Analysis of Tomato Leaf Disease Identification Techniques
Authors: Chopra, G., Whig, P.
Journal: Journal of Computer Science Review and Engineering (JCSRE), ISSN 1694-4488
Citation: JCSRE 1(1), 2022-08-11.
DOI: 10.36596/jcse.v2i2.171
PDF: Download full-text PDF
Type: Original Research
Abstract
This paper presents an overview of various image processing and machine learning techniques for tomato leaf disease identification. It discusses image acquisition, pre-processing, segmentation, feature extraction, and classification methods, aiming to provide a comprehensive resource for researchers in this field.
Keywords
Tomato Leaf Disease, Image Processing, Machine Learning, Disease Identification, Agricultural Automation
Full Text
This paper presents an overview of various image processing and machine learning techniques for tomato leaf disease identification. It discusses image acquisition, pre-processing, segmentation, feature extraction, and classification methods, aiming to provide a comprehensive resource for researchers in this field.