Group 1 - The core event was the AI for Agriculture Science成果发布会, where five groundbreaking AI applications in agriculture were launched, focusing on crop phenotyping, intelligent breeding design, and smart pesticide development [1][2] - The establishment of the "AI for Agriculture Science" OPC base aims to integrate technology research, achievement transformation, and talent aggregation, providing a platform for industry-academia collaboration [1][3] Group 2 - Five AI achievements were introduced: "fomo4wheat crop phenotyping model," "AI + remote sensing-driven crop digital twin system," "dynamic intelligent breeding design model," "soybean smart breeding platform," and "'Yao Wen' pesticide scientist AI agent," which collectively enhance agricultural productivity and efficiency [2] - The dynamic intelligent breeding design model reduces the breeding cycle by at least 50%, while the pesticide scientist AI agent compresses the pesticide development cycle from ten years to one year, creating a comprehensive technology system from basic research to industrial application [2] Group 3 - AI is recognized as a key technological support for modernizing agriculture, ensuring national food security, and promoting rural revitalization, indicating a significant shift in traditional agricultural production methods and governance systems [3] - Nanjing Agricultural University has made significant advancements, with 14 disciplines entering the top 1% globally in ESI rankings, and is actively promoting interdisciplinary research in agricultural AI and related fields [3]