果蔬农产品产地智能化处理技术研究进展与展望
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国家重点研发计划项目(2023YFD2001304)


Research Progress and Prospects of Key Technologies for Intelligent Treatment of Fruits and Vegetables Agricultural Products at Origin
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    摘要:

    在全球农业产业转型升级背景下,果蔬农产品产地处理技术面临着效率提升与品质管控的双重挑战。以人工智能、物联网和大数据为核心驱动的智能化解决方案,正深度重构产地处理全链条的技术范式。本文通过系统梳理果蔬农产品产地处理过程中的采收、分选、预冷、保鲜储藏、包装和产地运输等关键环节,深入分析了智能化技术在各环节的主要应用。重点回顾了智能分等分选技术、预冷与保鲜包装技术以及产地溯源技术的研究进展,综述了相关技术在国内外的应用现状,并展望了果蔬农产品产地处理过程中关键技术的发展趋势,提出智能化、数字化与绿色化技术的深度融合将成为推动行业革新的重要动力。

    Abstract:

    With the ongoing transformation and upgrading of the global agricultural industry, fruits and vegetables agricultural products origin handling technologies are facing dual challenges: improving operational efficiency and ensuring stringent quality control. Intelligent solutions powered by artificial intelligence, the Internet of Things, and big data are reshaping the entire technological framework of origin handling, enabling automation, precision, and data-driven decision-making. It systematically reviewed the key stages of fruits and vegetables origin handling, providing an in-depth analysis of how intelligent technologies that were applied across different stages. It highlighted recent advancements in intelligent grading and sorting, pre-cooling and preservation, packaging, and origin traceability, emphasizing their role in enhancing supply chain efficiency and improving quality management. Furthermore, it explored how breakthroughs in these technologies contribute to optimizing logistics, reducing post-harvest losses, and ensuring food safety. Looking ahead, it discussed emerging trends in fruits and vegetables origin handling, stressing that the deep integration of intelligence, digitalization, and sustainability would be a key driving force for industry innovation. The adoption of smart technologies not only enhanced operational efficiency but also promoted environmentally friendly and resource-efficient practices. The research result can provide a quantifiable framework for technology selection and an all-encompassing optimization path for the evolution of the fruits and vegetables smart supply chain. Ultimately, it supported the paradigm shift from traditional experience-based post-harvest handling to a more efficient, data-driven approach, offering valuable insights for researchers and industry practitioners alike.

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张哲,马斌,罗娜,邢斌,李珊珊,杨信廷.果蔬农产品产地智能化处理技术研究进展与展望[J].农业机械学报,2025,56(6):1-16,46. ZHANG Zhe, MA Bin, LUO Na, XING Bin, LI Shanshan, YANG Xinting. Research Progress and Prospects of Key Technologies for Intelligent Treatment of Fruits and Vegetables Agricultural Products at Origin[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(6):1-16,46.

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  • 收稿日期:2025-03-19
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  • 在线发布日期: 2025-06-10
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