A real-time prediction system of soil moisture content using genetic neural network based on annealing algorithm

The forecast of soil moisture is the basis of agriculture water-saving irrigation. This paper designs and implements a real-time prediction system of soil moisture based on GPRS and wireless sensor network. Front-end of system uses wireless sensor network to collect moisture data, GPRS network to transmit data; back-end uses genetic BP neural network to analyze and process data, simulated annealing algorithm to optimize result, and gives a real-time prediction. Experimental results show that this system has the advantages of low-cost, high accuracy, convenient maintenance, etc.