Broiler feeding prediction system and method based on nutritional requirements

Abstract

The present application belongs to the technical field of broiler feeding monitoring, and particularly relates to a broiler feeding prediction system and method based on nutritional requirements. The present application realizes accurate prediction and management of broiler feeding by dynamically monitoring the growth parameters of broilers and combining historical successful breeding data. By comparing the growth differences between the breeding chicken group and the successfully bred chicken group, growth abnormalities can be found in time and corresponding measures can be taken, effectively reducing the uncertainty in the growth process of broilers. At the same time, by adjusting the feed formula, the best nutritional supply for broilers is ensured, further reducing the growth differences among broilers. After the feed is adjusted, the weight gain of the group to be improved can be tracked in real time to ensure the optimization effect of the feed formula. Through dynamic evaluation of the sub-section verification period, the improvement situation can be understood in time and accurately, so as to continuously optimize the feeding strategy and achieve the purpose of improving the overall breeding efficiency.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of broiler feeding monitoring, and particularly relates to a broiler feeding prediction system and method based on nutritional requirements. BACKGROUND

[0002] With the continuous development of information technology, it has also been widely used in the breeding industry. Compared with the traditional broiler feeding method, it not only improves the feeding efficiency, but also accurately controls the feed ratio, reduces resource waste, improves the quality of broilers, and realizes scientific and intelligent breeding management, so as to achieve the purpose of reducing breeding cost. The integration of information technology makes the broiler feeding process more refined, which can monitor the growth status of the chicken group in real time, dynamically adjust the feeding strategy, and ensure that each chicken can obtain the best nutritional supply, thereby significantly improving the overall breeding benefit.

[0003] In the prior art, although there are some feeding management systems for broilers, most of them only focus on the control of the amount of feed feeding. When the growth of broilers is abnormal, the amount of feed feeding is simply increased or decreased, and the adjustment of the nutritional ratio of feed is not considered, so that accurate nutritional supply cannot be realized, resulting in obvious differences in the growth of broilers in the same batch, thereby affecting the overall market quality and economic benefit. Based on this, the present application provides a broiler feeding prediction method based on nutritional requirements to solve the above problems. SUMMARY

[0004] The purpose of the present application is to provide a broiler feeding prediction system and method based on nutritional requirements, which can dynamically adjust the feed formula according to the growth status and nutritional requirements of broilers, realize accurate feeding, and reduce growth differences.

[0005] The technical solutions adopted by the present application are as follows:

[0006] The broiler feeding prediction method based on nutritional requirements comprises:

[0007] Obtaining individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group in a preset monitoring period;

[0008] Comparing the individual physiological parameters, growth environment parameters and feed nutritional parameters with the historical growth records of the chicken group of the same type and successfully bred, and outputting the growth difference between the breeding chicken group and the successfully bred chicken group;

[0009] Determining the growth state of the breeding chicken group according to the growth difference, and when the growth state is abnormal, adjusting the breeding chicken group, and dividing the breeding chicken group into an optimal growth group and a group to be improved;

[0010] The superior population maintains the current feeding mode, and the to-be-improved population adjusts the feed formula according to the growth difference degree and monitors the weight gain of the to-be-improved population in real time;

[0011] The improvement demand cycle of the to-be-improved population is predicted according to the weight gain, and the improvement demand cycle is processed in sections to obtain a plurality of check periods, and the growth state of the to-be-improved population is re-evaluated after each check period ends, and the grouping adjustment is performed again until all individuals under the to-be-improved population reach the growth standard of the superior population.

[0012] In a preferred embodiment, the individual physiological parameters include the body weight, diet amount, water intake, activity amount and body temperature of the broiler chickens, the growth environment parameters include the temperature and humidity, light intensity and air quality of the chicken house, and the feed nutrition parameters include the protein and energy content.

[0013] In a preferred embodiment, the step of comparing the individual physiological parameters, the growth environment parameters and the feed nutrition parameters with the historical growth records of the chicken population of the same type and successfully bred, and outputting the growth difference degree between the bred chicken population and the successfully bred chicken population, includes:

[0014] Aligning the individual physiological parameters of the bred chicken population and the successfully bred chicken population according to the same feeding window, wherein the feeding window is a continuous time period;

[0015] Collecting the average value of the individual physiological parameters of the bred chicken population in each feeding window and recording as baseline data;

[0016] Vectorizing the baseline data and the average value of the individual physiological parameters in the corresponding feeding window of the successfully bred chicken population to obtain a baseline growth vector corresponding to the baseline data and a reference growth vector corresponding to the average value of the individual physiological parameters in the corresponding feeding window of the successfully bred chicken population;

[0017] Calculating the similarity between the baseline growth vector and the reference growth vector and outputting it as the growth difference degree between the bred chicken population and the successfully bred chicken population.

