近日，2024年度海南省科学技术奖评选结果正式揭晓。由浙江托普云农科技股份有限公司 （301556.SZ）参与完成的"海南重大迁飞害虫智能监测及精准防控关键技术创新与集成应用"成果获得 科学技术进步奖一等奖，充分彰显了托普云农在农业科技创新领域的硬核实力与行业引领地位。 2024年度海南省科学技术奖是《海南省科学技术奖励办法》及实施细则修订后第一次授奖。此次获奖项 目技术创新突出，推动行业进步作用明显，产生了显著的社会和经济效益，充分彰显了海南在吸引和培 育创新团队、激发创新动能方面的成效。 立足不同场景的差异化监测需求，托普云农创新整合光诱、色诱、性诱等多元诱集方式，搭建全域适配 的智能测报体系，实现从微小害虫到迁飞害虫、从田间单点到全域范围的多维度监测覆盖，彻底打破传 统测报方式的场景局限。 通过联动卫星遥感、无人机遥感、地面感知网络等多维手段，托普云农打造 "天空地一体化" 立体监测 系统，同时深度嵌入农业AI智能体 "问稷"，实现虫情数据与气象、作物生育期等多维信息的联动分 析，推动植保测报从"人工估测"向"精准量化"、从"被动响应"向"主动预警"的根本性转变。 多年来，托普云农在智慧农业领域的技术成 ...

Core Insights - The integration of AI into agriculture is accelerating, driven by mature underlying infrastructure and supportive government policies, positioning agriculture as a key area for AI application [1][2] - The recent release of the State Council's opinions emphasizes the importance of accelerating the digital transformation of agriculture as a critical direction for AI+ industry development [1] - The trend towards AI in agriculture is expected to enhance food security and propel China from an "agricultural power" to an "agricultural technology powerhouse" [1] Policy Framework - The concept of "developing new quality productivity in agriculture" was introduced in the Central Document No. 1 this year, highlighting the need for smart agriculture and the application of AI and data technologies [2] - Local governments are actively implementing supportive measures, such as the "Jiaxing City Action Plan (2025-2027)" which promotes AI in modern agriculture and encourages the development of intelligent monitoring systems [2] - The establishment of a comprehensive policy framework is expected to provide solid support for the industrialization of AI in agriculture, enhancing the attractiveness for quality enterprises and capital [2] Industry Development - The current state of AI in agriculture is still in its early stages, but the pace of adoption is accelerating due to improved mechanization and clear quantitative policy goals [3] - Companies like Zhejiang Topcloudy Agricultural Technology Co., Ltd. and Hubei Fubon Technology Co., Ltd. are actively integrating AI into their agricultural practices, developing innovative tools and digital services [3] - Yuan Longping Agricultural High-Tech Co., Ltd. has successfully applied AI in breeding systems, achieving a 64.2% improvement in breeding efficiency through deep neural networks [3] Challenges and Solutions - Despite breakthroughs in various applications, the overall penetration rate of AI in agriculture remains low compared to industrial sectors, facing challenges such as data disconnection and talent misalignment [4] - Proposed solutions include establishing demonstration bases and cooperatives to alleviate data collection issues, developing low-cost solutions to lower barriers for farmers, and focusing on high-value crops to create benchmark cases [4]