A breeding evaluation system and method based on feeding amount

Abstract

The present application relates to the technical field of poultry breeding, and in particular to a breeding evaluation system and method based on feeding amount. The method comprises: obtaining and analyzing the breeding data of the laying hens to be evaluated, and determining the growth stage of the laying hens to be evaluated according to the data analysis results; obtaining environmental data and feeding data of the laying hens to be evaluated, and determining the developmental status of the laying hens to be evaluated according to the environmental data, growth stage and feeding data; obtaining and analyzing the egg-laying data of the laying hens to be evaluated, and determining the appearance characteristics of the eggs laid by the laying hens to be evaluated; and determining whether to continue the breeding of the laying hens to be evaluated according to the developmental status, appearance characteristics and feeding data. It ensures that more accurate decisions can be made when selecting seeds, and minimizes the possibility of eliminating excellent laying hens or cultivating inefficient laying hens due to misjudgment.

Description

Technical Field

[0001] The present application relates to the technical field of poultry breeding, and in particular to a breeding evaluation system and method based on feeding amount. Background Art

[0002] In order to improve the egg-laying performance of laying hens, optimize economic benefits and meet the market's growing demand for egg quality. With the growth of the global population and the increase in egg product consumption, the goal of breeding has gradually shifted from a single increase in egg production to multi-dimensional optimization, including the health of laying hens, feed conversion efficiency, disease resistance and egg quality. These goals require breeders to continuously improve breeding methods to improve overall production efficiency.

[0003] Existing breeding selection is mostly based on experience and manual breeding selection. This method has a certain time lag. With the development of science and technology, this method has gradually shown disadvantages. Low efficiency and high error rate are common problems. Summary of the invention

[0004] The present application provides a breeding evaluation system and method based on feeding amount to solve the above problems.

[0005] In a first aspect, the present application provides a breeding evaluation method based on feeding amount, comprising:

[0006] Obtaining and analyzing the breeding data of the laying hens to be evaluated, and determining the growth stage of the laying hens to be evaluated based on the data analysis results;

[0007] Acquiring environmental data and feeding data of the laying hen to be evaluated, and determining the developmental status of the laying hen to be evaluated according to the environmental data, the growth stage and the feeding data;

[0008] Acquire and analyze the egg-laying data of the laying hen to be evaluated, and determine the appearance characteristics of the eggs laid by the laying hen to be evaluated;

[0009] Determine whether to continue cultivating the laying hen to be evaluated based on the development status, the appearance characteristics and the feeding data.

[0010] Through this solution, automated data collection and intelligent analysis models, each growth stage, developmental status and egg production quality of laying hens are scientifically analyzed, ensuring that more accurate decisions can be made when selecting breeds, minimizing the possibility of eliminating excellent laying hens or cultivating inefficient laying hens due to misjudgment. Breeding decisions are no longer static judgments based on past experience, but a dynamic process based on real-time data. Ensure optimal resource allocation and avoid wasting resources on chickens with low production efficiency. Reduce breeding costs and improve breeding efficiency.

[0011] Optionally, determining whether to continue the cultivation of the laying hen to be evaluated according to the developmental status, the appearance characteristics and the feeding data includes:

[0012] Determine the current light intensity according to the environmental data;

[0013] Based on the current light intensity, acquiring multi-angle images of the laid eggs;

[0014] Analyzing the multi-angle images to determine the eggshell quality of the produced eggs;

[0015] Determine whether to continue breeding the laying hen to be evaluated based on the eggshell quality, the developmental status, the appearance characteristics and the feeding data.

[0016] Through this solution, image analysis technology can be used to accurately evaluate the appearance and quality of eggs, helping to identify high-quality laying hens. Comprehensive analysis of development, appearance and feeding data ensures comprehensive and accurate decision-making. Effectively optimize feed use and breeding strategies, reduce resource waste, and improve the overall production efficiency of laying hen groups. Dynamic judgments are made based on real-time and historical data to improve the accuracy of breeding selection. Automated decision-making reduces human intervention, improves breeding efficiency, and optimizes the overall quality of laying hens.

[0017] Optionally, analyzing the breeding data of the laying hens to be evaluated and determining the growth stage of the laying hens to be evaluated according to the data analysis results includes:

[0018] According to the preset monitoring type, the breeding data is classified to obtain body shape data and appearance images;

[0019] Determining the body development status according to the body shape data;

[0020] Analyzing the appearance image to evaluate the feather density, feather glossiness, and feather integrity of the laying hen to be evaluated;

[0021] Determining the growth and development of the laying hen to be evaluated according to the feather density, the feather glossiness, and the feather integrity;

[0022] The growth stage of the laying hen to be evaluated is determined according to the body development and the growth and development.

[0023] Through this solution, the body shape data and feather status are analyzed in detail to accurately judge the health and development status of each laying hen. Based on the scientific evaluation results, it is decided whether to continue breeding or eliminate laying hens, avoiding the elimination of excellent laying hens or the retention of inefficient laying hens due to wrong judgment. It reduces the subjectivity and error of human judgment and improves the accuracy of breeding selection.

[0024] Optionally, acquiring multi-angle images of the produced eggs based on the current light intensity; and analyzing the multi-angle images to determine the eggshell quality of the produced eggs includes:

[0025] Based on the current light intensity, determining an analysis light intensity;

[0026] Using a camera device, determine the initial placement state of the eggs laid;

[0027] According to the initial placement state, the analysis light intensity is sent to a light transmission detection device to collect the multi-angle image;

[0028] Extracting the egg images in the multi-angle images to obtain egg features;

[0029] Determine the pixel brightness of each pixel according to the egg feature;

[0030] And according to the analysis light intensity and the pixel brightness of each pixel point, the transmittance of each egg feature is determined, which is specifically calculated by the following formula:

[0031] Characteristics of each egg ;

[0032] Wherein, the light source intensity of each pixel point is obtained by the initial placement state and the placement position of the light transmission detection device;

[0033] According to the initial placement state, each multi-angle image is divided into regions to obtain a plurality of regions;

[0034] Based on the transmittance of each egg feature in each area, calculate the average transmittance of each area;

[0035] For each region, the average transmittance of any two regions is compared to determine the standard deviation of the average transmittance between any two regions;

[0036] Determining eggshell uniformity based on the standard deviation of the average light transmittance between any two regions;

[0037] The eggshell quality of the produced eggs is determined based on the eggshell uniformity.

[0038] This solution collects multi-angle light transmission images of eggs and calculates the transmittance of each pixel, which can accurately evaluate the thickness and uniformity of the eggshell. The control of light intensity, automatic collection of multi-angle images and transmittance calculation can be achieved, and the entire detection process can be completed without human intervention. By dividing the area and calculating the standard deviation of the regional transmittance, the uniformity of the eggshell can be quickly obtained. The detection efficiency is improved and human errors are reduced. According to the real-time light intensity and the initial placement of the eggs, the light source intensity and angle of the light transmission detection equipment are dynamically adjusted to ensure that each egg is tested under the best conditions.

