基于高光谱成像技术的不同类型小麦穗发芽籽粒识别  

Identification of Preharvest Sprouting Grains of Different-Type Wheat Varieties Based on Hyperspectral Imaging Technology

作　　者：孙传亮 马攀 刘泽厚 郑建敏[2,4] 梁万杰 曹静[1] 王琴[2,4] 李俊[2,4] 杨武云 万洪深[2,4] 张文宇 SUN Chuanliang;MA Pan;LIU Zehou;ZHENG Jianmin;LIANG Wanjie;CAO Jing;WANG Qin;LI Jun;YANG Wuyun;WAN Hongshen;ZHANG Wenyu(Institute of Agricultural Information,Jiangsu Academy of Agricultural Sciences/Joint Laboratory of Germplasm Resource Innovation and Information Utilization,Joint Laboratory of Agricultural Digital Twin,Nanjing 210014,China;Crop Research Institute,Sichuan Academy of Agricultural Sciences/Key Laboratory of Wheat Biology and Genetic Improvement on Southwestern China,Ministry of Agriculture and Rural Affairs,Chengdu 610066,China;Triticeae Research Institute,Sichuan Agricultural University,Chengdu 611130,China;Sichuan Provincial Key Laboratory of Green Germplasm Innovation and Genetic Improvement of Grain and Oil Crops,Chengdu 610066,China;College of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu,China)

机构地区：[1]江苏省农业科学院农业信息研究所/种质资源创新与信息化利用联合实验室、农业数字孪生联合实验室,南京210014 [2]四川省农业科学院作物研究所/农业农村部西南地区小麦生物学与遗传育种重点实验室,成都610066 [3]四川农业大学小麦研究所,成都611130 [4]粮油作物绿色种质创新与遗传改良四川省重点实验室,成都610066 [5]江苏大学农业工程学院,江苏镇江212013

出　　处：《四川农业大学学报》2023年第6期1071-1078,共8页Journal of Sichuan Agricultural University

基　　金：四川省农业科学院前沿学科研究基金(2019QYXK034)。

摘　　要：【目的】为探索利用高光谱成像技术识别不同类型小麦籽粒穗发芽的方法。【方法】利用涵盖不同倍性、籽粒颜色的3个品种的小麦种子为材料,通过设置穗发芽对比实验,利用PCA、ICA、HSV 3种变换方法分析不同类型小麦正常和穗发芽籽粒光谱、图像的差异,提取图像和光谱特征参数,并运用最小距离法、最大似然法和支持向量机3种不同识别算法进行小麦籽粒发芽识别。【结果】穗发芽与否会在其光谱特性上有所反映,发芽籽粒的光谱反射率在品种间差异较小,发芽与未发芽籽粒的光谱反射率存在较大差异,大于未发生穗发芽品种之间的差异,特别是在光谱波段470~620 nm之间。通过光谱差异分析并结合支持向量机算法进行识别得到的结果精度更高,识别精度达到96%。【结论】研究结果可为种子质量监控、自动筛选识别等提供技术支持。【Objective】The aim of this study was to explore the method of identifying preharvest sprouting grains of different-type wheat by hyperspectral imaging technology.【Method】Seeds of different ploidy wheatand grain colors were used as materials.The difference between normal and preharvest sprouting grains of different wheat types on spectra and images was analyzed under the condition of grain germination experiment.After extracting the image and spectral characteristic parameter,a total of three differentrecognition algorithm including the minimum distance method,maximum likelihood method and support vector machine were used to identify preharvest sprouting grains.【Result】The spectral characteristics between normal and sprouting grains were different.The spectral reflectance of sprouting grains had little difference between different wheat types,and that difference between normal and sprouting grains on spectral reflectance was much greater than that difference between different wheat varieties without sprouting,especially in the spectral band between 470 nm and 620 nm.Through the spectral difference analysis combined with support vector machine algorithm,we obtained a higher recognition accuracy of 96%.【Conclusion】The results can provide technical support for seed quality control,automatic screening and identification.

关 键 词：高光谱成像 小麦 穗发芽籽粒 光谱分析 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]