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中国农业工程学会第十届学术年会在广州开幕
Nan Fang Nong Cun Bao· 2025-11-28 15:00
Core Viewpoint - The 10th Academic Annual Conference of the Chinese Society of Agricultural Engineering focuses on accelerating high-level agricultural engineering technology self-reliance and integration, with a theme centered on "AI Empowering New Productive Forces in Agricultural Engineering" to promote the construction of an agricultural powerhouse [8][9]. Group 1: Conference Overview - The conference opened on November 28 in Guangzhou, attended by over 2,000 representatives including international guests, experts, scholars, and graduate students, with over 100,000 viewers online [3][4]. - The conference is held biennially by the Chinese Society of Agricultural Engineering, featuring an opening ceremony and keynote speeches [6][7]. Group 2: Key Themes and Discussions - The conference aims to build a platform for academic exchange, promote the organic integration of production, education, research, and application, and focus on the theme of AI in agricultural engineering [9][10]. - Over 20 academicians and renowned experts delivered keynote speeches, with 23 sub-forums and more than 500 specialized reports scheduled [10][11]. Group 3: Strategic Importance - The former Vice Minister of Agriculture and Rural Affairs emphasized the importance of agricultural engineering in modernizing agriculture and rural areas, highlighting its role in transforming traditional agriculture and developing strategic emerging industries [15][16]. - The conference serves as a crucial platform for academic exchange and collaboration, aiming to enhance the integration of engineering technology with agricultural development [17][18]. Group 4: Future Directions - The conference featured the release of the "Top Ten Frontier Science and Technology Hot Issues in Agricultural Engineering" and the "Top Ten Soft Science Independent Research Topics" by key figures in the field [33][34]. - The event also included various forums and discussions on topics such as intelligent agricultural machinery, AI in agriculture, and sustainable agricultural practices [51][52].