[0039] Optionally, analyzing the egg laying data of the laying hen to be evaluated to determine the appearance characteristics of the eggs laid by the laying hen to be evaluated includes:

[0040] parsing the egg-laying data to determine the registered image of the laid eggs;

[0041] Analyze the registered image to determine the eggshell color and eggshell concave-convex condition of the produced egg;

[0042] Determine the shooting position and shooting angle according to the upload source of the registered image;

[0043] Determining the egg size of the produced eggs according to the shooting position and the shooting angle;

[0044] The eggshell color, the egg size and the eggshell concave-convex condition are determined as the appearance characteristics of the eggs laid by the laying hen to be evaluated.

[0045] Through this solution, the egg laying data and images are associated to ensure that the system can quickly and accurately find the multi-angle images of each egg, reducing human intervention and errors. Automated color and surface bump detection can quickly and accurately evaluate the appearance quality of eggs. Analyzing the shooting position and angle information ensures that the image analysis is based on the correct angle and position, reducing errors caused by image deformation and improving the accuracy of appearance analysis.

[0046] Optionally, after determining whether to continue the cultivation of the laying hen to be evaluated according to the eggshell quality, the development status, the appearance characteristics and the feeding data, the method further includes:

[0047] If it is determined to stop the cultivation of the laying hen to be evaluated, then determining the egg-laying defect of the laying hen to be evaluated according to the developmental status;

[0048] Determine the average food intake and current feed remaining amount of the laying hen to be evaluated according to the feeding data;

[0049] Determining whether the egg-laying defect is caused by eating according to the average food intake;

[0050] If yes, then adjust the next feeding plan according to the average food intake and the current feed remaining amount;

[0051] If not, analyzing the appearance characteristics to determine the nutritional deficiencies of the laying hens to be evaluated;

[0052] Adjust the next feeding plan based on the nutritional deficiencies described.

[0053] Through this solution, the analysis of development status and egg production data can quickly identify egg production defects and provide a basis for subsequent analysis. Accurately determine the average feed intake and feed surplus of laying hens to ensure that there is sufficient data to support subsequent cause analysis and feeding plan adjustment. Optimize the feeding plan to ensure that laying hens get enough nutrition in the next cycle, solve the nutritional problems of laying hens in a targeted manner, ensure that laying hens get enough nutritional supplements, and improve their egg production quality and quantity. Improve their egg production performance and reduce the occurrence of egg production defects.

[0054] Optionally, after determining whether to continue the cultivation of the laying hen to be evaluated according to the eggshell quality, the development status, the appearance characteristics and the feeding data, the method further includes:

[0055] If it is determined to continue the cultivation of the laying hen to be evaluated, the nutrient absorption capacity of the laying hen to be evaluated is determined according to the developmental status:

[0056] Adjust feed formula according to the nutrient absorption capacity;

[0057] According to the appearance characteristics of the eggs laid by the laying hens to be evaluated, each laying hen to be evaluated is ranked according to the quality of the eggs laid;

[0058] According to the ranking results, determine the breeding priority of each laying hen to be evaluated;

[0059] According to the cultivation priority and the preset priority rules, a cultivation environment adjustment plan for each laying hen to be evaluated is determined.

[0060] Through this program, feed formulas are adjusted according to nutrient absorption capacity, nutrient supply is optimized, nutrient absorption efficiency of laying hens is improved, and healthy development is promoted. According to the sorting of egg appearance characteristics, the production potential of each laying hen is clarified, which helps to select high-quality individuals and optimize breeding and management strategies. The setting of breeding priorities helps farmers allocate resources efficiently and ensure that high-quality laying hens are optimally bred.

[0061] Optionally, adjusting the next feeding plan according to the average food intake and the current feed remaining amount includes:

[0062] Determining the age of the laying hen to be evaluated according to the developmental status;

[0063] According to the age, calling up a preset feeding plan;

[0064] Determining the daily eating habits of the laying hens to be evaluated based on the feeding data;

[0065] The next feeding plan is determined according to the daily eating habits, the current feed remaining amount, and the preset feeding plan.

[0066] Through this solution, the automated age calculation ensures that the system can accurately grasp the growth stage of each laying hen, and then customize a suitable feeding plan for it. By analyzing eating habits, it can be determined whether the laying hen is taking in enough nutrition, whether there are potential health or feed problems, and provide data basis for subsequent adjustments to the feeding plan.

[0067] In a second aspect, the present application provides a breeding evaluation system based on feeding amount, comprising:

[0068] A growth analysis module is used to obtain and analyze the breeding data of the laying hens to be evaluated, and determine the growth stage of the laying hens to be evaluated according to the data analysis results;

[0069] A development analysis module, used to obtain environmental data and feeding data of the laying hen to be evaluated, and determine the development status of the laying hen to be evaluated according to the environmental data, the growth stage and the feeding data;

[0070] A characteristic analysis module is used to obtain and analyze the egg-laying data of the laying hen to be evaluated, and determine the appearance characteristics of the eggs laid by the laying hen to be evaluated;

[0071] The cultivation judgment module is used to determine whether to continue the cultivation of the laying hen to be evaluated based on the development status, the appearance characteristics and the feeding data.

[0072] Optionally, when determining whether to continue the cultivation of the laying hen to be evaluated according to the development status, the appearance characteristics and the feeding data, the cultivation judgment module is used to:

[0073] Determine the current light intensity according to the environmental data;

[0074] Based on the current light intensity, acquiring multi-angle images of the laid eggs;

[0075] Analyzing the multi-angle images to determine the eggshell quality of the produced eggs;

[0076] Determine whether to continue breeding the laying hen to be evaluated based on the eggshell quality, the developmental status, the appearance characteristics and the feeding data.

[0077] Optionally, when analyzing the breeding data of the laying hen to be evaluated and determining the growth stage of the laying hen to be evaluated according to the data analysis result, the growth analysis module is used to:

[0078] According to the preset monitoring type, the breeding data is classified to obtain body shape data and appearance images;

[0079] Determining the body development status according to the body shape data;

[0080] Analyzing the appearance image to evaluate the feather density, feather glossiness, and feather integrity of the laying hen to be evaluated;

[0081] Determining the growth and development of the laying hen to be evaluated according to the feather density, the feather glossiness, and the feather integrity;

[0082] The growth stage of the laying hen to be evaluated is determined according to the body development and the growth and development.

