Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network

Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network

Cold damage is one of the disasters that cause significant loss and irreversible damage in crop production. To avoid yield loss, high-throughput phenotyping can be used to select the crop varieties with cold stress resistance. Nowadays, non-destructive spectral image analysis has become an effective...

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Bibliographic Details
Main Authors: Wei Yang, Ce Yang, Ziyuan Hao, Chuanqi Xie, Minzan Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
CNN
deep learning
cold damage
hyperspectral imaging
high-throughput phenotyping
corn
Online Access:https://ieeexplore.ieee.org/document/8809748/

Internet

https://ieeexplore.ieee.org/document/8809748/

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