Rapid determination of oil content of single peanut seed by near-infrared hyperspectral imaging  

作　　者：Shunting Zhang Xue Li Du Wang Li Yu Fei Ma Xuefang Wang Mengxue Fang Huiying Lyu Liangxiao Zhang Zhiyong Gong Peiwu Li 

机构地区：[1]Key Laboratory for Deep Processing of Major Grain and Oil of Ministry of Education,Wuhan Polytechnic University,Wuhan,430023,China [2]Key Laboratory of Biology and Genetic Improvement of Oil Crops,Ministry of Agriculture and Rural Affairs,Laboratory of Risk Assessment for Oilseed Products(Wuhan),Ministry of Agriculture and Rural Affairs,Quality Inspection and Test Center for Oilseed Products,Ministry of Agriculture and Rural Affairs,Oil Crops Research Institute,Chinese Academy of Agricultural Sciences,Wuhan,430062,China [3]Hubei Hongshan Laboratory,Wuhan,430070,China [4]College of Food Science and Engineering,Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety,Nanjing,210023,China [5]Zhongyuan Research Center,Chinese Academy of Agricultural Sciences,Xinxiang,453500,China [6]Agricultural Product Processing Institute,Hunan Academy of Agricultural Sciences,Changsha,410125,China [7]Xianghu Laboratory,Hangzhou,311231,China

出　　处：《Oil Crop Science》2024年第4期220-224,共5页中国油料作物学报(英文版）

基　　金：supported by the National Key Research and Development Project of China(2021YFD1600101);the earmarked fund for the China Agriculture Research System(CARS-12 and CARS-13);the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2024-OCRI).

摘　　要：Oil content is a crucial indicator for evaluating the quality of peanuts.A rapid and non-destructive method to determine oil content of individual peanut seed can provide robust technical support for breeding high-oil-content peanut varieties.In this study,we established a rapid determination method using near-infrared hyperspectral imaging and chemometrics to assess the oil content of single peanut seed.After selecting key wavelengths through competitive adaptive reweighted sampling(CARS),uninformative variable elimination(UVE),and random frog(RF),we constructed an oil content calibration model based on partial least squares regression for single peanut seed.Validation results demonstrated that the correlation coefficient was 0.8393 with a root mean square error of 1.7771 in the calibration set,while it was 0.7915 with a root mean square error of 2.2943 in the independent prediction set.Most samples exhibited relative errors below 5%,confirming the reliability of this model in predicting oil content of single peanut seed.

关 键 词：Single peanut Oil content NEAR-INFRARED Hyperspectral imaging Partial least squares 

分 类 号：S565.2[农业科学—作物学]