Broiler feeding prediction system and method based on nutritional requirements

Abstract

The invention belongs to the technical field of broiler feeding monitoring, and particularly relates to a broiler feeding prediction system and method based on nutritional requirements. By dynamically monitoring the growth parameters of the broiler chickens and combining historical successful breeding data, accurate prediction and management of broiler chicken breeding are achieved, growth abnormality can be found in time and corresponding measures can be taken by comparing the growth difference between the bred chicken flocks and the successfully bred chicken flocks, the uncertainty in the broiler chicken growth process is effectively reduced, and the breeding efficiency of the broiler chickens is improved. Meanwhile, by adjusting the feed formula, it is ensured that the broiler chickens obtain the optimal nutrition supply, the growth difference between the broiler chickens is further reduced, after feed adjustment, the weight gain condition of the to-be-improved group can be tracked in real time, the optimization effect of the feed formula is ensured, and by means of dynamic evaluation of sectioned verification time periods, the quality of the broiler chickens is improved. The improvement condition can be timely and accurately known, so that the feeding strategy is continuously optimized, and the purpose of improving the overall breeding efficiency is achieved.

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 been widely used in the breeding industry. Compared with the traditional broiler feeding method, it not only improves the feeding efficiency, but also accurately adjusts the feed ratio, reduces resource waste, improves the quality of broilers, realizes scientific and intelligent breeding management, and achieves the purpose of reducing breeding cost. The integration of information technology makes the broiler feeding process more refined, 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: The broiler feeding prediction method based on nutritional requirements comprises: Obtaining individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group in a preset monitoring period; 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 degree between the breeding chicken group and the successfully bred chicken group; Determining the growth state of the breeding chicken group according to the growth difference degree, and when the growth state is abnormal, adjusting the breeding chicken group, and dividing the breeding chicken group into an optimal growth group and an improved group; The optimal growth group maintains the current feeding mode, the improved group adjusts the feed formula according to the growth difference degree, and monitors the weight gain of the improved group in real time; The improvement demand cycle of the group to be improved is predicted based on the weight gain, and the improvement demand cycle is segmented to obtain multiple verification periods. After each verification period, the growth status of the group to be improved is re-evaluated, and the grouping adjustment is performed again until all individuals in the group to be improved reach the growth standard of the eugenics group.

[0006] In a preferred embodiment, the individual physiological parameters include the broiler's weight, food intake, water intake, activity level and body temperature; the growth environment parameters include the temperature and humidity of the chicken house, light intensity and air quality; and the feed nutritional parameters include protein and energy content.

[0007] In a preferred embodiment, the step of comparing individual physiological parameters, growth environment parameters, and feed nutritional parameters with historical growth records of similar and successfully farmed chickens, and outputting the growth difference between the farmed chickens and the successfully farmed chickens, comprises: Aligning individual physiological parameters of the breeding flock and the successfully farmed flock according to the same feeding window, where the feeding window is a continuous time period; Collect the average values ​​of individual physiological parameters of the chickens in each feeding window and record them as baseline data; Vectorizing the average values ​​of individual physiological parameters within the feeding window corresponding to the baseline data and the successfully raised chicken flocks to obtain a baseline growth vector corresponding to the baseline data and a reference growth vector corresponding to the average values ​​of individual physiological parameters within the feeding window corresponding to the successfully raised chicken flocks; The similarity between the baseline growth vector and the reference growth vector is calculated and output as the growth difference between the breeding flock and the successfully breeding flock.

[0008] In a preferred embodiment, the step of determining the growth status of the chickens in the breeding flock according to the growth difference comprises: comparing the growth difference with a preset growth difference threshold; When the growth difference is lower than the growth difference threshold, it indicates that the chickens are growing normally and the current feeding method should be maintained; When the growth difference is higher than the growth difference threshold, it indicates that there is growth abnormality in the breeding chickens, and the growth environment parameters are compared simultaneously. If there is a difference between the growth environment parameters, the growth environment parameters of the breeding chickens are adjusted to the level of the successfully bred chickens, and the growth status is evaluated again; If the growth difference is still higher than the growth difference threshold after the growth environment parameters are adjusted, it is determined that the growth status of the breeding chicken flock is abnormal.

