Method and device for predicting feeding behavior of laying hens based on neural network

Abstract

The invention discloses a method for predicting the feeding behavior of laying hens based on a neural network. The prediction method includes: obtaining a corresponding prediction model based on a preset neural network algorithm; optimizing the prediction model to obtain an optimized model Obtaining the behavioral parameters of the feeding behavior, and processing the behavioral parameters to obtain parameters after processing; combining the parameters after processing with the optimized model to predict the feeding behavior of the laying hens, to Get forecast results. The invention also discloses a neural network-based prediction device for the feeding behavior of laying hens. The daily behavior of laying hens is learned based on the neural network algorithm, and the feeding behavior of laying hens is accurately predicted, so that the precise feeding operation can be carried out according to the feeding requirements of laying hens, which greatly improves the feed utilization rate and reduces the feed consumption. Waste, improve the efficiency of the farm.

Description

technical field [0001] The invention relates to the field of agricultural breeding, in particular to a method for predicting the feeding behavior of laying hens based on a neural network and a device for predicting the feeding behavior of laying hens based on a neural network. Background technique [0002] In human history, poultry, as a species domesticated by humans, has provided a large number of food sources for humans, such as laying hens, which are regarded as supplements in human food, and the growth status of chickens determines the chicken or its output the quality of. The behavior pattern of the chicken is the basis of the abnormal behavior of the laying hen, and the abnormal behavior of the laying hen means that the individual laying hen may have abnormal health and other problems. [0003] The behavior of laying hens includes feed intake, drinking water and exercise, which are important indicators for evaluating the welfare of laying hens. In the traditional do...

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Problems solved by technology

[0005] In order to overcome the technical problems of low feed utilization rate and serious waste caused by the inability to effectively predict the feeding behavior of laying hens in the prior art, the embodiment of the present invention provides a method for predicting the feeding behavior of laying hens based on a neural network and A device for predicting the feeding behavior of laying hens based on neural network, which learns the daily behavior of laying hens based on the neural network algorithm, and accurately predicts the feeding behavior of laying hens, so as to make decisions according to the feeding needs of laying hens. Precise feeding operation greatly improves the utilization rate of feed, reduces waste and improves the efficiency of the farm

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