文献类型：期刊文献

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

作者：Zhang, Jun[1]; Wang, Yiming[2]; Li, Jinping[1]; Yang, Ping[1]

通讯作者：Wang, Yiming

机构：[1] College of Information, Beijing Union University, Beijing, 100101, China; [2] College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China

第一机构：北京联合大学智慧城市学院

年份：2008

卷号：259

起止页码：1321-1322

外文期刊名：IFIP Advances in Information and Communication Technology

收录：EI(收录号：20152400936765)

语种：英文

外文关键词：Neural networks

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 sixyear 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. ? 2008, Springer New York LLC. All rights reserved.