Machine Learning Applied To Plant Disease Detection-Reference-Cited by-同舟云学术

Machine Learning Applied To Plant Disease Detection

Published:2022-11-09 Issue: Volume: Page:
ISSN:
Container-title:2022 1st International Conference on Computational Science and Technology (ICCST)
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Author:

Jadhav Sushant¹,Rudrappa Gujanatti¹,Tigadi Arun¹,Chilad Bharati²,Urabinahatti Sachin³,Chougula Basavaraj⁴,Bagali Vinayakumar R⁴

Affiliation:

1. KLE Dr. MS Sheshgiri College of Engineering and Technology, VTU,Department of Electronics and Communication,Belagavi,Karnataka,India

2. KLE Dr. M S Sheshgiri College of Engineering and Technology, VTU,Department of CSE,Belagavi,Karnataka,India

3. Tatyasaheb Kore Institute of Engineering and Technology, Shivaji University,Computer Sciecne Engineering,Warnanagar, Kolhapur,Maharastra,India

4. Jain College of Engineering, VTU,Department of Electronics and Communication,Belgaum,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10040259/10040268/10040390.pdf?arnumber=10040390

Reference13 articles.

1. Prediction of the Most Productive Crop in a Geographical Area Using Machine Learning | SpringerLink;karwande;Prediction of the Most Productive Crop in a Geographical Area Using Machine Learning | SpringerLink,2020

2. Classification of cotton leaf spot diseases using image processing edge detection techniques

3. Cloud Classification Using Ground Based Images Using CBIR and K- Means Clustering | Bioscience Biotechnology Research Communications;rudrappa;Cloud Classification Using Ground Based Images Using CBIR and K- Means Clustering | Bioscience Biotechnology Research Communications,0

4. Plant Disease Detection Using CNN;kumar;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. Recognition of tomato foliage disease based on computer vision technology;ali;Acta Horticulturae Sinica 2010,2010

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