[0018] In a preferred embodiment, the step of determining the growth state of the bred chicken population according to the growth difference degree includes:

[0019] Comparing the growth difference degree with a preset growth difference threshold;

[0020] When the growth difference degree is lower than the growth difference threshold, it indicates that the bred chicken population is growing normally, and the current feeding mode is maintained;

[0021] When the growth difference degree is higher than the growth difference threshold, it indicates that there is abnormal growth in the breeding chicken population, and when the growth environment parameters are compared synchronously and there is a difference between the growth environment parameters, the growth environment parameters of the breeding chicken population are adjusted to the level of the successfully bred chicken population, and the growth state is evaluated again;

[0022] If the growth difference degree is still higher than the growth difference threshold after adjusting the growth environment parameters, it is determined that the growth state of the breeding chicken population is abnormal.

[0023] In a preferred embodiment, when the growth state is abnormal, the step of adjusting the breeding chicken population into an optimal growth population and an improved population includes:

[0024] The individual broiler chickens in the breeding chicken population are weighed to obtain the real-time weight of each individual broiler chicken;

[0025] The real-time weight is compared with the historical average weight of the successfully bred chicken population;

[0026] When the real-time weight of the individual broiler chicken is lower than the historical average weight, the corresponding individual broiler chicken is classified into the improved population;

[0027] When the real-time weight of the individual broiler chicken is higher than or equal to the historical average weight, the corresponding individual broiler chicken is classified into the optimal growth population;

[0028] The optimal growth population still needs to be evaluated again for the growth state after the next monitoring period ends.

[0029] In a preferred embodiment, the step of adjusting the feed formula of the improved population according to the growth difference degree includes:

[0030] The nutritional component data in the feed formula of the breeding chicken population is collected and compared with the nutritional component data in the feed formula of the successfully bred chicken population;

[0031] If the comparison result is consistent, the nutritional components of the feed formula are adjusted one by one, and the body weight of the broiler chickens in the improved population is recorded after each adjustment until the body weight reaches the historical average weight level;

[0032] If the comparison result is inconsistent, the feed formula of the breeding chicken population is adjusted to the formula of the successfully bred chicken population, and the body weight change of the broiler chickens in the improved population is continuously monitored;

[0033] After each adjustment of the feed formula, the body weight change trend of the broiler chickens in the improved population is compared with the optimal growth population according to the preset tracking period;

[0034] After the weight change trend of the group of broilers to be improved reaches or exceeds the weight change trend of the superior group, it is determined that the feed formula adjustment is effective, and the group of broilers to be improved is continuously fed with the adjusted feed formula.

[0035] In a preferred embodiment, the step of predicting the improvement requirement period of the group of broilers to be improved according to the weight gain amount comprises:

[0036] The weight of the broilers in the group of broilers to be improved is continuously collected, and the daily weight gain of the broilers is recorded;

[0037] The target weight of the group of broilers to be improved is obtained, and the feeding days required to reach the target weight are calculated in combination with the daily weight gain, and the output is the improvement requirement period;

[0038] The improvement requirement period is compared with the remaining feeding period of the superior group, and the feeding difference days are output;

[0039] The feeding difference days are compared with the preset allowable deviation days, and when the feeding difference days exceed the allowable deviation days, the feed formula is optimized again.

[0040] In a preferred embodiment, the step of segmenting the improvement requirement period to obtain a plurality of check periods comprises:

[0041] The improvement requirement period is divided into a plurality of initial periods according to a preset reference period length;

[0042] After the first initial period ends, the weight of the broilers in the group of broilers to be improved is collected, as well as the weight change trend of the broilers;

[0043] When the weight change trend of the broilers is consistent with that of the superior group, the time length of the initial period is maintained unchanged, and the initial period is used as the check period for the next execution of evaluation;

[0044] When the weight change trend of the broilers is inconsistent with that of the superior group, the time length of the initial period is adjusted in proportion, and is used as the check period for the next execution of evaluation.

