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。
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.
作者
张哲
马斌
罗娜
邢斌
李珊珊
杨信廷
ZHANG Zhe;MA Bin;LUO Na;XING Bin;LI Shanshan;YANG Xinting(National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;National Engineering Laboratory for Agri-product Quality Traceability,Beijing 100097,China)
出处
《农业机械学报》
北大核心
2025年第6期1-16,46,共17页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2023YFD2001304)。
关键词
果蔬农产品
产地处理
智能分等分选
预冷与保鲜
包装
产地溯源
fruits and vegetables
origin handling
intelligent grading and sorting
pre-cooling and preservation
packaging
origin traceability