[0083] Optionally, when the cultivation judgment module acquires multi-angle images of the produced eggs based on the current light intensity and analyzes the multi-angle images to determine the eggshell quality of the produced eggs, it is used to:

[0084] Based on the current light intensity, determining an analysis light intensity;

[0085] Using a camera device, determine the initial placement state of the eggs laid;

[0086] According to the initial placement state, the analysis light intensity is sent to a light transmission detection device to collect the multi-angle image;

[0087] Extracting the egg images in the multi-angle images to obtain egg features;

[0088] Determine the pixel brightness of each pixel according to the egg feature;

[0089] And according to the analysis light intensity and the pixel brightness of each pixel point, the transmittance of each egg feature is determined, which is specifically calculated by the following formula:

[0090] Characteristics of each egg ;

[0091] Wherein, the light source intensity of each pixel point is obtained by the initial placement state and the placement position of the light transmission detection device;

[0092] According to the initial placement state, each multi-angle image is divided into regions to obtain a plurality of regions;

[0093] Based on the transmittance of each egg feature in each area, calculate the average transmittance of each area;

[0094] For each region, the average transmittance of any two regions is compared to determine the standard deviation of the average transmittance between any two regions;

[0095] Determining eggshell uniformity based on the standard deviation of the average light transmittance between any two regions;

[0096] The eggshell quality of the produced eggs is determined based on the eggshell uniformity.

[0097] Optionally, when analyzing the egg-laying data of the laying hen to be evaluated and determining the appearance characteristics of the eggs laid by the laying hen to be evaluated, the characteristic analysis module is used to:

[0098] parsing the egg-laying data to determine the registered image of the laid eggs;

[0099] Analyze the registered image to determine the eggshell color and eggshell concave-convex condition of the produced egg;

[0100] Determine the shooting position and shooting angle according to the upload source of the registered image;

[0101] Determining the egg size of the produced eggs according to the shooting position and the shooting angle;

[0102] The eggshell color, the egg size and the eggshell concave-convex condition are determined as the appearance characteristics of the eggs laid by the laying hen to be evaluated.

[0103] Optionally, the breeding evaluation system further comprises a feeding adjustment module, which is used to:

[0104] If it is determined to stop the cultivation of the laying hen to be evaluated, then determining the egg-laying defect of the laying hen to be evaluated according to the developmental status;

[0105] Determine the average food intake and current feed remaining amount of the laying hen to be evaluated according to the feeding data;

[0106] Determining whether the egg-laying defect is caused by eating according to the average food intake;

[0107] If yes, then adjust the next feeding plan according to the average food intake and the current feed remaining amount;

[0108] If not, analyzing the appearance characteristics to determine the nutritional deficiencies of the laying hens to be evaluated;

[0109] Adjust the next feeding plan based on the nutritional deficiencies described.

[0110] Optionally, the breeding evaluation system further includes a cultivation adjustment module, which is used to:

[0111] If it is determined to continue the cultivation of the laying hen to be evaluated, the nutrient absorption capacity of the laying hen to be evaluated is determined according to the developmental status:

[0112] Adjust feed formula according to the nutrient absorption capacity;

[0113] According to the appearance characteristics of the eggs laid by the laying hens to be evaluated, each laying hen to be evaluated is ranked according to the quality of the eggs laid;

[0114] According to the ranking results, determine the breeding priority of each laying hen to be evaluated;

[0115] According to the cultivation priority and the preset priority rules, a cultivation environment adjustment plan for each laying hen to be evaluated is determined.

[0116] Optionally, when adjusting the next feeding plan according to the average food intake and the current feed remaining amount, the feeding adjustment module is used to:

[0117] Determining the age of the laying hen to be evaluated according to the developmental status;

[0118] According to the age, calling up a preset feeding plan;

[0119] Determining the daily eating habits of the laying hens to be evaluated based on the feeding data;

[0120] The next feeding plan is determined according to the daily eating habits, the current feed remaining amount, and the preset feeding plan.

[0121] In a third aspect, the present application provides a computer-readable storage medium, in which a computer program is stored; when the computer program is executed by a processor, the method as described in any one of the first aspects is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0122] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0123] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0124] Figure 2 A flow chart of a breeding evaluation method based on feeding amount provided in one embodiment of the present application;

[0125] Figure 3 A schematic diagram of the structure of a breeding evaluation system based on feeding amount provided in one embodiment of the present application. DETAILED DESCRIPTION

[0126] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0127] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0128] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0129] In order to improve the egg-laying performance of laying hens, optimize economic benefits and meet the market's growing demand for egg quality. With the growth of the global population and the increase in egg product consumption, the goal of breeding has gradually shifted from a single increase in egg production to multi-dimensional optimization, including the health of laying hens, feed conversion efficiency, disease resistance, and improvement of egg quality. These goals require breeders to continuously improve breeding methods to improve overall production efficiency. Existing breeding selections are mostly based on experience, which has a certain time lag. With the development of science and technology, this method has gradually shown disadvantages. Low efficiency and high error rate are common problems.

[0130] Based on this, the present application provides a breeding evaluation system and method based on feeding amount, with automated data collection and intelligent analysis models. Each growth stage, developmental status and egg production quality of laying hens are scientifically analyzed to ensure that more accurate decisions can be made when selecting seeds, minimizing the possibility of eliminating excellent laying hens or cultivating inefficient laying hens due to misjudgment. Breeding decisions are no longer static judgments based on past experience, but a dynamic process based on real-time data. Ensure optimal resource allocation and avoid wasting resources on chickens with low production efficiency. Reduce breeding costs and improve breeding efficiency.

[0131] Figure 1This is a schematic diagram of an application scenario provided in the present application. When breeding laying hens, the method provided in the present application is applied to achieve efficient laying hen breeding selection, reduce resource waste and breeding judgment errors.

[0132] Specifically, the method provided in the present application is applied to any server, and the server interacts with several monitoring devices in the environment where the laying hens are located. The several monitoring devices may include automatic feeders, drinking water monitoring systems, weighing equipment, and several types of sensors that can obtain environmental data, etc. Each laying hen can be equipped with a unique identifier for tracing data. Automated data collection and intelligent analysis models, each growth stage, developmental state and egg production quality of laying hens are scientifically analyzed to ensure that more accurate decisions can be made during seed selection, and the possibility of eliminating excellent laying hens or cultivating inefficient laying hens due to misjudgment is minimized. Breeding decisions are no longer static judgments based on past experience, but a dynamic process based on real-time data. Ensure the optimization of resource allocation and avoid wasting resources on chickens with low production efficiency. Reduce breeding costs and improve breeding efficiency. The specific implementation method can refer to the following embodiments.

