Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network-Reference-Cited by-同舟云学术

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Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network

Published:2021 Issue:2 Volume:14 Page:167-174
ISSN:1934-6344
Container-title:International Journal of Agricultural and Biological Engineering
language:en
Short-container-title:

Author:

Zhao Jing, ,Pan Fangjiang,Li Zhiming,Lan Yubin,Lu Liqun,Yang Dongjian,Wen Yuting, ,

Publisher

International Journal of Agricultural and Biological Engineering (IJABE)

Subject

General Engineering,General Agricultural and Biological Sciences

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate and visualiable discrimination of Chenpi age using 2D-CNN and Grad-CAM++ based on infrared spectral images;Food Chemistry: X;2024-10

2. Automatic acquisition, analysis and wilting measurement of cotton 3D phenotype based on point cloud;Biosystems Engineering;2024-03

3. A Review on Analysis Method of Proximal Hyperspectral Imaging for Studying Plant Traits;Pertanika Journal of Science and Technology;2023-10-03

4. An Intelligent Sorting Method of Film in Cotton Combining Hyperspectral Imaging and the AlexNet-PCA Algorithm;Sensors;2023-08-09

5. A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture;Computers and Electronics in Agriculture;2023-07

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