[0045] The present application also provides a broiler feeding prediction system based on nutritional requirements, which uses the above-mentioned broiler feeding prediction method based on nutritional requirements, comprising:

[0046] A parameter collection module is configured to obtain individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group within a preset monitoring period;

[0047] A difference evaluation module is configured to compare the individual physiological parameters, growth environment parameters and feed nutritional parameters with the historical growth records of the chicken group of the same type and successfully bred, and output the growth difference between the breeding chicken group and the successfully bred chicken group;

[0048] The grouping module is configured to determine the growth state of the breeding chicken group according to the growth difference degree, and to perform grouping adjustment on the breeding chicken group when the growth state is abnormal, so that the breeding chicken group is divided into a healthy group and an improvement group.

[0049] The scheme allocation module is configured to keep the current feeding mode for the healthy group, and to adjust the feed formula for the improvement group according to the growth difference degree, and to monitor the weight gain of the improvement group in real time.

[0050] The verification module is configured to predict the improvement requirement period of the improvement group according to the weight gain, to perform segmented processing on the improvement requirement period, to obtain a plurality of verification periods, and to reevaluate the growth state of the improvement group at the end of each verification period, and to perform grouping adjustment again until all individuals under the improvement group reach the growth standard of the healthy group.

[0051] And an electronic device, the electronic device comprises:

[0052] At least one processor;

[0053] And a memory connected in communication with the at least one processor;

[0054] Wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the above-mentioned broiler feeding prediction method based on nutritional requirements.

[0055] The technical effects obtained by the present application are:

[0056] The present application realizes accurate prediction and management of broiler feeding by dynamically monitoring the growth parameters of broilers and combining historical successful breeding data. By comparing the growth difference degree between the breeding chicken group and the successfully bred chicken group, growth abnormalities can be found in time and corresponding measures can be taken, effectively reducing the uncertainty in the growth process of broilers. At the same time, by adjusting the feed formula, the broilers can obtain the best nutritional supply, further reducing the growth difference among the broilers. After the feed is adjusted, the weight gain of the improvement group can be tracked in real time to ensure the optimization effect of the feed formula, and through dynamic evaluation of the segmented verification period, the improvement situation can be understood in time and accurately, so as to continuously optimize the feeding strategy and realize the purpose of improving the overall breeding efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 is a method flowchart of the present application;

[0058] Figure 2 is a system module schematic diagram of the present application;

[0059] Figure 3 is a schematic diagram of an electronic device structure of the present application. DETAILED DESCRIPTION

[0060] In order to make the above objectives, characteristics and advantages of the present application more apparent, a detailed description of the specific embodiments of the present application will be given below with reference to the accompanying drawings.

[0061] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details given in this description. In other instances, well-known methods, procedures, components, and circuits have not been described in detail so as not to unnecessarily obscure aspects of the present application.

[0062] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In a preferred embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an embodiment that is independent or alternative to other embodiments.

[0063] Please refer to Figure 1 The present application provides a broiler feeding prediction method based on nutritional requirements, comprising:

[0064] S1, obtaining individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group in a preset monitoring period;

[0065] In the step S1, with the development of the broiler industry, the nutritional matching requirements of broiler feeding are getting higher and higher, so as to ensure the health and high efficiency of the broiler during the growth process. Before the nutritional requirements of the broiler are determined, the individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group need to be collected in a preset monitoring period, so as to provide corresponding pre-data support for subsequent nutritional requirement analysis. The individual physiological parameters include the body weight, diet amount, water amount, activity amount and body temperature of the broiler, and specifically feedback the real-time health status of the breeding chicken group. The growth environment parameters include the temperature and humidity of the henhouse, the light intensity and the air quality, and specifically feedback the suitability of the breeding environment. The feed nutritional parameters include the protein and energy content, and specifically feedback the nutritional components of the feed, so as to ensure that the broiler obtains balanced nutrition.

[0066] S2, comparing the individual physiological parameters, growth environment parameters and feed nutritional parameters with the historical growth records of the chicken group of the same type and successfully bred, and outputting the growth difference between the breeding chicken group and the successfully bred chicken group;

[0067] In the step S2, after the individual physiological parameters, growth environment parameters and feed nutrition parameters of the breeding chicken group are output, a comparison analysis is performed with the historical growth records of the chicken group of the same type and which has been successfully bred. It should be noted that the chicken group which has been successfully bred is a standard chicken group without health problems. By comparing and analyzing the breeding chicken group and the chicken group which has been successfully bred, the growth difference between the breeding chicken group and the chicken group which has been successfully bred can be determined. In the step of outputting the growth difference between the breeding chicken group and the chicken group which has been successfully bred by comparing the individual physiological parameters, growth environment parameters and feed nutrition parameters with the historical growth records of the chicken group of the same type and which has been successfully bred, the following steps are included:

