中国农业科技导报2025，Vol.27Issue(12)：108-122,15.DOI:10.13304/j.nykjdb.2025.0946
便携式茶芽品质参量多光谱检测装置及系统
Portable Multispectral Sensing System for Monitoring of Tea Shoot Quality Parameters
摘要
Abstract
Aiming at the problems of low efficiency,high cost and difficulty in on-site implementation existing in traditional tea quality detection methods,a portable multispectral detection device and system for tea bud quality parameters was developed.The hardware of the device integrated a multispectral sensing unit with 9 characteristic wavelengths,a camera module and a global positioning system(GPS)module.By adopting a master-slave computer collaborative architecture,the in-situ synchronous collection and wireless transmission of multispectral reflectance,images,and geographical location information of tea buds were realized.The software system was based on a multi-task deep neural network,which estimated chlorophylls,polyphenols and free amino acids content of tea bud using the collected multi-band reflectance data and displayed the results in real time.The results showed that relative errors of multi-band reflectance of the device's multispectral module were within 4%and 8%under sunny and cloudy conditions,respectively;the average coefficient of determination(R²)of the multi-band reflectance cross-calibration model was 0.820,with an average root mean square error(RMSE)of 0.028.Based on the corrected reflectance data of tea buds,the constructed multi-task model achieved high estimation accuracy for chlorophyll and free amino acid in tea buds.The model's R² was 0.77,and the relative percentage deviation(RPD)was greater than 2.0.While the estimation accuracy for tea polyphenols was relatively low,and the model's R² was 0.51,the RMSE was 0.70%,the RPD was 1.42.The research results provided portable and intelligent technical support for rapid and non-destructive monitoring of tea bud quality in tea gardens on site,and had positive significance for promoting the precise management and digital upgrading of tea production.关键词
便携式检测装置/多光谱/茶芽品质/多任务学习/反演模型/监测Key words
portable detection device/multispectral/tea shoot quality/multi-task learning/inversion model/monitoring分类
农业科技引用本文复制引用
潘道佑,周贤锋,张竞成,吴开华,陈冬梅,程勇淋..便携式茶芽品质参量多光谱检测装置及系统[J].中国农业科技导报,2025,27(12):108-122,15.基金项目
国家重点研发计划项目(2022YFD2000100) （2022YFD2000100）
国家自然科学基金项目(41901268,62276086) （41901268,62276086）
浙江省自然科学基金项目(ZCLZ24F0201). （ZCLZ24F0201）
