Core Insights - The integration of AI and advanced information technology in agriculture is transforming traditional farming practices into a more efficient and data-driven approach, marking the transition from "blind planting" to "intelligent planting" [1][8] Group 1: AI Applications in Agriculture - In Linyi, the deployment of 18 AI-equipped cameras and 5G technology has established a smart monitoring system for large-scale farmland, enabling real-time data analysis for irrigation and equipment management [2] - In Jining, the "Yuanjing" model serves as a digital "nutritionist" for crops, utilizing 12 types of data to optimize fertilization and irrigation strategies, resulting in a 30% increase in water resource utilization and a 25% reduction in pesticide use [4] - In Yantai, a corn yield enhancement project is leveraging IoT and cloud computing to monitor environmental conditions and crop health, with expectations of over 20% increase in corn yield in core demonstration areas [5] Group 2: Technological Innovations and Training - The development of a "Smart Agriculture APP" addresses farmers' challenges such as water conservation and pest management, with over 500 farmers trained to use digital tools [6] - A mobile water and fertilizer integration vehicle has been tested, achieving a 30% reduction in water and 25% in fertilizer usage, with a threefold increase in operational efficiency [6] - The combination of AI and traditional farming practices is seen as a silent revolution that strengthens food security in China [8]