发挥农林人才强农兴农作用

Core Insights - The cultivation of agricultural and forestry talents is essential for modernizing agriculture and rural revitalization in China, impacting various sectors from seed innovation to smart agriculture and rural governance [1][2] Group 1: Agricultural and Forestry Talent Development - As of 2024, China has over 500 agricultural universities and more than 2,500 specialized programs, indicating a significant increase in talent cultivation [1] - The establishment of over 1,800 technology small courtyards across 31 provinces, with over 2,700 instructors and experts, has facilitated the transformation of scientific achievements into practical agricultural techniques [1] - Initiatives like "Anji Consensus," "Beijing Guide," and "Beidacang Action" launched by the Ministry of Education since 2019 have promoted reforms and innovations in higher agricultural education [1] Group 2: Role in Ecological Construction - There is a notable shortage of high-quality ecological products in China, with insufficient branding efforts for green and organic products, leading to a mismatch between supply and demand [2] - Many regions rely heavily on traditional models like eco-tourism and specialty agriculture, resulting in a lack of coordinated efforts and overall planning [2] - Agricultural and forestry talents can leverage modern technologies such as big data and AI to assess ecological resources accurately and innovate in ecological product development [2] Group 3: Collaborative Approaches to Talent Training - Strengthening collaboration among universities, government, and enterprises is crucial for aligning talent training with industry needs, particularly in areas like ecological product valuation and market mechanisms [3] - The establishment of practical teaching platforms, such as ecological agriculture demonstration parks and training centers, can enhance students' abilities to address ecological economic challenges [3] - Promoting interdisciplinary integration in talent cultivation is essential, focusing on breaking down barriers between traditional knowledge systems and incorporating cutting-edge technologies like AI [3]