2022年-2023年基于物联网的小麦赤霉病自动监测预警系统应用效果评价
Evaluation of the application effect of the automatic monitoring and warning system for Fusarium head blight based on the internet of things in 2022 and 2023
田静 1王强 1周佳 1黄卫利 2胡小平1
作者信息
- 1. 西北农林科技大学植物保护学院,植保资源与病虫害治理教育部重点实验室,农业农村部西北黄土高原作物有害生物综合治理重点实验室,杨凌 712100
- 2. 西安黄氏生物工程有限公司,西安 710065
- 折叠
摘要
2022年和2023年调查了安徽、江苏、湖北、河南和陕西共11个县(市)的小麦赤霉病实际发生情况,通过与小麦赤霉病自动监测预警系统的预测结果相比较,评价了该系统的预测准确度.结果表明,2022年除江苏洪泽外,其余地区预测准确度平均为92.5％;2023年除湖北南漳外,其余地区预测准确度平均为97.5％.2022年和2023年水稻-小麦轮作冬麦区预测准确度分别为100％和95％,玉米-小麦轮作冬麦区预测准确度分别为85％和100％,该系统在水稻-小麦和玉米-小麦轮作冬麦区的预测准确度分别97.5％和92.5％,系统运行稳定,可有效指导小麦赤霉病的防控工作.
Abstract
In 2022 and 2023,an investigation was conducted on the actual occurrence of Fusarium head blight in 11 counties(cities)in Anhui,Jiangsu,Hubei,Henan,and Shaanxi,and the accuracy of the prediction of Fusarium head blight automatic monitoring and warning system was evaluated by comparing with the prediction results of the system.The results showed that in 2022,except for Hongze in Jiangsu,the average prediction accuracy in other areas was 92.5％.In 2023,except for Nanzhang,Hubei,average the prediction accuracy in other regions was 97.5％.The accuracy in winter wheat areas under rice-wheat rotation in 2022 and 2023 was 100％and 95％,respectively,while that under corn-wheat rotation was 85％and 100％,respectively.The prediction accuracy of the system in the rice wheat and corn wheat rotation winter wheat areas was 97.5％and 92.5％,respectively.The system operates stably,which can effectively guide the prevention and control of Fusarium head blight.
关键词
小麦赤霉病/物联网/自动监测预警/准确度评价Key words
Fusarium head blight/internet of things/automatic monitoring and warning system/accuracy e-valuation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据