摘要
病虫害现已成为水稻产量的最大制约因素之一,传统的植保技术主要依靠植保人员的视觉和经验,存在一定的主观性,且费时费力,难以满足大范围的实时监测需要。遥感技术的发展提供了一种大面积、全天候、多方位的数据快速获取手段,能够为病虫害的识别分类提供作物种植信息和环境信息,是实现对水稻病虫害进行大面积监测预测的重要手段。在阐述水稻病虫害遥感监测和预测机理的基础上,重点从多尺度遥感监测方法、预测方法、水稻病虫害监测与预测模型构建以及监测预测系统等多方面概述了水稻病虫害监测与预测的研究进展,并指出目前水稻病虫害监测与预测研究存在的问题及未来发展趋势。随着信息化农业的发展与多源数据的融合运用,趋向于精准化与智能化的水稻病虫害遥感监测与预测,将会越来越成熟。
Diseases and pests have become one of the biggest constraints on rice yield.Traditional plant protection technology mainly relies on the vision and experience of plant protection personnel,which is subjective,time-consuming and laborious,and difficult to meet the needs of large-scale real-time monitoring.The development of remote sensing technology provides a large-area,all-weather,multi-directional data acquisition method,which can provide crop and environmental information for the identification and classification of diseases and pests,it is an important means to monitor and forecast rice diseases and pests in a large area.On the basis of expounding the mechanism of remote sensing monitoring and prediction of rice diseases and pests,this paper summarizes the research progress of rice diseases and pests monitoring and prediction from many aspects,such as multi-scale remote sensing monitoring method,forecasting method,construction of rice disease and pest monitoring and prediction models,monitoring and forecasting system,etc.,the existing problems and future development trends of rice disease and pest monitoring and prediction are prospected.With the development of information agriculture and the fusion of multi-source data,the accurate and intelligent remote sensing monitoring and forecasting of rice diseases and pests will become more and more mature.
作者
袁德宝
张冰瑞
叶回春
黄文江
郑琼
郭安廷
段艳慧
黄珊瑜
YUAN Debao;ZHANG Bingrui;YE Huichun;HUANG Wenjiang;ZHENG Qiong;GUO Anting;DUAN Yanhui;HUANG Shanyu(College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China;Hainan Institute,Institute of Aerospace Information Research,Chinese Academy of Sciences,Sanya 572029,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Changsha University of Science and Technology,Coellece of Transportation Engineering,Changsha 410114,China;Academy of Agricultural Planning and Engineering,MARA.Beijing 1000125,China)
出处
《遥感技术与应用》
CSCD
北大核心
2023年第1期97-107,共11页
Remote Sensing Technology and Application
基金
2019年海南省基础与应用基础研究计划(自然科学领域)高层次人才项目(2019RC363)
国家自然科学基金项目(52174160、42001384)
三亚市农业科技创新项目(2019NK17)
中国科学院青年创新促进会项目资助(2021119)。
关键词
水稻病虫害
遥感监测
遥感预测
方法与模型
Rice diseases and pests
Remote sensing monitoring
Forecasting
Methods and models
