Corn seedling recognition algorithm based on hyperspectral image and lightweight-3D-CNN-Reference-Cited by-同舟云学术

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Corn seedling recognition algorithm based on hyperspectral image and lightweight-3D-CNN

Published:2022-10 Issue: Volume:201 Page:107343
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Diao Zhihua,Yan Jiaonan,He Zhendong,Zhao Suna,Guo Peiliang

Funder

Science and Technology Department of Henan Province

National Natural Science Foundation of China

Department of Science and Technology of Henan Province

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference34 articles.

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2. Robot for weed species plant-specific management;Bawden;J. Field Rob.,2017

3. Chollet, F., 2017. Xception: Deep learning with depthwise separable convolutions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1800–1807. Available from: .

4. Fast and accurate deep network learning by exponential linear units (ELUs);Clevert;Comput. Sci.,2015

5. A novel unsupervised bands selection algorithm for Hyperspectral image;Du;Optik – Int. J. Light Electron Optics,2018

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