农业工程2025，Vol.15Issue(1)：120-128,9.DOI:10.19998/j.cnki.2095-1795.202501320
深度学习在果蔬品质检测中的应用综述
A review of deep learning application in fruit and vegetable quality inspection
摘要
Abstract
With increase of global population and high demand for fruit and vegetable quality,efficiency and accuracy of fruit and ve-getable quality inspection have become focal points in food industry.Traditional methods of fruit and vegetable quality inspection face challenges such as high labor intensity,low efficiency,and difficulty in ensuring accuracy.Application of deep learning in computer vision tasks of fruit and vegetable quality inspection was described in detail.Deep learning could achieve efficient and accurate inspec-tion by learning and simulating human visual recognition process to detect quality of fruits and vegetables.Specific applications include chromatic analysis,shape analysis,texture analysis,size analysis,disease identification,and ripeness recognition.However,deep learning in fruit and vegetable quality inspection still faces challenges in data collection,model training complexity,and achieving real-time performance.Future research could focus on improving inspection accuracy,processing speed,and reducing costs,exploring in-tegration of deep learning with internet of things,big data and other technologies,to achieve more intelligent and automated fruit and ve-getable inspection system.Application of deep learning in fruit and vegetable inspection has a broad development prospect and will bring a significant impact on fruit and vegetable production and consumers.关键词
果蔬/品质检测/深度学习/计算机视觉/模式识别Key words
fruit and vegetable/quality inspection/deep learning/computer vision/pattern recognition分类
农业科技引用本文复制引用
吴智丽,杜志龙,何亚凯,赵丹,霍达,万丽娜,杨延辰,毕峰华..深度学习在果蔬品质检测中的应用综述[J].农业工程,2025,15(1):120-128,9.基金项目
国家重点研发计划项目(2022YFD2002205-01) （2022YFD2002205-01）
农业农村部农产品产地初加工重点实验室开放课题项目(KLAPPP2022-01) （KLAPPP2022-01）