[0009] In a preferred embodiment, when the growth state is abnormal, the step of adjusting the breeding chickens into groups and dividing the breeding chickens into a superior group and a group to be improved comprises: weighting the individual broiler chickens in the breeding chicken group to obtain real-time weights of the individual broiler chickens; comparing the real-time weights with historical average weights of the successfully bred chicken group; 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 to-be-improved group; 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 superior group; wherein the superior group still needs to be evaluated for growth state after the next monitoring period ends.

[0010] In a preferred embodiment, the step of adjusting the feed formula according to the growth difference degree for the to-be-improved group comprises: collecting nutritional component data in the feed formula of the breeding chicken group and comparing and analyzing the nutritional component data with the feed formula of the successfully bred chicken group; 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 chicken in the to-be-improved group is recorded after each adjustment until the body 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 successfully bred chicken group, and the body weight change of the broiler chicken in the to-be-improved group is continuously monitored; wherein after each adjustment of the feed formula, the body weight change trend of the broiler chicken in the to-be-improved group is compared with the superior group according to a preset tracking period; after the body weight change trend of the broiler chicken in the to-be-improved group 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 to-be-improved group is continuously fed with the adjusted feed formula.

[0011] In a preferred embodiment, the step of predicting the improvement requirement period of the to-be-improved group according to the weight gain amount comprises: continuously collecting the body weight of the broiler chicken in the to-be-improved group and recording the daily weight gain amount of the broiler chicken; 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 amount, and outputting the improvement requirement period; comparing the improvement requirement period with the remaining breeding period of the superior group to output the breeding difference days; comparing the breeding difference days with a preset allowable deviation days, and re-optimizing the feed formula when the breeding difference days exceeds the allowable deviation days.

[0012] In a preferred embodiment, the step of segmenting the improvement requirement period to obtain a plurality of verification periods comprises: Divide the improved demand cycle into multiple initial periods according to a preset reference cycle length; After the end of the first initial period, collect the body weight of the broiler chickens in the to-be-improved group, and the body weight change trend of the broiler chickens; When the body weight change trend of the broiler chickens is consistent with the superior group, the time length of the initial period is maintained unchanged, and the initial period is used as a verification period for the next evaluation; When the body weight change trend of the broiler chickens is inconsistent with the superior group, the time length of the initial period is adjusted in proportion, and the initial period is used as a verification period for the next evaluation.

[0013] The application also provides a broiler chicken feeding prediction system based on nutritional requirements, which uses the above-mentioned broiler chicken feeding prediction method based on nutritional requirements, comprising: A parameter acquisition module is configured to acquire individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group within a preset monitoring period; 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; A grouping module is configured to determine the growth state of the breeding chicken group according to the growth difference, and when the growth state is abnormal, the breeding chicken group is adjusted for grouping, and the breeding chicken group is divided into a superior group and a to-be-improved group; A scheme allocation module is configured to maintain the current feeding mode for the superior group, adjust the feed formula for the to-be-improved group according to the growth difference, and monitor the weight gain of the to-be-improved group in real time; A verification module is configured to predict the improvement demand cycle of the to-be-improved group according to the weight gain, and perform segmented processing on the improvement demand cycle to obtain multiple verification periods, and reevaluate the growth state of the to-be-improved group after the end of each verification period, and perform grouping adjustment again until all individuals under the to-be-improved group reach the growth standard of the superior group.

[0014] And an electronic device, the electronic device comprises: At least one processor; And a memory connected with the at least one processor in communication; Wherein, the memory stores a computer program which can be executed 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 chicken feeding prediction method based on nutritional requirements.