[0133] Figure 2 This is a flow chart of a breeding evaluation method based on feeding amount provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0134] S201. Obtain and analyze the breeding data of the laying hens to be evaluated, and determine the growth stage of the laying hens to be evaluated based on the data analysis results.

[0135] Farming data may include feed intake, water intake, body weight, activity data, etc.

[0136] The laying hens to be evaluated can be understood as laying hens that need to be evaluated for breeding selection.

[0137] Specifically, the breeding data of several laying hens are acquired by using the several sensors or devices arranged as above, and then the breeding data of the laying hen to be evaluated is extracted from the breeding data of several laying hens by using the unique identifier of the laying hen to be evaluated.

[0138] Then, we can use the resume deep learning model to build a breeding data analysis model. This breeding data analysis model can be trained with breeding data in historical stages, such as food intake, water intake, body weight, and corresponding actual growth stages as samples, so that this breeding data analysis model can analyze the input breeding data to determine the growth stage of the corresponding laying hen. At this time, the breeding data of the laying hen to be evaluated is input into the breeding data analysis model, and the growth stage of the laying hen to be evaluated is determined based on the output results.

[0139] S202, obtaining environmental data and feeding data of the laying hens to be evaluated, and determining the developmental status of the laying hens to be evaluated based on the environmental data, growth stage and feeding data.

[0140] Feeding data can be included in the breeding data, mainly including the feeding conditions of the laying hens to be evaluated at various growth stages, such as feed feeding amount, water feeding amount, etc.

[0141] Environmental data can be obtained through several types of sensors that acquire environmental data, such as temperature and humidity sensors, light sensors, ammonia sensors, etc.

[0142] Specifically, the food intake of the laying hens to be evaluated is calculated based on the feed feeding amount and the remaining feed on that day. The weight gain of the laying hens to be evaluated is determined based on the weight data. Then, the linear regression method is used to conduct a comprehensive analysis of the weight gain, food intake, and water intake to evaluate the development status of the laying hens to be evaluated.

[0143] S203, obtaining and analyzing the egg-laying data of the laying hens to be evaluated, and determining the appearance characteristics of the eggs laid by the laying hens to be evaluated.

[0144] There are also several cameras in the environment where the laying hens are located for all-round monitoring. For example, cameras are installed in the egg-laying area to observe the quality of eggs and whether they are laying eggs.

[0145] According to the camera device of the egg-laying area, the egg-laying time of the egg-laying hen to be evaluated is determined, and the images corresponding to the eggs in these times are analyzed to determine the pixel characteristics of the appearance of these eggs, thereby obtaining the appearance characteristics. The appearance characteristics may include size characteristics, color characteristics, shell surface characteristics, etc.

[0146] S204. Determine whether to continue breeding the laying hens to be evaluated based on their development status, appearance characteristics and feeding data.

[0147] Specifically, a decision analysis model is established, and a machine learning algorithm such as a decision tree is used to determine whether the egg-laying chicken to be evaluated should continue to be cultivated. The input variables of the model are development status, appearance characteristics, and feeding data, and the output result is whether to continue to cultivate, such as "continue to cultivate" or "eliminate".

[0148] Through this solution, automated data collection and intelligent analysis models, each growth stage, developmental status and egg production quality of laying hens are scientifically analyzed, ensuring that more accurate decisions can be made when selecting breeds, minimizing the possibility of eliminating excellent laying hens or cultivating inefficient laying hens due to misjudgment. Breeding decisions are no longer static judgments based on past experience, but a dynamic process based on real-time data. Ensure optimal resource allocation and avoid wasting resources on chickens with low production efficiency. Reduce breeding costs and improve breeding efficiency.

[0149] In some embodiments, the current light intensity is determined based on environmental data; based on the current light intensity, multi-angle images of the eggs produced are obtained; the multi-angle images are analyzed to determine the eggshell quality of the eggs produced; based on the eggshell quality, developmental status, appearance characteristics and feeding data, it is determined whether to continue the cultivation of the laying hens to be evaluated.

[0150] The multi-angle images can be realized by at least one camera device in the egg-laying area.

[0151] Eggshell quality can be obtained through a comprehensive analysis of eggshell thickness, color, smoothness, etc.

[0152] Specifically, the light intensity at the current moment is obtained from the above-mentioned environmental data. According to the light intensity at the current moment, the lights arranged next to the several camera devices in the egg-laying area are adjusted to ensure that a clearer picture of the eggs can be taken. After the adjustment, multi-angle images of the eggs are obtained. Then, the multi-angle head portrait is analyzed using an image analysis algorithm to determine the color uniformity, thickness, and surface defects of the eggs, such as cracks and spots. The size of the eggs can also be analyzed using edge detection technology to determine the size of the eggs, so as to establish a deep learning model based on color uniformity, thickness, surface defects, and size, and score the eggs to obtain the eggshell quality.

[0153] The development status, appearance characteristics, eggshell quality score and feeding data of laying hens are input into the intelligent decision-making model. The model will conduct a comprehensive evaluation through a machine learning algorithm and give recommendations on whether to continue breeding or eliminate them. This model can adjust thresholds based on historical data (such as setting development status scores, eggshell quality scores, etc.) and judge the breeding value of laying hens through comprehensive scores. Ultimately, decisions are automatically generated to guide farmers to take specific management measures (such as continuing breeding, adjusting nutrition or eliminating).

[0154] Through this solution, image analysis technology can be used to accurately evaluate the appearance and quality of eggs, helping to identify high-quality laying hens. Comprehensive analysis of development, appearance and feeding data ensures comprehensive and accurate decision-making. Effectively optimize feed use and breeding strategies, reduce resource waste, and improve the overall production efficiency of laying hen groups. Dynamic judgments are made based on real-time and historical data to improve the accuracy of breeding selection. Automated decision-making reduces human intervention, improves breeding efficiency, and optimizes the overall quality of laying hens.

[0155] In some embodiments, the breeding data is classified according to preset monitoring types to obtain body shape data and appearance images; the body shape development is determined based on the body shape data; the appearance images are analyzed to evaluate the feather density, feather glossiness, and feather integrity of the laying hens to be evaluated; the growth and development of the laying hens to be evaluated are determined based on the feather density, feather glossiness, and feather integrity; the growth stage of the laying hens to be evaluated is determined based on the body shape development and growth and development.

[0156] Body shape data may include parameters such as height, weight, chest circumference, etc. of laying hens, which can reflect the development status of the laying hens to be evaluated.

[0157] The preset monitoring type may be classified according to the sensors and devices deployed in the current environment, such as temperature, humidity, egg image, laying hen image, etc. Among them, the egg image and laying hen image can both be considered as appearance images.

[0158] Specifically, the breeding data is classified according to the preset monitoring type and the characteristics of the data obtained by the sensors and equipment deployed in advance, so as to obtain the body shape data and appearance images of the laying hens to be evaluated in the breeding data.

