeding area according to the feed formula of the target laying poultry.

[0050] When selecting a suitable feed formula for each target laying poultry, firstly, step S421 can be executed to determine whether the parameter values ​​of the physical characteristics of each type of the target laying poultry all fall within the parameter value range of each physical characteristic of the laying poultry in any laying poultry characteristic group. If so, then step S422 can be executed to use the feed formula suitable for the laying poultry in the laying poultry characteristic group as the feed formula suitable for the target laying poultry.

[0051] However, there may also be a special physique of the target egg-laying poultry, which does not belong to any of the egg-laying poultry feature groups in the previous analysis of the sample egg-laying poultry, but the parameter values ​​of the physical characteristics of some types still overlap, so that the importance of different physical characteristics can be combined for attribution and division, that is, when the above judgment is no, step S423 can be performed next to match the parameter value of the physical characteristics of each type of the target egg-laying poultry with the parameter value range of each physical characteristic of the egg-laying poultry in each egg-laying poultry feature group to obtain the type of physical characteristics that the target egg-laying poultry matches with each egg-laying poultry feature group parameter range. Next, step S424 can be performed to set the importance coefficient of the physical characteristics of each type of the target egg-laying poultry to accumulate and obtain the matching degree coefficient of the target egg-laying poultry with each egg-laying poultry feature group. Finally, step S425 can be performed to use the feed formula applicable to the egg-laying poultry in the egg-laying poultry feature group corresponding to the maximum value of the matching degree coefficient as the feed formula applicable to the target egg-laying poultry.

[0052] In order to provide additional explanation for the implementation process of the above-mentioned steps S421 to S425, source codes of some functional modules are provided, and comparative explanations are provided in the comment section.

[0053]

[0054]

[0055]

[0056]

[0057]

[0058] During the operation of the above code, the feature range matching is first performed. By checking whether the feature values ​​of the target laying poultry completely fall into the feature range of each feature group one by one, it is determined whether there is a directly applicable feed formula. After that, importance-weighted matching is performed. For cases where the matching is not complete, the number of features that match consistently is calculated one by one, and the matching degree coefficient is obtained by combining the importance coefficient of the feature. Finally, the best feed is selected, and the feed formula of the feature group with the largest matching degree coefficient is finally selected as the best feed for the target laying poultry. This algorithm ensures the efficiency and rationality of feed distribution while taking into account accuracy and flexibility through direct matching of feature ranges and importance-weighted optimization.

[0059] See also Figures 1 to 9 As shown, when the feed premixing unit changes the quantity and / or preset nutritional ratio of the feed formula, the sampling and analysis unit re-analyzes and generates the parameter value range of each physical characteristic of the laying fowls in each laying fowl characteristic group, as well as the feed formula suitable for the laying fowls in each laying fowl characteristic group.

[0060] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the device, system, method and computer program product according to multiple embodiments of the present application. In this regard, each square frame in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the logical function of the specification. In some alternative implementations, the functions marked in the square frame can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square frames can actually be executed substantially in parallel, and they can also be executed in reverse order sometimes, depending on the functions involved.

[0061] It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented by hardware that performs the corresponding function or action, such as a circuit or ASIC (Application Specific Integrated Circuit), or can be implemented by a combination of hardware and software, such as firmware.

[0062] Although the present invention is described herein in conjunction with various embodiments, in the process of implementing the claimed invention, those skilled in the art may understand and implement other variations of the disclosed embodiments by viewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "one" or "an" does not exclude multiple situations. A single processor or other unit may implement several functions listed in the claims. Certain measures are recorded in different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0063] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those of ordinary skill in the art without departing from the scope of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A poultry refined feed nutrient ratio management system, characterized in that: include, Feed premixing unit, used to configure feed formulas with multiple preset nutritional ratios; The sampling and analysis unit is used to randomly select sample laying birds and obtain parameter values ​​of multiple types of physical characteristics of the sample laying birds when they enter the pen; Dividing the sample laying poultry into a plurality of laying poultry characteristic groups according to the parameter values ​​of the physical characteristics of a plurality of types of the sample laying poultry, and obtaining the parameter value range of each physical characteristic of the laying poultry in each laying poultry characteristic group; The laying birds in each laying bird characteristic group are grouped and fed until they are ready for market, and the feed formula suitable for the laying birds in each laying bird characteristic group is obtained through testing and analysis; Feeding management unit, used to set feeding areas for each feed formula; The entry and sorting unit obtains parameter values ​​of physical characteristics of multiple types of target egg-laying poultry for the target egg-laying poultry that is in a state to be grouped when entering the pen; Obtaining a feed formula suitable for the target laying fowl according to the parameter values ​​of the physical characteristics of multiple types of target laying fowl and the parameter value range of each physical characteristic of the laying fowl in each laying fowl characteristic group; The target laying fowl is distributed to the corresponding feeding area according to the feed formula of the target laying fowl.

2. The system according to claim 1, characterized in that The types of physical characteristics include weight, body length, height and / or beak length; The types of nutrients include protein, carbohydrate, fat, B vitamins, vitamin A, vitamin D, calcium and / or phosphorus.

