筑牢粮食安全“压舱石” 黑龙江政协委员建言以“科技+人才”夯实根基

Core Viewpoint - Heilongjiang Province is a significant agricultural base in China, with a grain output target of 82.003 million tons by 2025, maintaining its position as the top producer for 16 consecutive years. However, challenges such as aging agricultural technology promotion personnel and low levels of large-scale farming persist [1][2]. Group 1: Agricultural Challenges - Over 85% of farming entities in Heilongjiang are smallholders, managing about 40% of the total arable land, and over 60% of specialty crops like soybeans and miscellaneous grains. There is an urgent need for institutional innovation, technological empowerment, and system restructuring to facilitate their transformation [1]. - The aging of grassroots agricultural technology promotion personnel is severe, with over 7,500 frontline agricultural technicians unable to cover the vast arable areas of the province. Young talents are reluctant to settle in rural areas due to low salaries and limited development opportunities [2]. Group 2: Technological and Talent Gaps - There is a significant gap in the application of agricultural technology, with many smallholders relying on traditional farming experiences and low adoption rates of new technologies such as biological breeding and integrated water and fertilizer management. This results in insufficient technical implementation and limits yield improvements [2]. - The proposal emphasizes the need to strengthen technological empowerment and infrastructure development to bridge the digital divide. It suggests conducting inclusive skill training for young farmers and cooperative leaders to help smallholders master new technologies [2]. Group 3: Talent Development Strategies - The core of food security lies in technology, and the key to technology is talent. Strengthening the talent foundation for food security in Heilongjiang is both a practical choice to address the agricultural talent gap and a strategic measure to ensure national food security [3]. - Recommendations include expanding the training scale for professional doctoral programs focused on smart agriculture, crop breeding, agricultural machinery, and ecological protection. Establishing a dynamic matching mechanism between industry demand and talent training is also proposed [3].