Analysis of Tomato Leaf Disease Identification Techniques

Journal: Journal of Computer Science Review and Engineering · ISSN 1694-4488
Publisher: Academic Ink Review Journal
Published:
Year: 2022
Volume: 1 · Issue: 1
DOI: 10.36596/jcse.v2i2.171
URL:
License: CC BY 4.0

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

Open access article published under CC BY 4.0 by Academic Ink Review Journal.
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