A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images-Reference-Cited by-同舟云学术

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A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images

Published:2023-10 Issue: Volume:5 Page:100316
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Noshiri Nooshin^ORCID,Beck Michael A.,Bidinosti Christopher P.,Henry Christopher J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference87 articles.

1. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications;Alzubaidi;J. Big Data,2023

2. Spectral information retrieval for sub-pixel building edge detection;Avbelj;ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci.,2012

3. An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture;Beck;PLoS ONE,2020

4. Spectral-Spatial Classification of Hyperspectral Remote Sensing Images;Benediktsson,2015

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