[0068] Aligning the individual physiological parameters of the breeding chicken group and the chicken group which has been successfully bred according to the same feeding window, wherein the feeding window is a continuous time period;

[0069] Collecting the average values of the individual physiological parameters of the breeding chicken group in each feeding window and recording them as reference data;

[0070] Vectorizing the average values of the individual physiological parameters of the breeding chicken group in each feeding window and recording them as reference data;

[0071] Calculating the similarity between the reference growth vector and the reference growth vector and outputting it as the growth difference between the breeding chicken group and the chicken group which has been successfully bred;

[0072] In the above, when determining the growth difference between the breeding chicken group and the chicken group which has been successfully bred, first, the individual physiological parameters of the breeding chicken group and the chicken group which has been successfully bred are aligned in time sequence to ensure the accuracy and reliability of the comparison analysis. Then, the average values of the individual physiological parameters of the breeding chicken group and the chicken group which has been successfully bred are vectorized to obtain the reference growth vector and the reference growth vector. By calculating the similarity between the reference growth vector and the reference growth vector, the growth difference between the breeding chicken group and the chicken group which has been successfully bred can be quantified to provide data support for subsequent management measures. The similarity calculation can use methods such as cosine similarity or Euclidean distance, and the purpose is to quantify the growth difference between the breeding chicken group and the chicken group which has been successfully bred.

[0073] S3, determining the growth state of the breeding chicken group according to the growth difference, and when the growth state is abnormal, adjusting the breeding chicken group by grouping, and dividing the breeding chicken group into an optimal group and a group to be improved;

[0074] In the step S3, after the growth difference degree is determined, the growth state of the breeding chicken group is determined according to the growth difference degree, and the breeding chicken group is grouped according to the growth state. In this embodiment, the breeding chicken group is classified into a good growth group and an improvement group. The step of determining the growth state of the breeding chicken group according to the growth difference degree comprises:

[0075] comparing the growth difference degree with a preset growth difference threshold;

[0076] When the growth difference degree is lower than the growth difference threshold, it indicates that the growth of the breeding chicken group is normal, and the current feeding mode is maintained.

[0077] When the growth difference degree is higher than the growth difference threshold, it indicates that the growth of the breeding chicken group is abnormal, and the growth environment parameters are compared synchronously. When there is a difference between the growth environment parameters, the growth environment parameters of the breeding chicken group are adjusted to the level of the successfully bred chicken group, and the growth state is evaluated again.

[0078] If the growth difference degree is still higher than the growth difference threshold after the adjustment of the growth environment parameters, it is determined that the growth state of the breeding chicken group is abnormal.

[0079] Specifically, when the growth state of the breeding chicken group is determined, the growth difference degree calculated in the step S2 is compared with a preset growth difference threshold. When the growth difference degree is lower than or equal to the growth difference threshold, it indicates that the growth of the breeding chicken group is normal, and the chicken can be normally taken out of the cage without additional intervention. The current feeding mode is maintained for continued feeding. When the growth difference degree is higher than the growth difference threshold, it indicates that the growth of the breeding chicken group is abnormal. The environment parameters are further evaluated to determine whether there is a difference between the growth environment of the breeding chicken group and the growth environment of the successfully bred chicken group. If there is a difference, the growth environment parameters of the breeding chicken group are adjusted, and the growth state of the breeding chicken group is evaluated again. If the evaluation result still shows that the growth difference degree is higher than the growth difference threshold, it is determined that the growth state of the breeding chicken group is abnormal, and the feeding mode needs to be intervened.

[0080] In addition, when the growth state is abnormal, the breeding chicken group is grouped and adjusted, and the step of classifying the breeding chicken group into a good growth group and an improvement group comprises:

[0081] The individual broilers in the breeding chicken group are weighed to obtain the real-time weight of each individual broiler;

[0082] The real-time weight is compared with the historical average weight of the successfully bred chicken group;

[0083] When the real-time weight of the individual broiler is lower than the historical average weight, the corresponding individual broiler is classified into the improvement group.