[0159] In order to more accurately evaluate the body development, a standard growth curve can be developed based on historical breeding data. The body growth rate is calculated using mathematical analysis methods through the body data of the laying hens to be evaluated throughout the growth stage, and then this body growth rate is compared with the standard growth curve to determine whether the body development meets the normal development level, thereby obtaining the body development of the laying hens to be evaluated. The appearance image is then further analyzed to determine the feather density, feather reflection brightness, and whether the feathers are falling off or damaged. The growth and development of the laying hens to be evaluated are determined based on the feather density, feather reflection brightness, and whether the feathers are falling off or damaged.

[0160] First, according to the body development, determine which growth stage the body shape of the laying hen to be evaluated is more consistent with. Then, combined with the growth and development situation, further determination is made to obtain the accurate growth stage of the laying hen to be evaluated.

[0161] Through this solution, the body shape data and feather status are analyzed in detail to accurately judge the health and development status of each laying hen. Based on the scientific evaluation results, it is decided whether to continue breeding or eliminate laying hens, avoiding the elimination of excellent laying hens or the retention of inefficient laying hens due to wrong judgment. It reduces the subjectivity and error of human judgment and improves the accuracy of breeding selection.

[0162] In some embodiments, based on the current light intensity, the analysis light intensity is determined; the initial placement state of the eggs to be laid is determined using a camera device; according to the initial placement state, the analysis light intensity is sent to a light transmission detection device to collect multi-angle images; the egg images in the multi-angle images are extracted to obtain egg features; according to the egg features, the pixel brightness of each pixel is determined; and according to the analysis light intensity and the pixel brightness of each pixel, the transmittance of each egg feature is determined, specifically by the following formula (1), wherein the light source intensity of each pixel is obtained by the initial placement state and the placement position of the light transmission detection device. According to the initial placement state, each multi-angle image is divided into regions to obtain a plurality of regions; according to the transmittance of each egg feature in each region, the average transmittance of each region is calculated; for each region, the average transmittance of any two regions is compared to determine the standard deviation of the average transmittance between any two regions; according to the standard deviation of the average transmittance between any two regions, the eggshell uniformity is determined; according to the eggshell uniformity, the eggshell quality of the eggs to be laid is determined.

[0163] Characteristics of each egg (1)

[0164] Analytical light intensity can be understood as the light intensity suitable for light transmission detection of eggshell quality.

[0165] The initial placement state can be the original state of the eggs in the egg-laying area, which is the state that the eggs have not been moved manually after the laying hens to be evaluated have laid eggs, or it can also be considered as the placement state before taking pictures, such as placing the eggs with the tip facing down. The initial placement state affects the accuracy of subsequent light transmission detection.

[0166] Specifically, the initial placement state of each egg is photographed using a camera device, and the placement angle and position of the egg are identified using image recognition technology. The placement direction of each egg (such as horizontal or vertical) is automatically analyzed to ensure that the light transmission detection device is adjusted according to the actual position of the egg. According to the initial placement state of the egg, the calculated light intensity value is sent to the light transmission detection device so that the light transmission detection device adjusts the light source angle and intensity, and performs multi-angle light transmission imaging of the egg to ensure that the light can fully penetrate the eggshell. Then, the characteristic areas of the egg, such as the eggshell contour, weak areas, thickness change areas, etc., are extracted using image segmentation technology (such as edge detection, area segmentation, etc.). Using an image processing algorithm, the brightness value of each pixel in the image is analyzed one by one, and then the light transmission degree of each pixel is obtained by using formula (1) based on the analyzed light intensity and the pixel brightness of each pixel.

[0167] Each multi-angle image is divided into several small areas (for example, the image is divided into multiple equal-area areas using a rasterization method), each of which contains several pixels. For each area, the transmittance of all pixels in the area is calculated to obtain the average transmittance of the area. The average transmittance of any two areas is selected for comparison, and the transmittance difference between them is calculated. By calculating the standard deviation of the average transmittance between any two areas, the fluctuation of transmittance between different areas is quantified. If the standard deviation is small, it means that the eggshell thickness is uniform; if the standard deviation is large, it means that the eggshell is uneven. Combining the eggshell uniformity data, transmittance image and feature extraction results of multi-angle images, the overall quality evaluation of the eggshell is obtained.

[0168] This solution collects multi-angle light transmission images of eggs and calculates the transmittance of each pixel, which can accurately evaluate the thickness and uniformity of the eggshell. The control of light intensity, automatic collection of multi-angle images and transmittance calculation can be achieved, and the entire detection process can be completed without human intervention. By dividing the area and calculating the standard deviation of the regional transmittance, the uniformity of the eggshell can be quickly obtained. The detection efficiency is improved and human errors are reduced. According to the real-time light intensity and the initial placement of the eggs, the light source intensity and angle of the light transmission detection equipment are dynamically adjusted to ensure that each egg is tested under the best conditions.

[0169] In some embodiments, egg-laying data is parsed to determine a registration image of the laid eggs; the registration image is analyzed to determine the eggshell color and eggshell bumps of the laid eggs; the shooting position and shooting angle are determined based on the upload source of the registration image; the egg size of the laid eggs is determined based on the shooting position and shooting angle; the eggshell color, egg size and eggshell bumps are determined as the appearance characteristics of the eggs laid by the laying hens to be evaluated.

[0170] The registration image can be understood as an image taken after the eggs are laid, which can be taken and uploaded by on-site staff or by surrounding camera devices.

[0171] Specifically, each egg will be photographed the moment it is laid. At the same time, on-site staff can register the egg data according to the regulations of the chicken house cultivation, such as egg-laying time, chicken house number, egg serial number, etc., associate this information and generate a registration record, which also includes the registration image after production.

[0172] Use image processing algorithms (such as color histogram analysis or color space conversion algorithms) to extract eggshell color information from the registered image. Use image edge detection algorithms or 3D image reconstruction technology to detect uneven areas on the egg surface. Analyze shadows, light reflections, and surface textures in the image to determine the concave or convex conditions on the eggshell surface and mark the degree of concave and convex.

[0173] The location of each camera device and the corresponding device number can be stored in advance. When the camera device uploads a picture, the device number of the camera device will be uploaded together. At this time, the specific location of the camera device can be determined according to the device number, and the shooting position and shooting angle can be determined according to the location and the position of the eggs.

[0174] Based on the shooting position and shooting angle, the imaging ratio of the egg in the image to the actual egg is determined, so as to analyze the egg size in the image and determine the actual egg size of the eggs produced.

[0175] The eggshell color, egg size and eggshell bumps are determined as the appearance characteristics of the eggs laid by the laying hens to be evaluated.