[0015] The application achieves the following technical effects: The application realizes accurate prediction and management of broiler feeding by dynamically monitoring the growth parameters of broilers, combining historical successful breeding data, and comparing the growth difference between the breeding chicken group and the successfully bred chicken group, so as to timely find growth abnormalities and take corresponding measures, effectively reducing the uncertainty in the growth process of broilers. At the same time, by adjusting the feed formula, the best nutrition supply for broilers is ensured, further reducing the growth difference among broilers, and after feed adjustment, the weight gain of the group to be improved can be tracked in real time to ensure the optimization effect of the feed formula, and through dynamic evaluation of the partition verification period, the improvement 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

[0016] Figure 1 is a method flowchart of the application; Figure 2 is a system module schematic diagram of the application; Figure 3 is an electronic device structure schematic diagram of the application. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned purposes, features and advantages of the application more obvious and easy to understand, the specific embodiments of the application will be described in detail below with reference to the accompanying drawings.

[0018] In the following description, many specific details are set forth in order to provide a thorough understanding of the application, but the application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the concept of the application, therefore the application is not limited to the specific embodiments disclosed below.

[0019] 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 application. In this specification, "in a preferred embodiment" does not mean the same embodiment, nor is it an independent or optional embodiment that excludes other embodiments.

[0020] Please refer to Figure 1 The application provides a broiler feeding prediction method based on nutritional needs, which comprises: S1, obtaining individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chicken group in a preset monitoring period; In the step S1, with the development of the broiler industry, the nutritional matching requirements for broiler feeding are getting higher and higher to ensure the health and efficiency of broiler growth. Before the nutritional needs of broilers are determined, individual physiological parameters, growth environment parameters and feed nutrition parameters of the breeding chicken population are collected within a preset monitoring period to provide corresponding pre-data support for subsequent nutritional demand analysis. The individual physiological parameters include the body weight, diet amount, water amount, activity amount and body temperature of the broiler, and specifically reflect the real-time health status of the breeding chicken population. The growth environment parameters include the temperature and humidity of the chicken house, light intensity and air quality, and specifically reflect the suitability of the breeding environment. The feed nutrition parameters include the protein and energy content, and specifically reflect the nutritional composition of the feed to ensure that the broiler obtains balanced nutrition.

[0021] S2, 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 population, and outputting the growth difference between the breeding chicken population and the successfully bred chicken population; In the step S2, after the individual physiological parameters, growth environment parameters and feed nutrition parameters of the breeding chicken population are output, they are compared and analyzed with the historical growth records of the same type of successfully bred chicken population. It should be noted that the successfully bred chicken population is a standard chicken population without health problems. By comparing and analyzing the breeding chicken population with the successfully bred chicken population, the growth difference between the two can be determined. 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 population to output the growth difference between the breeding chicken population and the successfully bred chicken population includes: Aligning the individual physiological parameters of the breeding chicken population and the successfully bred chicken population according to the same feeding window, wherein the feeding window is a continuous time period; Collecting the average values of the individual physiological parameters of the breeding chicken population in each feeding window and recording them as baseline data; Vectorizing the baseline data and the average values of the individual physiological parameters of the successfully bred chicken population in the corresponding feeding window to obtain a baseline growth vector corresponding to the baseline data and a reference growth vector corresponding to the average values of the individual physiological parameters of the successfully bred chicken population in the corresponding feeding window; Calculating the similarity between the baseline growth vector and the reference growth vector and outputting it as the growth difference between the breeding chicken population and the successfully bred chicken population; In the above, when determining the growth difference between the breeding chicken group and the successfully bred chicken group, first, the individual physiological parameters of the breeding chicken group and the successfully bred chicken group are aligned in time sequence to ensure the accuracy and reliability of the comparative analysis, and then the individual physiological parameter averages of the breeding chicken group and the successfully bred chicken group are vectorized to obtain a reference growth vector and a 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 successfully bred chicken group can be quantified to provide data support for subsequent management measures. The similarity calculation can use cosine similarity or Euclidean distance, etc. The purpose is to quantify the growth difference between the breeding chicken group and the successfully bred chicken group.