[0084] When the real-time weight of the broiler individual is higher than or equal to the historical average weight, the corresponding broiler individual is classified into the superior group;

[0085] Wherein, the superior group still needs to be evaluated for the growth state after the end of the next monitoring period;

[0086] Specifically, when the breeding chicken group is grouped, the weight of each broiler individual in the breeding chicken group is weighed one by one to obtain the real-time weight of each broiler individual, and then the real-time weight of each broiler individual is compared with the historical average weight of the successfully bred chicken group, and the groups are divided according to the weight difference, to ensure the accuracy of the division of the superior group and the group to be improved, so as to adjust the feeding strategy of the broilers in the group to be improved, and for the superior group, the growth state is still evaluated after the end of each monitoring period, to ensure that the broilers in the superior group can grow normally.

[0087] S4, the superior group maintains the current feeding mode, and the group to be improved adjusts the feed formula according to the growth difference degree and monitors the weight gain of the group to be improved in real time;

[0088] In the step S4, for the superior group, the current feeding mode is continued to be maintained, to ensure its continuous and stable growth, and for the group to be improved, the feed formula is adjusted according to the growth difference degree, the nutrient intake of the broilers in the group to be improved is increased, and the feed ratio is optimized, and the weight gain of the broilers in the group to be improved is monitored in real time, wherein the step of adjusting the feed formula according to the growth difference degree comprises:

[0089] Collecting the nutrient component data in the feed formula of the breeding chicken group and comparing and analyzing the nutrient component data in the feed formula of the successfully bred chicken group;

[0090] If the comparison result is consistent, the nutrient components of the feed formula are adjusted one by one, and the weight of the broilers in the group to be improved is recorded after each adjustment until the weight reaches the historical average weight level;

[0091] If the comparison result is inconsistent, the feed formula of the breeding chicken group is adjusted to the formula of the successfully bred chicken group, and the weight change of the broilers in the group to be improved is continuously monitored;

[0092] Wherein, after each adjustment of the feed formula, the weight change trend of the broilers in the group to be improved is compared with the superior group according to the preset tracking period;

[0093] After the weight change trend of the broilers in the group to be improved reaches or exceeds the weight change trend of the superior group, it is determined that the adjustment of the feed formula is effective, and the adjusted feed formula is maintained for continuous feeding of the group to be improved;

[0094] Specifically, when adjusting the feed formula of the to-be-improved group, first, the nutritional ingredient data in the feed formula of the breeding chicken group is collected and compared with the feed formula of the successfully bred chicken group. If the nutritional ingredients are consistent, the nutritional ingredients of the current feed formula are adjusted one by one, and the weight change of the to-be-improved group of broilers is recorded after each adjustment, until the weight of the to-be-improved group reaches or approaches the historical average weight level of the successfully bred chicken group. If the comparison result shows that there is a significant difference in the nutritional ingredient data, the feed formula of the breeding chicken group is adjusted to the formula of the successfully bred chicken group, and the weight change of the to-be-improved group of broilers is continuously monitored during this process, and after each adjustment, the weight change trend of the to-be-improved group of broilers is compared with the superior group according to the preset tracking period, until the weight change trend of the to-be-improved group reaches or exceeds the level of the superior group, so as to ensure the effectiveness of the feed formula adjustment.

[0095] S5, predicting the improvement demand period of the to-be-improved group according to the weight gain, and segmenting the improvement demand period to obtain a plurality of check periods, and reevaluating the growth state of the to-be-improved group at the end of each check period, and performing group adjustment again until all individuals in the to-be-improved group reach the growth standard of the superior group;

[0096] In the step S5, during the improvement process of the to-be-improved group, the weight gain of the broilers in the to-be-improved group is continuously monitored, and the improvement demand period of the to-be-improved group is predicted based on the change of the weight gain. In addition, in order to determine the effectiveness of the improvement process, the present embodiment divides the improvement demand period into a plurality of check periods. After the end of each check period, the growth state of the to-be-improved group is reevaluated. This evaluation and adjustment process will continue until all broiler individuals in the to-be-improved group reach the growth standard of the superior group. The step of predicting the improvement demand period of the to-be-improved group according to the weight gain comprises:

[0097] Continuously collecting the body weight of the broilers in the to-be-improved group and recording the daily weight gain of the broilers;

[0098] Obtaining the target breeding weight of the to-be-improved group, and calculating the breeding days required to reach the target weight in combination with the daily weight gain, and outputting the improvement demand period;

[0099] Comparing the improvement demand period with the remaining breeding period of the superior group, and outputting the feeding difference days;

