Application of thermal and visible imaging to estimate stripe rust disease severity in wheat using supervised image classification methods-Reference-Cited by-同舟云学术

Application of thermal and visible imaging to estimate stripe rust disease severity in wheat using supervised image classification methods

Published:2022-11 Issue: Volume:71 Page:101774
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Singh RN,Krishnan Prameela,Singh Vaibhav Kumar,Banerjee Koushik

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference53 articles.

1. A framework for detection and classification of plant leaf and stem diseases;Al Bashish,2010

2. Impact of primary infection site of Fusarium species on head blight development in wheat ears evaluated by IR-thermography;Al Masri;Eur. J. Plant Pathol.,2017

3. Comparison of four classification methods to extract land use and land cover from raw satellite images for some remote arid areas, Kingdom of Saudi Arabia;Al-Ahmadi;JKAU; Earth Sci.,2009

4. Non-destructive technologies for plant health diagnosis;Ang;Front. Plant Sci.,2022

5. Review on techniques for plant leaf classification and recognition;Azlah;Compute,2019

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