人工智能化身智慧农业“新引擎”

Group 1 - The core viewpoint of the articles emphasizes the acceleration of digital transformation in agriculture through the implementation of artificial intelligence technologies, which injects new vitality into traditional agriculture [1][5] - The integration of emerging technologies with traditional agriculture is crucial for promoting the application of AI in breeding, planting, and breeding processes, aiming for a platform-based and intelligent agricultural development [2][5] - Significant technological achievements have been made in smart agriculture, with AI-enabled innovations covering the entire agricultural production process, leading to substantial cost savings and increased yield [3][5] Group 2 - Companies should strategically plan their intellectual property (IP) to align algorithm innovations with specific agricultural applications, actively applying for patents and protecting core technologies [4] - Industry organizations are encouraged to accelerate the establishment of technical standards for smart agriculture and enhance the competitive edge of domestic enterprises in international markets through standard essential patents [5] - The development of smart agriculture is expected to trend towards comprehensive, collaborative, and widespread adoption, with AI technologies covering the entire agricultural chain from breeding to traceability [5]