DESIGNING AN INTELLIGENT IRRIGATION SYSTEM BY USING BACKPROPAGATION NEURAL NETWORK TO PREDICT WATER DEMAND
DOI : https://doi.org/10.35633/inmateh-67-51
To realize the real-time remote monitoring of the jujube orchard environment and the prediction of irrigation amount, an intelligent irrigation system was designed in this study by using sensors, Internet of Things (IoT), and backpropagation (BP) neural network. In this system, the jujube tree is taken as the test object, the meteorological data are used as the model feature input vector, the BP neural network prediction model is used to predict the water demand of the crop, and data visualization monitoring and remote control of the irrigation switch are realized using the IoT platform and mobile terminal platform.
Abstract in Chinese