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农业机械化和智能化
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付伟:夯实粮食安全数智基础
Jing Ji Ri Bao· 2025-11-07 00:31
Group 1 - The core viewpoint of the articles emphasizes the transformation of China's agricultural sector towards a modernized, technology-driven model, with a comprehensive mechanization rate exceeding 75% by the end of 2024 [1] - The integration of IoT, AI, and big data in various agricultural processes such as planting, storage, and processing is enhancing the technical level of food production, leading to a shift from traditional labor-intensive methods to high-tech, market-oriented, and eco-friendly agriculture [1][2] - Mechanization and automation are effectively addressing the challenges posed by urbanization and labor shortages in agriculture, particularly the aging workforce, thereby improving production efficiency and reducing reliance on human labor [1][2] Group 2 - Intelligent agricultural technologies, such as smart sowing, water-saving techniques, and AI-based fertilization, are enhancing the value of existing agricultural resources and mitigating ecological risks like extreme weather and pest outbreaks [2] - The demand for diversified and quality food consumption is driving the need for a market-oriented agricultural supply system, which is being met through the optimization of the entire production, circulation, and consumption chain using digital technologies [2] - To ensure food security, it is crucial to establish a supportive agricultural technology application system that aligns with China's regional differences and operational realities, addressing the specific needs for small-scale mechanization in certain areas [3]
夯实粮食安全数智基础
Jing Ji Ri Bao· 2025-11-06 22:44
Group 1 - The core viewpoint of the articles emphasizes the transformation of China's agricultural sector towards a high-tech, market-oriented, and eco-friendly model, with a mechanization and automation rate exceeding 75% by the end of 2024 [1][2] - The integration of IoT, AI, and big data technologies in various agricultural processes, including planting, storage, and processing, is enhancing the technical level of food production and modernizing the agricultural management system [1][2] - Mechanization and automation are effectively addressing the challenges posed by urbanization and labor shortages in agriculture, particularly the aging workforce, by improving production efficiency and reducing reliance on human labor [1][2] Group 2 - Intelligent agricultural technologies, such as smart seeding, water-saving techniques, and AI-based fertilization, are enhancing the value of existing agricultural resources and mitigating ecological risks like extreme weather and pest outbreaks [2] - The demand for diversified and quality food consumption is driving the need for a market-oriented agricultural supply system, which is being met through the optimization of the entire production, circulation, and consumption chain using digital technologies [2] - The establishment of a comprehensive agricultural technology application support system is crucial to adapt to the diverse agricultural conditions across different regions in China, ensuring that mechanization and digitalization meet local needs [3]