农林草病虫害数字化精准监测预警技术体系构建与应用OA

Monitoring and early warning serve as the outpost for the prevention and control of multiple pests in agriculture,forestry and grassland,constituting the prerequisite and foundation for safeguarding grain yields through"insect pest management for food security"and ensuring ecological safety through"forest and grass protection".The research project entitled"Construction and Application of a Digital Precision Monitoring and Early Warning Technology System for Multiple Pests in Agriculture,Forestry and Grassland"was established to address three major bottlenecks:insufficient exploitation of multi-source databases and forecasting models,shortage of key generic technologies and low-level integrated application of digital platforms.As a result,22 multi-source databases and forecasting models have been developed,featuring typical pest categories,abundant indicators and key impact factors that directly tackle practical challenges.A total of 41 items grouped into 19 categories of key generic technologies(systems and devices)have been developed,covering rapid sampling and detection,intelligent image recognition,and real-time precise monitoring and early warning across diverse dimensions.Two national-level digital platforms for agricultural and forest/grassland pests management have been upgraded and put into online operation,alongside three provincial-level platforms deployed for demonstration in typical regions.The project realizes seamless integration of multi-source databases,rolling verification of numerical forecasting models and multi-tiered customized user services.It facilitates the upgrading of monitoring and early warning equipment and leapfrog technological development,while improving the scientific robustness,accuracy and guiding value of pest forecasting in agriculture,forestry,and grassland.