[0100] Comparing the feeding difference days with the preset allowable deviation days, and re-optimizing the feed formula when the feeding difference days exceed the allowable deviation days;

[0101] Specifically, when predicting the improvement demand period, first, the body weight of the broilers in the group to be improved is continuously collected to ensure the accuracy and continuity of the data. By recording the daily growth of the broilers, the growth rate and trend of the group to be improved can be determined. Then, according to the target feeding weight of the group to be improved and the daily growth, the feeding days required to reach the target weight, i.e., the improvement demand period, can be calculated, wherein the feeding days = (target feeding weight - current average weight) / daily growth. In order to evaluate the rationality of the improvement demand period, it is compared with the remaining feeding period of the superior group, and the feeding difference days are obtained, which can reflect the gap in growth progress between the group to be improved and the superior group. When the feeding difference days exceed the preset allowable deviation days, it means that the growth rate of the group to be improved does not meet the expectation, and the feed formula needs to be optimized again to speed up the growth process of the group to be improved. The optimization of the feed formula may involve adjusting the proportion of nutrients such as protein and energy, or introducing new nutrients to meet the special growth needs of the broilers in the group to be improved. Based on this cycle of evaluation and adjustment, the growth status of the group to be improved will be continuously improved until all individuals reach the growth standard of the superior group.

[0102] Secondly, the step of processing the improvement demand period in sections to obtain a plurality of verification periods, comprising:

[0103] dividing the improvement demand period into a plurality of initial periods according to a preset reference period length;

[0104] After the first initial period ends, the body weight of the broilers in the group to be improved and the body weight change trend of the broilers are collected;

[0105] When the body weight change trend of the broilers is consistent with that of the superior group, the time length of the initial period is maintained unchanged, and the initial period is taken as the verification period for the next evaluation;

[0106] When the body weight change trend of the broilers is inconsistent with that of the superior group, the time length of the initial period is adjusted in proportion as the verification period for the next evaluation;

[0107] In this embodiment, when determining the check period, the entire improvement demand period is first divided into multiple initial periods according to a preset reference period length, such as one week or two weeks. After the end of each initial period, the body weight of the broilers in the to-be-improved group and the weight change trend are re-collected to track and evaluate the growth improvement of the to-be-improved group. If the weight change trend of the broilers in the to-be-improved group is consistent with that of the superior group, it means that the current improvement measures are effective, and the time length of the initial period is maintained unchanged and used as the check period for the next evaluation. If the weight change trend of the broilers in the to-be-improved group is inconsistent with that of the superior group, it means that the current improvement measures have problems, and the time length of the initial period is adjusted in proportion, such as being lengthened or shortened, and used as the check period for the next evaluation. In this way, the process of continuously optimizing and cyclically evaluating and adjusting can more accurately optimize the growth improvement process of the to-be-improved group.

[0108] Please refer to Figure 2 , the above-mentioned method for predicting the feeding of broilers based on nutritional needs, comprising:

[0109] a parameter collection module for acquiring individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group within a preset monitoring period;

[0110] a difference evaluation module for comparing the individual physiological parameters, growth environment parameters and feed nutritional parameters with the historical growth records of the chicken group of the same type and successfully bred, and outputting the growth difference between the breeding chicken group and the successfully bred chicken group;

[0111] a grouping module for determining the growth state of the breeding chicken group according to the growth difference, and adjusting the grouping of the breeding chicken group when the growth state is abnormal, so that the breeding chicken group is divided into a superior group and a to-be-improved group;

[0112] a scheme allocation module for maintaining the current feeding method for the superior group, adjusting the feed formula for the to-be-improved group according to the growth difference, and monitoring the weight gain of the to-be-improved group in real time;

[0113] a check module for predicting the improvement demand period of the to-be-improved group according to the weight gain, and processing the improvement demand period in sections to obtain multiple check periods, and re-evaluating the growth state of the to-be-improved group after the end of each check period, and performing grouping adjustment again until all individuals under the to-be-improved group reach the growth standard of the superior group.