[0022] S3, according to the growth difference, determine the growth state of the breeding chicken group, and when the growth state is abnormal, adjust the breeding chicken group, and divide the breeding chicken group into an optimal growth group and an improved group; In the step S3, after the growth difference is determined, the growth state of the breeding chicken group is determined according to the growth difference, and the breeding chicken group is divided according to the different growth states. The embodiment specifically classifies the breeding chicken group into an optimal growth group and an improved group. The step of determining the growth state of the breeding chicken group according to the growth difference comprises: Compare the growth difference with a preset growth difference threshold; When the growth difference is lower than the growth difference threshold, it indicates that the breeding chicken group grows normally, and the current feeding mode is maintained; When the growth difference is higher than the growth difference threshold, it indicates that the breeding chicken group has growth abnormalities, and the growth environment parameters are compared synchronously, and 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; If the growth difference 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 group is abnormal; Specifically, in determining the growth state of the breeding chicken group, the growth difference degree calculated in step S2 is compared with the preset growth difference threshold. When the growth difference degree is lower than or equal to the growth difference threshold, it indicates that the growth state of the breeding chicken group is normal, and the chickens can be normally taken out of the cage without taking additional intervention measures, and the current feeding mode is maintained for continuous feeding. When the growth difference degree is higher than the growth difference threshold, it indicates that the breeding chicken group has growth problems. At this time, the environmental 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 re-evaluated. 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.

[0023] In addition, when the growth state is abnormal, the breeding chicken group is divided into a good growth group and an improved group. The step of dividing the breeding chicken group into a good growth group and an improved group includes: The individual broiler chickens in the breeding chicken group are weighed to obtain the real-time weight of each individual broiler chicken; The real-time weight is compared with the historical average weight of the successfully bred chicken group; 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 group; 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 good growth group; The good growth group still needs to be evaluated for the growth state again after the next monitoring period ends. Specifically, when the breeding chicken group is divided, the individual broiler chickens in the breeding chicken group are weighed one by one to obtain the real-time weight of each individual broiler chicken. Then, the real-time weight of each individual broiler chicken is compared with the historical average weight of the successfully bred chicken group. The groups are divided according to the weight difference to ensure the accuracy of the division of the good growth group and the improved group, so as to adjust the feeding strategy of the broiler chickens in the improved group. For the good growth group, the growth state is still evaluated after each monitoring period ends to ensure that the broiler chickens in the good growth group can grow normally.

[0024] S4, the good growth group maintains the current feeding mode, the improved group adjusts the feed formula according to the growth difference degree, and the weight gain of the improved group is monitored in real time; In the step S4, for the good-for-breed group, the current feeding mode is kept unchanged 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 to increase the nutrient intake of the broilers in the group to be improved, optimize the feed ratio, and meanwhile, the weight gain of the broilers in the group to be improved is monitored in real time. The step of adjusting the feed formula of the group to be improved according to the growth difference degree comprises the following steps: The nutritional component data in the feed formula of the breeding chicken group is collected and compared with the nutritional component data in the feed formula of the successfully bred chicken group; If the comparison result is consistent, the nutritional components of the feed formula are adjusted one by one, and the body weight of the broilers in the group to be improved is recorded after each adjustment until the body weight reaches the historical average body weight level; 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 body weight change of the broilers in the group to be improved is continuously monitored; After each adjustment of the feed formula, the body weight change trend of the broilers in the group to be improved is compared with that of the good-for-breed group according to a preset tracking period; After the body weight change trend of the broilers in the group to be improved reaches or exceeds that of the good-for-breed 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; Specifically, when adjusting the feed formula of the group to be improved, first, the nutritional component 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 components are consistent, the nutritional components of the current feed formula are adjusted one by one, and the body weight change of the broilers in the group to be improved is recorded after each adjustment until the body weight of the group to be improved reaches or approaches the historical average body weight level of the successfully bred chicken group. If the comparison result shows that there is a significant difference in the nutritional component data, the feed formula of the breeding chicken group is adjusted to the formula of the successfully bred chicken group, and the body weight change of the broilers in the group to be improved is continuously monitored in this process. After each adjustment, the body weight change trend of the broilers in the group to be improved is compared with that of the good-for-breed group according to a preset tracking period, until the body weight change trend of the group to be improved reaches or exceeds that of the good-for-breed group, so as to ensure the effectiveness of the adjustment of the feed formula.

