Prediction and Analysis of Water Requirement for Strawberry Growth

Abstract

With the rapid development of artificial neural network, its application in agricultural Internet of Things has become more and more widespread. In this paper, the effects of temperature, humidity and light intensity on water requirement of strawberry growth were analyzed. Temperature includes soil temperature and air temperature, and humidity includes soil humidity and air humidity. The BP neural network is optimized based on genetic algorithm, and the network topology is 5-11-1. Then the algorithm model is realized by using MATLAB. After verification, the predicted value of the model is basically consistent with the actual value of strawberry water demand, and the absolute error is within (0,0.18), which is a reasonable range.