[0114] In the above, the parameter collection module is responsible for collecting the key data of the breeding chicken group in real time, including but not limited to the physiological parameters (such as body weight, body size index) of individuals, the growth environment parameters (such as temperature, humidity, light intensity) and the feed nutrition parameters (such as protein, energy, mineral content), the difference evaluation module uses the individual physiological parameters to compare with the historical growth records of the successfully bred chicken group, and quantifies the growth difference between the breeding chicken group and the successfully bred chicken group, the grouping module groups the breeding chicken group according to the growth difference, and the broiler chickens with good growth state are grouped into the good growth group, and the broiler chickens with poor growth state are grouped into the group to be improved, so as to be managed in a targeted manner, the scheme allocation module formulates different feeding strategies for different groups, maintains the status quo for the good growth group, and adjusts the feed formula for the group to be improved, so as to achieve a better growth effect, the verification module predicts the improvement demand period and divides the verification period, and constantly monitors and adjusts the growth state of the group to be improved until all individuals reach the growth standard of the good growth group.

[0115] Please refer to Figure 3 An electronic device, the electronic device comprising:

[0116] at least one processor;

[0117] and a memory connected in communication with the at least one processor;

[0118] wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the above-mentioned broiler feeding prediction method based on nutritional requirements.

[0119] The processor of the above-mentioned electronic device can be a central processing unit (CPU), a graphics processing unit (GPU) or a digital signal processor (DSP), or any conventional processor, which can execute program instructions stored in the memory to realize the functions of the above-mentioned broiler feeding prediction method based on nutritional requirements. In specific implementation, the processor can execute corresponding calculation and control operation by reading the program instructions in the memory, so as to realize the prediction and management of broiler feeding. In addition, the electronic device can also include other components, such as input / output devices, arithmetic units and network interfaces, to support the normal operation and data interaction of the electronic device.

[0120] The above-mentioned is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as the protection scope of the present application. The structures, devices and operation methods not specifically described and explained in the present application, such as without special description and limitation, are implemented according to the conventional means in the art.

Claims

1. A broiler feeding prediction method based on nutritional requirements, characterized by: The method comprises the following steps: acquiring individual physiological parameters, growth environment parameters and feed nutrition parameters of the breeding chicken group in a preset monitoring period; comparing the individual physiological parameters, growth environment parameters and feed nutrition parameters with historical growth records of the same type of chicken group that has been successfully bred, and outputting growth difference between the breeding chicken group and the chicken group that has been successfully bred; determining the growth state of the breeding chicken group according to the growth difference, and when the growth state is abnormal, adjusting the breeding chicken group into an optimal growth group and an improved group; the optimal growth group keeps the current feeding mode, and the improved group adjusts the feed formula according to the growth difference, and monitors the weight gain of the improved group in real time; predicting the improvement requirement period of the improved group according to the weight gain, and processing the improvement requirement period by section to obtain multiple check periods, and re-evaluating the growth state of the improved group after the end of each check period, and performing the group adjustment again until all individuals in the improved group reach the growth standard of the optimal growth group; wherein the step of predicting the improvement requirement period of the improved group according to the weight gain comprises: continuously collecting the body weight of the improved group, and recording the daily weight gain of the improved group; acquiring the target breeding weight of the improved group, and calculating the breeding days required to reach the target weight based on the daily weight gain, and outputting the improvement requirement period; comparing the improvement requirement period with the remaining breeding period of the optimal growth group, and outputting the feeding difference days; comparing the feeding difference days with the preset allowable deviation days, and re-optimizing the feed formula when the feeding difference days exceed the allowable deviation days, and based on the cyclic evaluation and adjustment process, the growth state of the improved group will be continuously improved until all individuals in the improved group reach the growth standard of the optimal growth group; the step of adjusting the breeding chicken group into the optimal growth group and the improved group when the growth state is abnormal comprises: weighing the chicken individuals in the breeding chicken group to obtain the real-time weight of each chicken individual; comparing the real-time weight with the historical average weight of the chicken group that has been successfully bred; when the real-time weight of the chicken individual is lower than the historical average weight, the corresponding chicken individual is classified into the improved group; when the real-time weight of the chicken individual is higher than or equal to the historical average weight, the corresponding chicken individual is classified into the optimal growth group; wherein the optimal growth group still needs to be evaluated again for the growth state after the end of the next monitoring period; the step of adjusting the feed formula of the improved group according to the growth difference comprises: collecting the nutrient composition data in the feed formula of the breeding chicken group, and comparing and analyzing the nutrient composition data in the feed formula of the chicken group that has been successfully bred; if the comparison result is consistent, the nutrient composition of the feed formula is adjusted one by one, and the weight of the chicken in the improved group is recorded after each adjustment until the weight reaches the historical average weight level; if the comparison result is inconsistent, the feed formula of the breeding chicken group is adjusted to the formula of the chicken group that has been successfully bred, and the weight change of the chicken in the improved group is continuously monitored; The body weight change trend of the broilers in the group to be improved is compared with the body weight change trend of the superior group according to a preset tracking period after each adjustment of the feed formula; After the body weight change trend of the broilers in the group to be improved reaches or exceeds the body weight change trend of the superior group, it is determined that the adjustment of the feed formula is effective, and the adjusted feed formula is maintained for continuous feeding of the group to be improved; The step of segmenting the improvement demand period to obtain a plurality of check periods comprises: The improvement demand period is divided into a plurality of initial periods according to a preset reference period length; After the end of the first initial period, the body weight of the broilers in the group to be improved and the body weight change trend of the broilers are collected; When the body weight change trend of the broilers is consistent with that of the superior group, the time length of the initial period is maintained unchanged, and the initial period is taken as a check period for the next evaluation; When the body weight change trend of the broilers is inconsistent with that of the superior group, the time length of the initial period is adjusted in proportion as a check period for the next evaluation, so as to continuously optimize and cyclically evaluate the adjustment process, and more accurately optimize the growth improvement process of the group to be improved.

