Drip Moisture Prediction of Processing Tomatoes Based on BP Networks
Jing Lin Wen · China Rural Water and Hydropower · 2012
Based on processing tomatoes under drip irrigation automation system of soil moisture forecast problem,in 2011,in the Eighth National Agricultural Science and Technology Park of Xinjiang Production and Construction Corps Agricultural Division,a field experiment was made to forecast soil moisture.Through an observation,the 4-soil volumetric water content and daily average temperature as input are obtained,a short-term prediction model is put forward.The model with two day,one week for the time interval,the automation of processing tomatoes in the drip irrigation system for soil moisture were predicted.The simulation results have shown a good prediction effect.It is feasible that the model is used for processing tomato soil moisture forecast,and it is a simple soil moisture prediction method that can be popularized.