3. The system according to claim 1, characterized in that The step of dividing the sample laying poultry into a plurality of laying poultry feature groups according to the parameter values ​​of the physical characteristics of a plurality of types of the sample laying poultry, and obtaining the parameter value range of each physical characteristic of the laying poultry in each laying poultry feature group, include, Set importance coefficients for each species' physical characteristics; Sort each sample laying bird according to its weight when it enters the pen and select several laying birds at even intervals as reference sample laying birds; According to the importance coefficient of the physical characteristics of each type, the parameter value of the physical characteristics of each type of each sample egg-laying bird is adjusted to obtain the adjusted parameter value of the physical characteristics of each type of each sample egg-laying bird; The sample laying birds are divided into a plurality of laying bird characteristic groups according to the difference in the adjustment parameter value of each type of physical characteristic between the reference sample laying birds and each other sample laying birds; For each laying fowl characteristic group, the parameter value ranges of each type of physical characteristics of all sample laying fowls contained therein are statistically obtained as the parameter value range of each physical characteristic of the laying fowls in the laying fowl characteristic group.

4. The system according to claim 3, characterized in that The step of dividing the sample laying birds into a plurality of laying bird characteristic groups according to the difference in the adjustment parameter value of each type of physical characteristics between the reference sample laying birds and each other sample laying birds comprises: Calculate the cumulative sum of the differences in the adjusted parameter values ​​of each type of physical characteristics between each reference sample laying bird and each other sample laying bird as the characteristic difference between each reference sample laying bird and each other sample laying bird; Classify each other sample laying fowl and the reference sample laying fowl with the smallest difference in the characteristic into the same laying fowl characteristic group; Determining whether the sample egg-laying poultry included in each of the divided egg-laying poultry feature groups are consistent; If yes, multiple egg-laying poultry feature groups are obtained; If not, the egg-laying poultry feature groups are re-divided, and it is determined whether the sample egg-laying poultry contained therein are consistent.

5. The system according to claim 4, characterized in that The step of judging whether the sample eggs and poultry contained in each of the divided egg-laying poultry feature groups are consistent comprises: For each of the egg-laying poultry feature groups, the mean of the adjustment parameter values ​​of each type of physical characteristics of all sample egg-laying poultry included in the egg-laying poultry feature group is calculated as the mean adjustment parameter value of each type of physical characteristics of the egg-laying poultry feature group; Calculate and obtain the characteristic difference between the adjustment parameter value of each type of physical characteristic of each sample laying fowl contained in the laying fowl characteristic group and the mean adjustment parameter value of each type of physical characteristic of the laying fowl characteristic group; Determine whether the sample egg-laying poultry corresponding to the characteristic difference with the smallest value is the reference sample egg-laying poultry; If yes, the sample egg-laying poultry included in the egg-laying poultry characteristic group is deemed to be consistent; If not, it is determined that the sample egg-laying poultry included in the egg-laying poultry characteristic group is not consistent.

6. The system according to claim 5, characterized in that The step of re-dividing the egg-laying poultry feature groups comprises: For each of the egg-laying poultry feature groups, the sample egg-laying poultry corresponding to the feature difference with the smallest value is used as the updated reference sample egg-laying poultry; Each other sample laying fowl is divided into the same laying fowl feature group with the updated reference sample laying fowl having the smallest difference in feature from the sample, so as to obtain the re-divided laying fowl feature group.

7. The system according to claim 1, characterized in that The step of grouping and feeding the laying poultry in each laying poultry characteristic group until the laying poultry is released, and detecting and analyzing to obtain a feed formula suitable for the laying poultry in each laying poultry characteristic group, include, The laying birds in each laying bird characteristic group are randomly grouped according to the number of feed formulas to obtain a plurality of laying bird sample groups corresponding to each laying bird characteristic group; The multiple egg-laying poultry sample groups corresponding to each egg-laying poultry characteristic group are respectively raised according to different feed formulas until they are ready for market, and the average egg production of the sample egg-laying poultry in each egg-laying poultry sample group is obtained by detection; For each laying poultry characteristic group, a feed formula suitable for the laying poultry sample group corresponding to the maximum average egg production output is selected from the corresponding multiple laying poultry sample groups as the feed formula suitable for the laying poultry in the laying poultry characteristic group.

8. The system according to claim 1, characterized in that The step of obtaining a feed formula suitable for the target laying fowl according to the parameter values ​​of the physical characteristics of multiple types of target laying fowl and the parameter value range of each physical characteristic of the laying fowl in each laying fowl characteristic group comprises: Determine whether the parameter values ​​of the physical characteristics of each type of target laying fowl all fall within the parameter value range of each physical characteristic of laying fowl in any laying fowl characteristic group; If so, the feed formula suitable for the laying poultry in the laying poultry characteristic group is used as the feed formula suitable for the target laying poultry.

9. The system according to claim 8, characterized in that The step of obtaining a feed formula suitable for the target laying fowl according to the parameter values ​​of the physical characteristics of multiple types of target laying fowl and the parameter value range of each physical characteristic of the laying fowl in each laying fowl characteristic group also includes: If not, then the parameter values ​​of the physical characteristics of each type of target laying poultry are matched with the parameter value range of each physical characteristic of laying poultry in each laying poultry characteristic group to obtain the types of physical characteristics of the target laying poultry that match the parameter range of each laying poultry characteristic group respectively; The types of physical characteristics of the target laying poultry that match the parameter range of each laying poultry characteristic group are accumulated according to the importance coefficient set for the physical characteristics of each type to obtain the matching degree coefficient between the target laying poultry and each laying poultry characteristic group; The feed formula suitable for laying fowls in the laying fowl characteristic group corresponding to the maximum value of the matching degree coefficient is used as the feed formula suitable for the target laying fowls.

10. The system according to claim 1, characterized in that Also includes, When the feed premixing unit changes the quantity and / or preset nutrient ratio of the feed formula, the sampling and analysis unit re-analyzes and generates the parameter value range of each physical characteristic of the laying fowls in each laying fowl characteristic group, as well as the feed formula suitable for the laying fowls in each laying fowl characteristic group.

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