2. The broiler feed prediction method based on nutritional requirement according to claim 1, characterized in that: The individual physiological parameters include the body weight, diet amount, water amount, activity amount and body temperature of the broilers, the growth environment parameters include the temperature and humidity, light intensity and air quality of the chicken house, and the feed nutrition parameters include the protein and energy content.

3. The broiler feed prediction method based on nutritional requirement according to claim 1, characterized in that: The step of comparing the individual physiological parameters, growth environment parameters and feed nutrition parameters with the historical growth records of the same type of successfully bred chicken group and outputting the growth difference between the bred chicken group and the successfully bred chicken group comprises: The individual physiological parameters of the bred chicken group and the successfully bred chicken group are aligned according to the same feeding window, wherein the feeding window is a continuous time period; The average values of the individual physiological parameters of the bred chicken group in each feeding window are collected and recorded as reference data; The reference data and the average values of the individual physiological parameters in the corresponding feeding window of the successfully bred chicken group are vectorized to obtain a reference growth vector corresponding to the reference data and a reference growth vector corresponding to the average values of the individual physiological parameters in the corresponding feeding window of the successfully bred chicken group; The similarity between the reference growth vector and the reference growth vector is calculated and output as the growth difference between the bred chicken group and the successfully bred chicken group.

4. The broiler feed prediction method based on nutritional requirement according to claim 1, characterized in that: The step of determining the growth state of the bred chicken group according to the growth difference comprises: The growth difference is compared with a preset growth difference threshold value; When the growth difference is lower than the growth difference threshold value, it indicates that the bred chicken group grows normally, and the current feeding mode is maintained; When the growth difference is higher than the growth difference threshold value, it indicates that the bred chicken group has growth abnormalities, and the growth environment parameters of the bred chicken group are adjusted to the level of the successfully bred chicken group when there is a difference between the growth environment parameters, and the growth state is evaluated again; If the growth difference is still higher than the growth difference threshold value after the adjustment of the growth environment parameters, it is determined that the growth state of the bred chicken group is abnormal.

5. A broiler feeding prediction system based on nutritional requirements, characterized by: The method for predicting the feeding of broilers based on nutritional requirements according to any one of claims 1 to 4 comprises: The parameter acquisition module is configured to acquire individual physiological parameters, growth environment parameters, and feed nutrition parameters of the chicken population in a preset monitoring period. The difference evaluation module is configured to compare the individual physiological parameters, the growth environment parameters, and the feed nutrition parameters with historical growth records of a chicken population of the same type and successfully raised, and output a growth difference between the chicken population and the successfully raised chicken population. The grouping module is configured to determine a growth state of the chicken population according to the growth difference, and perform grouping adjustment on the chicken population when the growth state is abnormal, so as to divide the chicken population into a high-growth group and an improved group. The scheme allocation module is configured to maintain a current feeding mode for the high-growth group, adjust a feed formula for the improved group according to the growth difference, and monitor weight gain of the improved group in real time. The verification module is configured to predict an improvement requirement period of the improved group according to the weight gain, perform segmented processing on the improvement requirement period, obtain a plurality of verification time periods, reevaluate the growth state of the improved group at the end of each verification time period, and perform grouping adjustment again until all individuals under the improved group reach the growth standard of the high-growth group.

6. An electronic device, comprising: The electronic device includes: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the broiler feeding prediction method based on nutritional requirements according to any one of claims 1 to 4.

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