Core Viewpoint - The proposal emphasizes the need to establish a concept of "leading the overall situation with intelligence" to systematically shape a new quality of agricultural productivity through the integration of AI technology in agriculture [2] Group 1: Strategic Planning - Strengthen planning guidance by building a foundation for artificial intelligence technology, integrating smart sensing networks, industry brains, large models, and agricultural robots to promote deep integration of "AI + agriculture" [2] Group 2: Research and Development - Focus on precise breakthroughs by developing high-end intelligent agricultural equipment, encouraging universities and research institutions to establish AI agricultural research institutes to address key challenges in agricultural development [2] Group 3: Data Integration - Integrate data resources to create a "1+N" agricultural model and data system, with a unified provincial platform to gather various data and incubate multiple application models that empower the industry [2] Group 4: Talent Development - Improve training mechanisms to enhance the cultivation of smart agriculture talent, incorporating AI operations and data analysis into core courses for high-quality farmer training and encouraging collaboration between schools and enterprises [2] Group 5: Industry Integration - Deepen industry integration to achieve full-chain digital empowerment, connecting all service links from breeding, planting, management, processing, storage, sales, to services, and establishing special funds to accelerate the implementation of AI agricultural technology models [2]