[0176] Through this solution, the egg laying data and images are associated to ensure that the system can quickly and accurately find the multi-angle images of each egg, reducing human intervention and errors. Automated color and surface bump detection can quickly and accurately evaluate the appearance quality of eggs. Analyzing the shooting position and angle information ensures that the image analysis is based on the correct angle and position, reducing errors caused by image deformation and improving the accuracy of appearance analysis.

[0177] In some embodiments, if it is determined to stop the cultivation of the laying hen to be evaluated, the egg-laying defects of the laying hen to be evaluated are determined based on the developmental status; the average food intake and the current feed remaining amount of the laying hen to be evaluated are determined based on the feeding data; based on the average food intake, it is determined whether the cause of the egg-laying defects is caused by eating; if so, the next feeding plan is adjusted based on the average food intake and the current feed remaining amount; if not, the appearance characteristics are analyzed to determine the nutritional deficiencies of the laying hen to be evaluated; and the next feeding plan is adjusted based on the nutritional deficiencies.

[0178] The next feeding plan can be a plan formed by the dosage of the next feeding to the laying hens to be evaluated. Since the breeding of laying hens has a certain cost, it is necessary to achieve more efficient breeding at a lower cost. Therefore, try not to abandon unqualified laying hens, but adjust the feeding plan to meet the requirements.

[0179] Egg-laying defects can be considered as defects in the eggs produced, such as uneven eggshell thickness.

[0180] Specifically, if it is determined that the laying hen to be evaluated does not meet the breeding requirements, it can be regarded as stopping the breeding of the laying hen to be evaluated. At this time, in order to save costs and increase production, the feeding of the laying hen to be evaluated can be adjusted so that the laying hen to be evaluated can return to normal. At this time, by real-time monitoring of the development data of the laying hen, such as weight, feather status, body development, etc., combined with historical data, it is judged whether there is a maldevelopment. The egg production, eggshell quality, egg shape and other data of the laying hen to be evaluated are compared with the benchmark data of the standard laying hen group. If the egg production is low, the eggshell is thin, or there are deformed eggs, it is judged as an egg production defect. The egg production, eggshell quality, egg shape and other data of the laying hen to be evaluated are compared with the benchmark data of the standard laying hen group. If the egg production is low, the eggshell is thin, or there are deformed eggs, it is judged as an egg production defect.

[0181] Record the daily feed intake of laying hens through an automatic feed distribution system or feeding sensors, and calculate the average feed intake over a period of time. Obtain the current feed remaining to determine feed consumption and inventory. Compare the average feed intake of the laying hens to be evaluated with the feeding standard of healthy laying hens to determine whether there is insufficient or excessive feeding. Combine historical data with nutritional models to analyze whether feed intake is related to egg production defects (such as poor eggshell quality or low egg production). If the feed intake is significantly lower than the standard, it may lead to malnutrition, which in turn affects egg production.

[0182] According to the feeding amount of the laying hens to be evaluated and the current remaining feed amount, the amount of feed to be distributed next time is automatically calculated, and corresponding nutritional adjustments are made (such as adding specific nutrients). The adjusted feeding plan is implemented through automatic feed distribution equipment to ensure that the laying hens get the right amount of feed that meets their nutritional needs when they eat next time.

[0183] If it is not caused by eating, the image analysis system will be used to detect the appearance characteristics of the laying hens, such as weight, feather gloss, feather density, etc. Combined with the developmental status, further analysis of possible nutritional deficiencies will be conducted. Based on the appearance characteristics and nutritional model, it will be determined whether the laying hens have certain nutritional deficiencies (such as protein, calcium, vitamins, etc.), and the specific nutritional deficiencies will be confirmed.

[0184] Through this solution, the development status and egg production data are analyzed to quickly identify egg production defects, providing a basis for subsequent analysis. Accurately determine the average feed intake and feed surplus of laying hens to ensure that there is sufficient data to support subsequent cause analysis and feeding plan adjustments. Optimize the feeding plan to ensure that laying hens get enough nutrition in the next cycle, solve the nutritional problems of laying hens in a targeted manner, ensure that laying hens get enough nutritional supplements, and improve their egg production quality and quantity. Improve their egg production performance and reduce the occurrence of egg production defects.

[0185] In some embodiments, if it is determined to continue the cultivation of the laying hen to be evaluated, the nutritional absorption capacity of the laying hen to be evaluated is determined according to the developmental status: the feed formula is adjusted according to the nutritional absorption capacity; according to the appearance characteristics of the eggs laid by the laying hen to be evaluated, each laying hen to be evaluated is sorted according to the quality of the eggs laid; based on the sorting results, the cultivation priority of each laying hen to be evaluated is determined; based on the cultivation priority and preset priority rules, the cultivation environment adjustment plan for each laying hen to be evaluated is determined.

[0186] The preset priority rules can be the priority breeding standards adopted by the chicken house in order to better improve the quality.

[0187] Specifically, if it is determined to continue breeding the laying hens to be evaluated, based on the nutrient absorption model established in advance (such as the relationship between intake and weight gain), analyze the difference in weight gain and food intake of the laying hens to determine their nutrient absorption capacity.

[0188] Automatically adjust the feed formula based on the analysis results of nutrient absorption capacity. If the nutrient absorption capacity is poor, it may be necessary to increase the intake of protein or trace elements to improve absorption efficiency. Generate personalized feed formulas for different laying hens, increase or decrease specific nutrients (such as vitamins, minerals, etc.) to match their nutritional needs.

[0189] The appearance characteristics of the eggs obtained above are scored and sorted according to the scores. Eggs produced by laying hens with high appearance scores are more competitive in the market and are ranked higher; laying hens with lower scores are ranked lower. According to the ranking order, the breeding priority of each laying hen to be evaluated is determined. Laying hens with higher scores are given higher breeding priorities and have priority in obtaining resources and the best environment.

[0190] According to the breeding priority and the preset priority rules, the laying hens of different priority levels are automatically matched with the environmental conditions suitable for them, that is, the breeding environment adjustment plan is obtained. The laying hens with high priority will be arranged in the breeding environment with better conditions.

[0191] Through this program, feed formulas are adjusted according to nutrient absorption capacity, nutrient supply is optimized, nutrient absorption efficiency of laying hens is improved, and healthy development is promoted. According to the sorting of egg appearance characteristics, the production potential of each laying hen is clarified, which helps to select high-quality individuals and optimize breeding and management strategies. The setting of breeding priorities helps farmers allocate resources efficiently and ensure that high-quality laying hens are optimally bred.

[0192] In some embodiments, the age of the laying hen to be evaluated is determined based on the developmental status; based on the age, a preset feeding plan is retrieved; based on the feeding data, the daily eating habits of the laying hen to be evaluated are determined; based on the daily eating habits, the current feed remaining amount, and the preset feeding plan, the next feeding plan is determined.

