Research on the Precise Feeding Amount of Procambarus Clarkii Based on Statistical Analysis and Machine Learning
In order to achieve green and refined healthy farming,enhance farming efficiency and economic benefits,a feed preci-sion feeding model was designed based on the growth model of Procambarus clarkii.The environmental factors that have the great-est influence on the growth and development of Procambarus clarkii were screened out by grey relational analysis,and then the growth model of Procambarus clarkii was optimized and fitted from both linear and exponential angles.Based on the environmen-tal parameters such as water temperature,pH value and dissolved oxygen collected by sensors in real time,RBF neural network is used to train the precise feeding prediction model,and the best comprehensive environmental impact factor value is obtained.Based on the mortality rate of Procambarus clarkii under different water temperature and pH conditions,as well as other known aquaculture conditions,the precise feeding amount can be calculated using a precise feeding prediction model for Procambarus clarkii,thereby improving the economic benefits of aquaculture.
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