A review of neural networks in plant disease detection using hyperspectral data

查看全文 作　　者：Kamlesh [1]Golhani;Siva [1]K.Balasundram;Ganesan [2]Vadamalai;Biswajeet [3]Pradhan

机构地区：[1]Department of Agriculture Technology,Faculty of Agriculture,Universiti Putra Malaysia,43400 Serdang,Selangor,Malaysia;[2]Department of Plant Protection,Faculty of Agriculture,Universiti Putra Malaysia,43400 Serdang,Selangor,Malaysia;[3]School of Systems,Management and Leadership,Faculty of Engineering and IT,University of Technology Sydney,Broadway,NSW 2007,Australia

出　　处：《Information Processing in Agriculture》索引2018年第5卷第3期,共18页

摘　　要：This paper reviews advanced Neural Network(NN)techniques available to process hyperspectral data,with a special emphasis on plant disease detection.Firstly,we provide a review on NN mechanism,types,models,and classifiers that use different algorithms to process hyperspectral data.Then we highlight the current state of imaging and nonimaging hyperspectral data for early disease detection.The hybridization of NNhyperspectral approach has emerged as a powerful tool for disease detection and diagnosis.Spectral Disease Index(SDI)is the ratio of different spectral bands of pure disease spectra.Subsequently,we introduce NN techniques for rapid development of SDI.We also highlight current challenges and future trends of hyperspectral data. 关键词：SPECTRAL NEURAL NETWORKS

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A review of neural networks in plant disease detection using hyperspectral data

参考文献(159)

引证文献(17)

耦合文献(241)

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