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Computer aided agriculture development for crop disease detection by segmentation and classification using deep learning architectures

  • Published:2022-10 Issue: Volume:103 Page:108357
  • ISSN:0045-7906
  • Container-title:Computers and Electrical Engineering
  • language:en
  • Short-container-title:Computers and Electrical Engineering

Author:

Raj Nirmal,Perumal Senthil,Singla Sanjay,Sharma Girish Kumar,Qamar Shamimul,Chakkaravarthy A. Prabhu

Funder

Deanship of Scientific Research, King Faisal University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference17 articles.

1. A review: cotton leaf disease detection;Supriya;IOSR J VLSI Signal Process (IOSR-JVSP),2016

2. Utility system for premature plant disease detection using machine learning;Sowmya,2020

3. Plant leaf disease detection and classification using image processing;Oo;Int J Res Eng,2018

4. An automated detection and classification of citrus plant diseases using image processing techniques: a review;Iqbal;Comput Electron Agric,2018

5. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection;Sharif;Comput Electron Agric,2018

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