农业机械学报2025，Vol.56Issue(6)：17-32,16.DOI:10.6041/j.issn.1000-1298.2025.06.002
农产品品质在线感知技术应用研究进展
Research Progress on Application of Online Perception Technology for Agricultural Product Quality
摘要
Abstract
The agricultural industry has witnessed transformative advances with the integration of digital technologies into quality assessment and processing.Online perception technology,which encompasses an array of sensor modalities,imaging techniques,and intelligent data processing algorithms,has emerged as a pivotal tool in ensuring the quality,safety,and marketability of agricultural products.A comprehensive survey of recent research progress in the field was provided,focusing on the application of online perception systems for agricultural product quality assessment.The technological components underpinning these systems were critically analyzed,including machine vision,hyperspectral imaging,near-infrared spectroscopy,and advanced data analytics.The discussion covered the evolution of sensor hardware,algorithmic developments in machine learning and deep learning,and the integration of multi-modal data for real-time quality control.Specific application examples were presented across different categories,such as fruit and vegetable sorting,grain quality monitoring,and the evaluation of meat and dairy products.The future trends and the potential of emerging technologies were also outlined to further revolutionize the perception of agricultural quality perception technologies.In summary,it highlighted how online perception technologies not only enhanced the precision and efficiency of quality assessment but also contributed to sustainable practices by reducing wastage and ensuring compliance with safety standards.关键词
在线感知技术/农产品质量/传感器融合/农业自动化Key words
online perception technology/agricultural product quality/sensor fusion/agricultural automation分类
天文与地球科学引用本文复制引用
贾志鑫,杨霖,史策,杨信廷..农产品品质在线感知技术应用研究进展[J].农业机械学报,2025,56(6):17-32,16.基金项目
国家重点研发计划项目(2022YFD2100500) （2022YFD2100500）
