Aug 22, 2019 � This study used convolutional neural network (CNN) model to extract spectral features in the visible-near-infrared range to estimate cold damage�...
Aug 22, 2019 � This study used convolutional neural network (CNN) model to extract spectral features in the visible-near-infrared range to estimate cold damage�...
This study used convolutional neural network (CNN) model to extract spectral features in the visible-near-infrared range to estimate cold damage of corn�...
It is proved that spectral analysis based on CNN modeling can provide reference for detecting cold damage in corn seedlings. Cold damage is one of the�...
Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network. Cold damage is one of the disasters that cause significant�...
Hyperspectral images can provide highly accurate spectral information for plant stress analysis [9, 10] and overall plant assessment [11] because hundreds of�...
Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network � Hyperspectral imaging � Stress � Feature extraction � Agriculture�...
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Jun 26, 2024 � Diagnosis of plant cold damage based on hyperspectral imaging and convolutional neural network. IEEE Access 7, 118239–118248. doi: 10.1109�...
Publications - Agricultural Robotics Lab - University of Minnesota
yanglab.bbe.umn.edu › publications
1427-1433. Yang, W., Yang, C.*, Hao, Z., Xie, C. and Li, M. Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network.
This paper aims to provide an overview of the literature on HRS for disease detection based on deep learning algorithms.
Missing: Cold Damage