[0025] S5, predicting the improvement requirement period of the group to be improved according to the weight gain, and processing the improvement requirement period by section to obtain a plurality of check periods, and reevaluating the growth state of the group to be improved and performing group adjustment again at the end of each check period until all individuals under the group to be improved reach the growth standard of the good-for-breed group; 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 improvement demand period is divided into multiple check periods in the embodiment, and after the end of each check period, the growth state of the to-be-improved group is re-evaluated. This evaluation and adjustment process continues until all the 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 based on the weight gain includes: continuously collecting the body weight of the broilers in the to-be-improved group, and recording the daily weight gain of the broilers; obtaining the target feeding weight of the to-be-improved group, and calculating the feeding days required to reach the target weight based on the daily weight gain, and outputting the improvement demand period; comparing the improvement demand period with the remaining feeding period of the superior 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 exceeds the allowable deviation days; Specifically, when predicting the improvement demand period, the body weight of the broilers in the to-be-improved group is continuously collected to ensure the accuracy and continuity of the data. By recording the daily weight gain of the broilers, the growth rate and trend of the to-be-improved group can be determined. Then, based on the target feeding weight of the to-be-improved group, the feeding days required to reach the target weight are calculated based on the daily weight gain, i.e. the improvement demand period, wherein the feeding days = (target feeding weight - current average weight) / daily weight gain. In order to evaluate the rationality of the improvement demand period, it is compared with the remaining feeding period of the superior group to obtain the feeding difference days, which can reflect the gap between the to-be-improved group and the superior group in terms of growth progress. When the feeding difference days exceeds the preset allowable deviation days, it indicates that the growth rate of the to-be-improved group does not meet the expectation, and the feed formula needs to be re-optimized to accelerate the growth process of the to-be-improved group. 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 to-be-improved group. Based on this cyclic evaluation and adjustment process, the growth state of the to-be-improved group will be continuously improved until all the individuals in the to-be-improved group reach the growth standard of the superior group.

[0026] Secondly, the step of dividing the improvement demand period into multiple check periods includes: dividing the improvement demand period into multiple initial periods according to a preset reference period length; after the end of the first initial period, collecting the body weight of the broilers in the to-be-improved group and the weight change trend of the broilers; When the weight change trend of the broiler chickens is consistent with the superior group, the length of the initial period is maintained, and the initial period is used as the check period for the next evaluation; When the weight change trend of the broiler chickens is inconsistent with the superior group, the length of the initial period is adjusted in proportion, which is used as the check period for the next evaluation; In this embodiment, when determining the check period, the entire improvement requirement 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 weight of the broiler chickens in the group to be improved and the weight change trend are re-collected to track and evaluate the growth improvement of the group to be improved. If the weight change trend of the broiler chickens in the group to be improved is consistent with that of the superior group, it means that the current improvement measures are effective, and the length of the initial period is maintained, which is used as the check period for the next evaluation. If the weight change trend of the broiler chickens in the group to be improved is inconsistent with that of the superior group, it means that the current improvement measures have problems, and the length of the initial period is adjusted in proportion, such as being lengthened or shortened, which is 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 group to be improved.

[0027] Please refer to Figure 2 , the broiler chicken feeding prediction system based on nutritional requirements, the broiler chicken feeding prediction method based on nutritional requirements, comprising: a parameter collection module for acquiring individual physiological parameters, growth environment parameters, and feed nutritional parameters of the chicken group in a preset monitoring period; a difference evaluation module for comparing the individual physiological parameters, the growth environment parameters, and the 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 chicken group and the successfully bred chicken group; a grouping module for determining the growth state of the chicken group according to the growth difference, and adjusting the grouping of the chicken group when the growth state is abnormal, so that the chicken group is divided into a superior group and a group to be improved; a scheme allocation module for maintaining the current feeding method for the superior group, adjusting the feed formula for the group to be improved according to the growth difference, and monitoring the weight gain of the group to be improved in real time; a check module for predicting the improvement requirement period of the group to be improved according to the weight gain, and processing the improvement requirement period in sections to obtain multiple check periods, and re-evaluating the growth state of the group to be improved after the end of each check period, and performing grouping adjustment again until all individuals under the group to be improved reach the growth standard of the superior group.