[0193] Daily eating habits can be understood as the eating habits of the laying hens to be evaluated. For example, some laying hens will eat all at once or until they are full and will not eat again, while some laying hens will eat in batches.

[0194] A preset feeding plan can be considered a feeding plan set according to the growing age of the laying hen.

[0195] Specifically, when laying hens enter the house, their birth dates are recorded and individual files are created. The age of each laying hen is automatically calculated and updated, and the age of the laying hen to be evaluated is calculated based on the difference between the daily system time and the recorded time. Based on the current age of the laying hen, a preset feeding plan that matches its growth stage is retrieved from the database. These plans take into account the development needs of laying hens, such as the distribution of nutrients such as protein, calcium, and vitamins.

[0196] According to the daily feeding data, the feeding habits of laying hens are analyzed, such as whether there is a stable feeding pattern, whether the feeding amount meets the expected standard, and whether there is abnormal behavior of eating too little or too much. According to the analysis results of daily feeding habits and the current feed remaining amount, the next feeding plan is adjusted. If the feeding amount is lower than expected, the feed ratio may be adjusted or the nutrient density may be increased; if the feeding amount is too high, the feed input amount is reduced accordingly.

[0197] Through this solution, the automated age calculation ensures that the system can accurately grasp the growth stage of each laying hen, and then customize a suitable feeding plan for it. By analyzing eating habits, it can be determined whether the laying hen is taking in enough nutrition, whether there are potential health or feed problems, and provide data basis for subsequent adjustments to the feeding plan.

[0198] Figure 3 A schematic diagram of a breeding evaluation system based on feeding amount provided in one embodiment of the present application is shown in FIG. Figure 3 As shown, the breeding evaluation system 300 based on feeding amount of this embodiment includes: a growth analysis module 301, a development analysis module 302, a characteristic analysis module 303, and a cultivation judgment module 304.

[0199] The growth analysis module 301 is used to obtain and analyze the breeding data of the laying hens to be evaluated, and determine the growth stage of the laying hens to be evaluated according to the data analysis results;

[0200] The development analysis module 302 is used to obtain environmental data and feeding data of the laying hens to be evaluated, and determine the development status of the laying hens to be evaluated according to the environmental data, growth stage and feeding data;

[0201] The characteristic analysis module 303 is used to obtain and analyze the egg laying data of the laying hen to be evaluated, and determine the appearance characteristics of the eggs laid by the laying hen to be evaluated;

[0202] The cultivation judgment module 304 is used to determine whether to continue the cultivation of the laying hen to be evaluated based on the development status, appearance characteristics and feeding data.

[0203] In some embodiments, when determining whether to continue the cultivation of the laying hen to be evaluated based on the developmental status, appearance characteristics and feeding data, the cultivation judgment module 304 is used to: determine the current light intensity based on the environmental data; obtain multi-angle images of the eggs laid based on the current light intensity; analyze the multi-angle images to determine the eggshell quality of the eggs laid; determine whether to continue the cultivation of the laying hen to be evaluated based on the eggshell quality, developmental status, appearance characteristics and feeding data.

[0204] In some embodiments, when analyzing the breeding data of the laying hens to be evaluated and determining the growth stage of the laying hens to be evaluated based on the data analysis results, the growth analysis module 301 is used to: classify the breeding data according to a preset monitoring type to obtain body shape data and appearance images; determine the body development status based on the body shape data; analyze the appearance images to evaluate the feather density, feather gloss, and feather integrity of the laying hens to be evaluated; determine the growth and development of the laying hens to be evaluated based on the feather density, feather gloss, and feather integrity; determine the growth stage of the laying hens to be evaluated based on the body development status and growth and development status.

[0205] In some embodiments, the cultivation judgment module 304 obtains multi-angle images of the laid eggs based on the current light intensity; analyzes the multi-angle images to determine the eggshell quality of the laid eggs, and is used to: determine the analysis light intensity based on the current light intensity; use a camera device to determine the initial placement state of the laid eggs; according to the initial placement state, send the analysis light intensity to the light transmission detection device to collect multi-angle images; extract the laid egg picture in the multi-angle image to obtain the egg feature; determine the pixel brightness of each pixel point according to the egg feature; and determine the transmittance of each egg feature according to the analysis light intensity and the pixel brightness of each pixel point, which is specifically calculated by the following formula:

[0206] Characteristics of each egg ;

[0207] The light source intensity of each pixel is obtained by the initial placement state and the placement position of the light transmission detection device;

[0208] According to the initial placement state, each multi-angle image is divided into several areas; according to the transmittance of each egg characteristic in each area, the average transmittance of each area is calculated; for each area, the average transmittance of any two areas is compared to determine the standard deviation of the average transmittance between any two areas; according to the standard deviation of the average transmittance between any two areas, the eggshell uniformity is determined; according to the eggshell uniformity, the eggshell quality of the produced eggs is determined.

[0209] In some embodiments, when analyzing the egg-laying data of the laying hens to be evaluated and determining the appearance characteristics of the eggs laid by the laying hens to be evaluated, the feature analysis module 303 is used to: parse the egg-laying data to determine the registration image of the laid eggs; analyze the registration image to determine the eggshell color and eggshell bumps of the laid eggs; determine the shooting position and shooting angle according to the upload source of the registration image; determine the egg size of the laid eggs according to the shooting position and shooting angle; determine the eggshell color, egg size and eggshell bumps as the appearance characteristics of the eggs laid by the laying hens to be evaluated.

[0210] In some embodiments, the breeding evaluation system 300 also includes a feeding adjustment module 305, which is used to: if it is determined to stop the breeding of the laying hens to be evaluated, determine the egg-laying defects of the laying hens to be evaluated based on the developmental status; determine the average food intake and current feed remaining amount of the laying hens to be evaluated based on the feeding data; determine whether the cause of the egg-laying defects is caused by eating based on the average food intake; if so, adjust the next feeding plan based on the average food intake and current feed remaining amount; if not, analyze the appearance characteristics to determine the nutritional deficiencies of the laying hens to be evaluated; and adjust the next feeding plan based on the nutritional deficiencies.

[0211] In some embodiments, the breeding evaluation system 300 also includes a cultivation adjustment module 306, which is used to: if it is determined to continue the cultivation of the laying hen to be evaluated, determine the nutritional absorption capacity of the laying hen to be evaluated according to the developmental status; adjust the feed formula according to the nutritional absorption capacity; sort each laying hen to be evaluated according to the quality of the eggs laid by the laying hen to be evaluated according to the appearance characteristics of the eggs laid by the laying hen to be evaluated; determine the cultivation priority of each laying hen to be evaluated based on the sorting result; determine the cultivation environment adjustment plan for each laying hen to be evaluated based on the cultivation priority and preset priority rules.

