Automatic vegetable disease identification approach using individual lesion features-Reference-Cited by-同舟云学术

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Automatic vegetable disease identification approach using individual lesion features

Published:2020-09 Issue: Volume:176 Page:105660
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Abdu Aliyu Muhammad,Mokji Musa Mohd,Sheikh Usman Ullah

Funder

Ministry of Education Malaysia and Universiti Teknologi Malaysia

Fundamental Research Grant Scheme

Publisher

Elsevier BV

Subject

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

Reference63 articles.

1. Machine vision Systems in Precision Agriculture for Crop Farming;Mavridou;J. Imag.,2019

2. Duarte, H.d.S.S., et al., Comparative epidemiology of late blight and early blight of potato under different environmental conditions and fungicide application programs. Semina: Ciências Agrárias, 2019. 40(5): p. 1805-1818.

3. Epidemiology: Past, Present, and Future Impacts on Understanding Disease Dynamics and Improving Plant Disease Management—A Summary of Focus Issue Articles;Ojiambo;Phytopathology,2017

4. Plant disease incidence: distributions, heterogeneity, and temporal analysis;Madden;Annu. Rev. Phytopathol.,1995

5. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging;Bock;Crit. Rev. Plant Sci.,2010

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