用BP神经网络进行作物水分—产量预测研究  

Research on Crop Response to Water Model with BP Neural Network

作　　者：赵慧珍[1] 胡浩云[1] 

机构地区：[1]河北工程学院,河北邯郸056038

出　　处：《华北水利水电学院学报》2006年第2期17-19,共3页North China Institute of Water Conservancy and Hydroelectric Power

摘　　要：根据BP神经网络的基本原理,在平原地区冬小麦灌溉试验资料基础上,建立了冬小麦水分与产量关系的BP-ANN模型,确定了模型的参数.将模型用于描述水分对作物产量的影响,并对作物产量进行预测,预测结果与实际产量基本吻合说明,人工神经网络用于描述作物水分产量关系可以取得较好的效果,其预测的准确性基本能满足生产实践的需求.Based on irrigation experience data in winter wheat in plain district of Hebei province, a model of wheat response to water with BP neural network is established. The result shows that the model is reliable to describe the relationship between yield and water used in wheat. The model is capable of predicting crop yield and the satisfactory forecast precision is obtained. The research indicates that BP neural network is a suitable method to simulate crop response to water.

关 键 词：BP神经网络 作物-水模型 产量预测 

分 类 号：S274.1[农业科学—农业水土工程]