[0212] In some embodiments, when adjusting the next feeding plan based on the average food intake and the current feed remaining amount, the feeding adjustment module 305 is used to: determine the age of the laying hens to be evaluated based on the developmental status; retrieve the preset feeding plan based on the age; determine the daily eating habits of the laying hens to be evaluated based on the feeding data; determine the next feeding plan based on the daily eating habits, the current feed remaining amount, and the preset feeding plan.

[0213] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A breeding evaluation method based on feeding amount, characterized in that: include: Obtaining and analyzing the breeding data of the laying hens to be evaluated, and determining the growth stage of the laying hens to be evaluated based on the data analysis results; Acquiring environmental data and feeding data of the laying hen to be evaluated, and determining the developmental status of the laying hen to be evaluated according to the environmental data, the growth stage and the feeding data; Acquire and analyze the egg-laying data of the laying hen to be evaluated, and determine the appearance characteristics of the eggs laid by the laying hen to be evaluated; Determining whether to continue breeding the laying hen to be evaluated according to the developmental status, the appearance characteristics and the feeding data; The step of determining whether to continue the cultivation of the laying hen to be evaluated according to the developmental status, the appearance characteristics and the feeding data comprises: Determine the current light intensity according to the environmental data; Based on the current light intensity, acquiring multi-angle images of the laid eggs; Analyzing the multi-angle images to determine the eggshell quality of the produced eggs; Determining whether to continue breeding the laying hen to be evaluated according to the eggshell quality, the development status, the appearance characteristics and the feeding data; The method of acquiring multi-angle images of the eggs produced based on the current light intensity; and analyzing the multi-angle images to determine the eggshell quality of the eggs produced comprises: Based on the current light intensity, determining an analysis light intensity; Using a camera device, determine the initial placement state of the eggs laid; According to the initial placement state, the analysis light intensity is sent to a light transmission detection device to collect the multi-angle image; Extracting the egg images in the multi-angle images to obtain egg features; Determine the pixel brightness of each pixel according to the egg feature; And according to the analysis light intensity and the pixel brightness of each pixel point, the transmittance of each egg feature is determined, which is specifically calculated by the following formula: The light transmittance of each egg ; Wherein, the light source intensity of each pixel point is obtained by the initial placement state and the placement position of the light transmission detection device; According to the initial placement state, each multi-angle image is divided into regions to obtain a plurality of regions; Based on the transmittance of each egg feature in each area, calculate the average transmittance of each area; For each region, the average transmittance of any two regions is compared to determine the standard deviation of the average transmittance between any two regions; Determining eggshell uniformity based on the standard deviation of the average light transmittance between any two regions; The eggshell quality of the produced eggs is determined based on the eggshell uniformity.

2. The method according to claim 1, characterized in that The step of analyzing the breeding data of the laying hens to be evaluated and determining the growth stage of the laying hens to be evaluated according to the data analysis results includes: According to the preset monitoring type, the breeding data is classified to obtain body shape data and appearance images; Determining the body development status according to the body shape data; Analyzing the appearance image to evaluate the feather density, feather glossiness, and feather integrity of the laying hen to be evaluated; Determining the growth and development of the laying hen to be evaluated according to the feather density, the feather glossiness, and the feather integrity; The growth stage of the laying hen to be evaluated is determined according to the body development and the growth and development.

3. The method according to claim 1, characterized in that The step of analyzing the egg laying data of the laying hen to be evaluated and determining the appearance characteristics of the eggs laid by the laying hen to be evaluated includes: parsing the egg-laying data to determine the registered image of the laid eggs; Analyze the registered image to determine the eggshell color and eggshell concave-convex condition of the produced egg; Determine the shooting position and shooting angle according to the upload source of the registered image; Determining the egg size of the produced eggs according to the shooting position and the shooting angle; The eggshell color, the egg size and the eggshell concave-convex condition are determined as the appearance characteristics of the eggs laid by the laying hen to be evaluated.

4. The method according to claim 1, characterized in that: After determining whether to continue the cultivation of the laying hen to be evaluated according to the eggshell quality, the development status, the appearance characteristics and the feeding data, the method further includes: If it is determined to stop the cultivation of the laying hen to be evaluated, then determining the egg-laying defect of the laying hen to be evaluated according to the developmental status; Determine the average food intake and current feed remaining amount of the laying hen to be evaluated according to the feeding data; Determining whether the egg-laying defect is caused by eating according to the average food intake; If yes, then adjust the next feeding plan according to the average food intake and the current feed remaining amount; If not, analyzing the appearance characteristics to determine the nutritional deficiencies of the laying hens to be evaluated; Adjust the next feeding plan based on the nutritional deficiencies described.

5. The method according to claim 4, characterized in that After determining whether to continue the cultivation of the laying hen to be evaluated according to the eggshell quality, the development status, the appearance characteristics and the feeding data, the method further includes: If it is determined to continue the cultivation of the laying hen to be evaluated, the nutrient absorption capacity of the laying hen to be evaluated is determined according to the developmental status: Adjust feed formula according to the nutrient absorption capacity; According to the appearance characteristics of the eggs laid by the laying hens to be evaluated, each laying hen to be evaluated is ranked according to the quality of the eggs laid; According to the ranking results, determine the breeding priority of each laying hen to be evaluated; According to the cultivation priority and the preset priority rules, a cultivation environment adjustment plan for each laying hen to be evaluated is determined.

6. The method according to claim 5, characterized in that The step of adjusting the next feeding plan according to the average food intake and the current feed remaining amount includes: Determining the age of the laying hen to be evaluated according to the developmental status; According to the age, calling up a preset feeding plan; Determining the daily eating habits of the laying hens to be evaluated based on the feeding data; The next feeding plan is determined according to the daily eating habits, the current feed remaining amount, and the preset feeding plan.

7. A breeding evaluation system based on feeding amount, characterized in that: The method as claimed in any one of claims 1 to 6 comprises: A growth analysis module is used to obtain and analyze the breeding data of the laying hens to be evaluated, and determine the growth stage of the laying hens to be evaluated according to the data analysis results; A development analysis module, used to obtain environmental data and feeding data of the laying hen to be evaluated, and determine the development status of the laying hen to be evaluated according to the environmental data, the growth stage and the feeding data; A characteristic analysis module is used to obtain and analyze the egg-laying data of the laying hen to be evaluated, and determine the appearance characteristics of the eggs laid by the laying hen to be evaluated; The cultivation judgment module is used to determine whether to continue the cultivation of the laying hen to be evaluated based on the development status, the appearance characteristics and the feeding data.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program; when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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