现代农业智慧工厂化种植模式

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“智”农工厂
Bei Jing Ri Bao Ke Hu Duan· 2025-07-02 21:54
Core Viewpoint - The article highlights the advancements in smart agriculture technology, particularly focusing on the development of an automated fruit and vegetable harvesting robot, which significantly enhances efficiency and reduces labor dependency in agricultural production [1][3][10]. Group 1: Smart Agriculture Innovations - The smart agriculture factory at Beijing University of Technology features a fully automated production line for various crops, utilizing intelligent devices for all stages of production [1][10]. - The harvesting robot, a key innovation, has achieved record speeds in identifying, picking, and collecting fruits, with a single tomato being harvested in just 5 to 7 seconds [3][4][5]. - The robot's design includes a flexible, hollow mechanical arm that mimics human hand movements, allowing for gentle handling of delicate fruits without causing damage [5][6]. Group 2: Technological Development and Challenges - The development of the harvesting robot involved overcoming significant engineering challenges, particularly in maintaining the mechanical arm's stability and flexibility under various conditions [6][7]. - The team employed deep learning techniques to enhance the robot's visual recognition capabilities, achieving a positioning error of less than 5 millimeters [5][6]. - Continuous testing and optimization were crucial, with the team spending over 40 days in the greenhouse to refine the robot's performance [6][7]. Group 3: Future Prospects and Applications - The advancements in smart agriculture are expected to increase the self-sufficiency of vegetable production in Beijing, with plans for large-scale automated greenhouses [7][10]. - The research aligns with national goals to modernize agricultural practices and improve efficiency through technology [9][10]. - The innovations developed in this smart agriculture initiative are also being applied to other industries, enhancing automation and efficiency across various sectors [17][18].