[0028] 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.

[0029] Please refer to Figure 3 An electronic device, the electronic device comprising: 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 perform the above-mentioned broiler feeding prediction method based on nutritional requirements.

[0030] 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 and output devices, arithmetic units and network interfaces, to support the normal operation and data interaction of the electronic device.

[0031] 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: include: Obtain individual physiological parameters, growth environment parameters and feed nutritional parameters of the chickens within a preset monitoring period; Compare individual physiological parameters, growth environment parameters, and feed nutritional parameters with the historical growth records of similar and successfully farmed chickens, and output the growth difference between the farmed chickens and the successfully farmed chickens; Determine the growth status of the chickens in the breeding flock according to the growth difference, and when the growth status is abnormal, adjust the breeding flocks into groups, and divide the breeding flocks into the superior group and the group to be improved; The superior group maintains the current feeding method, while the group to be improved adjusts the feed formula according to the growth difference, and monitors the weight gain of the group to be improved in real time; The improvement cycle of the group to be improved is predicted based on the weight gain, and the improvement cycle is segmented to obtain multiple verification periods. After each verification period, the growth status of the group to be improved is re-evaluated, and the grouping adjustment is performed again until all individuals in the group to be improved meet the growth standards of the eugenic group; The step of predicting the improvement demand cycle of the group to be improved based on the weight gain includes: Continuously collect the weight of broilers in the group to be improved and record the daily increase in broiler weight; Obtain the target feeding weight of the group to be improved, and calculate the number of feeding days required to reach the target weight based on the daily growth rate, and output the improvement requirement cycle; Compare the improvement demand cycle with the remaining feeding cycle of the eugenics group and output the feeding difference days; The feeding difference days are compared with the preset allowable deviation days, and when the feeding difference days exceeds the allowable deviation days, the feed formula is optimized again.

2. The broiler feeding prediction method based on nutritional requirements according to claim 1, characterized in that: The individual physiological parameters include the broiler's weight, food intake, water intake, activity level and body temperature; the growth environment parameters include the temperature and humidity of the chicken house, light intensity and air quality; and the feed nutritional parameters include protein and energy content.

3. The broiler feeding prediction method based on nutritional requirements according to claim 1, wherein: The step of comparing individual physiological parameters, growth environment parameters, and feed nutritional parameters with historical growth records of similar and successfully farmed chickens, and outputting the growth difference between the farmed chickens and the successfully farmed chickens, includes: Aligning individual physiological parameters of the breeding flock and the successfully farmed flock according to the same feeding window, where the feeding window is a continuous time period; Collect the average values ​​of individual physiological parameters of the chickens in each feeding window and record them as baseline data; Vectorizing the average values ​​of individual physiological parameters within the feeding window corresponding to the baseline data and the successfully raised chicken flocks to obtain a baseline growth vector corresponding to the baseline data and a reference growth vector corresponding to the average values ​​of individual physiological parameters within the feeding window corresponding to the successfully raised chicken flocks; The similarity between the baseline growth vector and the reference growth vector is calculated and output as the growth difference between the breeding flock and the successfully breeding flock.

