Core Insights - The event in Wuhan showcased innovative technologies in agriculture, emphasizing the integration of AI in various agricultural processes, from molecular breeding to space monitoring [1][9] - The collaboration among agricultural technology companies is creating a robust ecosystem that accelerates the transformation of technological achievements into practical applications [11] Group 1: AI Integration in Agriculture - Companies presented solutions that combine satellite, drone, and ground sensor technologies for real-time monitoring of crop health and pest migration, enabling farmers to prepare for pest outbreaks 7-10 days in advance [1] - A laser weeding machine demonstrated the ability to identify and eliminate weeds with a precision of 2 millimeters, avoiding damage to surrounding crops [2][4] Group 2: Innovations in Crop Nutrition and Seed Development - A system developed by Hubei Zhihui Technology provides customized fertilizer formulations based on AI analysis of soil and crop data, achieving a 70% reduction in fertilizer use and a 47% decrease in water consumption, while increasing cotton yield by 87 kilograms per acre [4] - Companies are leveraging AI and quantum computing to enhance seed development, significantly shortening breeding cycles and improving the efficiency of agricultural research [5] Group 3: Collaborative Ecosystem and Future Prospects - The event highlighted a clear transformation path from laboratory research to field application and market integration, fostering a collaborative innovation ecosystem in Wuhan [11] - The goal is to establish Wuhan as a national demonstration hub for "AI+ agriculture," promoting a shift from traditional farming methods to data-driven agricultural practices [9][11]