A modified feature fusion method for distinguishing seed strains using hyperspectral data
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Jingjing Liu | Simeng Liu | Yizhou Chen | Hong Men | Fulong Liu | Xiaonan Wang | Tie Shi | H. Men | Jingjing Liu | Fulong Liu | Yizhou Chen | Simeng Liu | Tie Shi | Xiaonan Wang
[1] Dean Diepeveen,et al. Spectroscopic and chemical fingerprints in malted barley , 2012 .
[2] M. Eremets,et al. Ammonia as a case study for the spontaneous ionization of a simple hydrogen-bonded compound , 2014, Nature Communications.
[3] Peter Koehler,et al. Classification of spelt cultivars based on differences in storage protein compositions from wheat. , 2015, Food chemistry.
[4] M. Kim,et al. Rapid assessment of corn seed viability using short wave infrared line-scan hyperspectral imaging and chemometrics , 2018 .
[5] Santosh Lohumi,et al. Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds , 2016 .
[6] N. Nethra,et al. Identification of rice hybrids and their parental lines based on seed, seedling characters, chemical tests and gel electrophoresis of total soluble seed proteins , 2007 .
[7] Paul J. Williams,et al. Classification of maize kernels using NIR hyperspectral imaging. , 2016, Food chemistry.
[8] Fang Cheng,et al. Spectral and Image Integrated Analysis of Hyperspectral Data for Waxy Corn Seed Variety Classification , 2015, Sensors.
[9] Chu Zhang,et al. Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods , 2017, Sensors.
[10] Yu Gu,et al. Classification of Multiple Chinese Liquors by Means of a QCM-based E-Nose and MDS-SVM Classifier , 2017, Sensors.
[11] Yong He,et al. Application of hyperspectral imaging and chemometrics for variety classification of maize seeds , 2018, RSC advances.
[12] Yong He,et al. Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds , 2012, Sensors.
[13] Jianhua Wang,et al. A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds , 2018, Sensors.
[14] Santosh Shrestha,et al. Single seed near-infrared hyperspectral imaging in determining tomato (Solanum lycopersicum L.) seed quality in association with multivariate data analysis , 2016 .
[15] Roberto Kawakami Harrop Galvão,et al. A method for calibration and validation subset partitioning. , 2005, Talanta.
[16] Li Liu,et al. Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review , 2018, Sensors.
[17] Xiaojun Qiao,et al. Utilization of spectral-spatial characteristics in shortwave infrared hyperspectral images to classify and identify fungi-contaminated peanuts. , 2017, Food chemistry.
[18] Moon S. Kim,et al. Detection of Cracks on Tomatoes Using a Hyperspectral Near-Infrared Reflectance Imaging System , 2014, Sensors.
[19] Charles R. Hurburgh,et al. Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels , 2012 .
[20] Baohua Zhang,et al. Development of a Hyperspectral Imaging System for the Early Detection of Apple Rottenness Caused by Penicillium , 2015 .
[21] M. C. U. Araújo,et al. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis , 2001 .
[22] Baohua Zhang,et al. Detection of Early Rottenness on Apples by Using Hyperspectral Imaging Combined with Spectral Analysis and Image Processing , 2015, Food Analytical Methods.
[23] Yan Shi,et al. A deep feature mining method of electronic nose sensor data for identifying beer olfactory information , 2019 .
[24] Mohebbat Mohebbi,et al. Pomegranate seed clustering by machine vision , 2017, Food science & nutrition.
[25] Pil Un Kim,et al. Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection , 2018, Sensors.