文献类型：会议论文

英文题名：A neural network model for predicting cotton yields

作者：Zhang, Jun;Wang, Yiming[1];Li, Jinping;Yang, Ping

通讯作者：Wang, YM[1]

机构：[1]China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China; Beijing Union Univ, Coll Informat, Beijing 100101, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), China Agr Univ, Coll Informat & Elect Engn, POB 63,17 Tsinghua E Rd, Beijing 100083, Peoples R China.

会议论文集：1st International Conference on Computer and Computing Technologies in Agriculture (CCTA 2007)

会议日期：AUG 18-20, 2007

会议地点：Wuyishan, PEOPLES R CHINA

语种：英文

外文关键词：artificial neural network; precision farming; cotton yield

摘要：Predicting a realistic target yield is one of the critical problems in precision farming. An artificial neural network was employed to model the nonlinear relationship between cotton yield and the factors influencing yield. Using six-year field data obtained from LuoYang Dry Land Research Center, the neural network model was developed and trained, and the RMSE for test data was 3.70%. The results indicate that the neural network model is a superior methodology for accurately setting cotton yields.