| [1] Williams P J,Kucheryavskiy S. Classification of maize kernels u-sing NIR hyperspectral imaging [J]. Food Chemistry,2016,209:131-138.
[2] Shiqiang Jia, Dong An, Zhe Liu, et al. Variety identification method of coated maize seeds based on near-infrared spectroscopy and chemometrics [J]. Journal of Cereal Science,2015,63 :21 -26.
[3]Yongjin Cui,Lanjun Xu,Dong An, et al. Identification of maize seed varieties based on near infrared reflectance spectroscopy and ch- emometrics[J]. International Journal of Agricultural and Biological Engineering，2018，11(2):177-183.
[4]王亚丽，彭彦昆，赵鑫龙，等.玉米种子活力逐粒无损检测与分级装置研究[J1.农业机械学报，2020，51(02):350-356.
[5] Fassio A S, Restaino E A, Cozzolino D. Determination of oil con-tent in whole corn (Zea mays L.) seeds by means of near infrared reflectance spectroscopy [J]. Computers and Electronics in Agricul- ture，2015，110:171-175.
[6]张乐，吴静珠，李江波，刘翠玲，孙晓荣，余乐.基于随机森林的单粒玉米种子水分近红外快速定量检测[J/OL]，中国粮油学报:1-12[2022-01-12].http://kns.cnki. net/kems/ detail/11. 2864.TS.20210408.0849.002. html.
[7]张新玉，王颖杰，刘若西，等.近红外光谱技术应用于玉米单籽粒蛋白质含量检测分析的初步研究[J.中国农业大学学报，2017，22(05):25-31.
[8] Dib S R, Silva T V, Neto J A G, et al. Raman spectroscopy for discriminating transgenic corns[ J ]. Vibrational ISpectroscopy,2021，112.
[9]黄亚伟，张令，王若兰。新陈玉米的拉曼光谱快速判别研究[J].现代食品科技，2014、30(12):149-152.
[10] Ambrose A, LohumiS, Lee WH, et al. Comparative nonde-structive measurement of corn seed viability using Fourier transform near-infrared(FT-NIR) and Raman spectroscopy [J]. Sensors& Actuators:B.Chemical,2016,224:500-506.
[11] 黄林生，王芳，翁士状，等.表面增强拉曼光谱准确检测玉米中杀螟硫磷农药残留 [J].光谱学与光谱分析，2018，38(09):2782-2787.
[12] Gulce O I, Hayrunnisa N K, Ekin S K, et al. A comparative study of the yellow dent and purple flint maize kernel components by Raman spectroscopy and chemometrics [J]. Journal of Molecu- lar Structure,2019,1184:246-253.
[13]Min Huang,Jinya Tang, Bao Yang, et al. Classification of maize seeds of different years based on hyperspectral imaging and model updating [J]. Computers and Electronics in Agriculture，2016,122 :139-145.
[14] Min Huang, Chujie He, Jianwei Qin, et al. Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Im aging [J]. Applied Sciences,2016,6(6).
[15]冯朝丽，朱启兵，朱晓，等.基于光谱特征的玉米品种高光谱图像识别[J].江南大学学报(自然科学版)，2012，11 (02):149-153.
[16] Jun Zhang, Limin Dai, Fang Cheng. Corn seed variety classifica-tion based on hyperspectral reflectance imaging and deep convolu- tional neural network [ J]. Journal of Food Measurement and Characterization，2020:1-11.
[17] Dongsheng Guo, Qibing Zhu, Min Huang, et al. Model updating for the classification of different varieties of maize seeds from different years by hyperspectral imaging coupled with a pre-labeling method [J]. Computers and Electronics in Agriculture,2017,142 :1-8.
[18] Lei Feng, Susu Zhu, Chu Zhang, et al. Identification of Maize Kernel Vigor under Different Accelerated Aging Times Using Hy- perspectral Imaging [J]. Molecules ( Basel, Switzerland)，2018，23(12).
[19] Hruska Z, Yao H, Kincaid R, et al. Fluorescence Imaging Spectroscopy(FIS) for Comparing Spectra from Corn Ears Naturally and Artificially Infected with Aflatoxin Producing Fungus [J]. Journal of Food Science,2013,78(8):1313-1320.
[20] Thanh H. Dao. Instantaneous accounting for leaf water in X-ray fluorescence spectra of corn grown in manure- and fertilizer-amen- ded soils [J]. Computers and Electronics in Agriculture，2016,129:84-90. |
