摘要
针对常见植物病虫害预测方法通用性差,模型难于复用,通过对植物病害数理统计与神经网络预警模型相关原理和方法的研究,利用植物病理预警模型研究的成果,结合历史数据,使用Web Service技术构建并实现了植物病害的动态预警平台。植物病害预警平台可以动态建立不同地区不同作物不同病害的不同类型的预警系统,为农业病害预警预测提供了一种实用的解决方案。
Traditional early warning method for plant pests and diseases has poor generality and the model is difficult to reuse.Through the research of relevant principles and methods of plant diseases mathematical statistics and neural network model,the dynamic early warning platform of plant diseases was built and realized by using Web service technology and historical data and results of early warning model of plant pathology.The early warning platform of plant diseases can dynamically build different types of early warning system to different crops,different regions and diseases.It provides a practical solution for early warning and forecasting of agricultural diseases.
出处
《云南农业大学学报(自然科学版)》
CAS
CSCD
北大核心
2010年第5期686-689,702,共5页
Journal of Yunnan Agricultural University:Natural Science
基金
云南省科技攻关项目(2006NG02)