Core Viewpoint - The article highlights the advancements in meteorological technology that enhance agricultural production, particularly in monitoring and forecasting weather conditions to ensure stable crop yields during the summer harvest season [1]. Group 1: Meteorological Technology in Agriculture - Meteorological monitoring devices are being deployed in agricultural fields, such as automatic observation instruments for microclimates and crop growth, which provide data for irrigation forecasts [2]. - The integration of low-power smart control devices with water-saving irrigation technology is expected to enable automated irrigation systems by 2024 [2]. - A network of intelligent climate observation stations has been established across the country, equipped with various monitoring devices to provide real-time data on soil moisture and crop health [3]. Group 2: Precision Forecasting and Disaster Prevention - Meteorological departments are conducting risk warnings for agricultural meteorological disasters, covering over 20 major crop-related weather hazards [5]. - The establishment of a national database for 17 types of agricultural disasters allows for refined risk assessments and the development of predictive models for various weather conditions affecting crops [6]. - The implementation of a seamless agricultural meteorological disaster risk warning system aims to enhance the accuracy of forecasts and provide timely alerts to farmers [6]. Group 3: Satellite and Radar Monitoring - The use of satellite remote sensing technology has been pivotal in monitoring the growth stages and harvest progress of winter wheat, supporting yield forecasts for summer crops [7]. - Weather radar systems are crucial for monitoring migratory pests, providing real-time data on insect density and movement, which aids in pest control strategies [8]. - The establishment of the world's largest weather radar monitoring network in China enables comprehensive tracking of pest migration patterns, enhancing agricultural disaster prevention efforts [8].

Core Viewpoint - China plans to establish 10 national-level forest fire prevention training bases and implement "order-based" talent cultivation to better respond to forest and grassland fires, marking a shift from passive response to proactive defense since the emergency management system reform in 2018 [1][2]. Group 1: Forest Fire Risk Management Strategy - The forest fire risk management system will be developed in three phases: - From 2025 to 2027, the focus will be on promoting interdisciplinary "intelligent forest fire prevention" including AI early warning and drone firefighting, alongside the establishment of 10 national training bases with a graduate employment rate exceeding 80% [1]. - From 2028 to 2030, the goal is to develop an intelligent fire prediction system with a fire identification accuracy of 95% and to create a nationwide integrated monitoring network [1]. - From 2031 to 2035, the aim is to establish a global forest fire risk management innovation center to provide technical assistance and training to developing countries [2]. Group 2: Organizational Structure and Collaboration - The establishment of the Forest and Grassland Fire Risk Management Branch is a significant step in enhancing disaster risk prevention and control, emphasizing the need for interdisciplinary collaboration and the transformation of research outcomes into practical applications [2]. - The branch will create a platform for collaboration among professional rescue teams and volunteer groups, promoting the development of dedicated, part-time, and volunteer fire prevention teams [2]. - The China Disaster Prevention Association is the only national-level organization in the field of disaster prevention and mitigation, with the new branch being a recent addition [2].