An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection' (vol 7, pg 46261, 2019)

Journal article

Open access

Peer reviewed

Muhammad Attique Khan, M. Ikram Ullah Lali, Muhammad Sharif, Kashif Javed, Khursheed Aurangzeb, Syed Irtaza Haider, Abdulaziz Saud Altamrah and Talha Akram

IEEE access, Vol.8, pp.36514-36514

01/01/2020

Abstract

Computer Science

Computer Science, Information Systems

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

url

https://doi.org/10.1109/ACCESS.2020.2974161View

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Title: An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection' (vol 7, pg 46261, 2019)
Creators - without role: Muhammad Attique Khan - HITEC University
M. Ikram Ullah Lali - University of Gujrat
Muhammad Sharif - COMSATS University Islamabad
Kashif Javed - National University of Sciences and Technology
Khursheed Aurangzeb - King Saud University
Syed Irtaza Haider - King Saud University
Abdulaziz Saud Altamrah - King Saud University
Talha Akram - COMSATS University Islamabad
Publication Details: IEEE access, Vol.8, pp.36514-36514
Publisher: IEEE
Number of pages: 1
Identifiers: 9948703308331
Academic Unit: King Saud University; King Fahd University of Petroleum & Minerals
Language: English
Resource Type: Journal article