4. The broiler feeding prediction method based on nutritional requirements according to claim 1, wherein: The step of determining the growth status of the chicken flock according to the growth difference comprises: comparing the growth difference with a preset growth difference threshold; When the growth difference is lower than the growth difference threshold, it indicates that the chickens are growing normally and the current feeding method should be maintained; When the growth difference is higher than the growth difference threshold, it indicates that there is growth abnormality in the breeding chickens, and the growth environment parameters are compared simultaneously. If there is a difference between the growth environment parameters, the growth environment parameters of the breeding chickens are adjusted to the level of the successfully bred chickens, and the growth status is evaluated again; If the growth difference is still higher than the growth difference threshold after the growth environment parameters are adjusted, it is determined that the growth status of the breeding chicken flock is abnormal.

5. The broiler feeding prediction method based on nutritional requirements according to claim 1, wherein: When the growth state is abnormal, the step of dividing the chicken flock into groups and dividing the chicken flock into a superior group and a group to be improved comprises: Weigh the broiler chickens in the chicken flock to obtain the real-time weight of each broiler chicken; Compare real-time weights to historical average weights of successfully farmed flocks; When the real-time weight of individual broilers is lower than the historical average weight, the corresponding broilers will be classified into the group to be improved; When the real-time weight of individual broilers is higher than or equal to the historical average weight, the corresponding broilers will be classified into the eugenics group; Among them, the eugenics group still needs to undergo another growth status assessment after the next monitoring cycle.

6. The broiler feeding prediction method based on nutritional requirements according to claim 1, characterized in that: The step of adjusting the feed formula of the group to be improved according to the growth difference comprises: Collect the nutritional data in the feed formula of the breeding chicken flocks and compare and analyze the nutritional data of the feed formula of the successfully breeding chicken flocks; If the comparison results are consistent, the nutritional components of the feed formula will be adjusted one by one, and the weight of the broilers in the group to be improved will be recorded after each adjustment until the weight reaches the historical average weight level; If the comparison results are inconsistent, the feed formula of the breeding flock will be adjusted to the formula of the successfully breeding flock, and the weight changes of the broilers in the flock to be improved will be continuously monitored; Among them, after each adjustment of the feed formula, the weight change trend of broilers in the group to be improved is compared with that of the superior group according to the preset tracking period; 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, the feed formula adjustment is determined to be effective, and the adjusted feed formula is maintained for continuous feeding of the group to be improved.

7. The broiler feeding prediction method based on nutritional requirements according to claim 1, characterized in that: The step of segmenting the improvement demand cycle to obtain multiple verification time periods includes: Divide the improvement demand cycle into multiple initial periods according to the preset baseline cycle length; After the first initial period, the broiler body weights of the group to be improved and the body weight change trend of the broiler body weights were collected; When the weight change trend of broiler chickens is consistent with that of the superior group, the length of the initial period is maintained unchanged and the initial period is used as the calibration period for the next assessment; When the weight change trend of broiler chickens is inconsistent with that of the superior group, the length of the initial period is adjusted proportionally as the verification period for the next evaluation.

8. A broiler feeding prediction system based on nutritional requirements, characterized by: The method for predicting broiler feeding based on nutritional requirements according to any one of claims 1 to 7 comprises: Parameter acquisition module, used to obtain individual physiological parameters, growth environment parameters and feed nutritional parameters of the breeding chickens within a preset monitoring period; The difference assessment module is used to compare individual physiological parameters, growth environment parameters and feed nutritional parameters with the historical growth records of the same type of successfully farmed chickens, and output the growth difference between the farmed chickens and the successfully farmed chickens; The grouping module is used to determine the growth status of the breeding chickens according to the growth difference. When the growth status is abnormal, the breeding chickens are grouped and adjusted to divide the breeding chickens into the superior group and the group to be improved. The program allocation module is used to maintain the current feeding method for the superior group, adjust the feed formula for the group to be improved according to the growth difference, and monitor the weight gain of the group to be improved in real time; The verification module is used to predict the improvement demand cycle of the group to be improved based on the weight gain, and to segment the improvement demand cycle to obtain multiple verification periods. After each verification period, the growth status of the group to be improved is re-evaluated, and the grouping adjustment is performed again until all individuals in the group to be improved meet the growth standards of the eugenics group.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the broiler feeding prediction method based on nutritional needs as described in any one of claims 1 to 7.

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