ItemConference Paper

A Study on the Selection of Features, Classifiers, and Resampling in Plant Disease Detection from Leaf Images

Title
A Study on the Selection of Features, Classifiers, and Resampling in Plant Disease Detection from Leaf Images
Creator
Prashaant, C.; Bijeesh, T.V.; Bejoy, B.J.; Raju, G.
Description
Computer vision has become an integral part of modern agriculture. One of the key applications of computer vision is the automatic detection and classification of plant disease from digital images of plant leaves. In this study, we evaluate the discriminatory capability of selected texture features in identifying plant diseases from leaf images. Texture features are extracted from resized raw images. Experiments are carried out with public data sets of five different plants. Through extensive experimentation, two classifiersRandom forest and XGBoost are chosen for the evaluation. The class imbalance problem is addressed with a simple resampling. Resampling considerably improves the prediction accuracy. With the raw input images, the best feature as well as classifier depends on the plant type and the quality of the input images. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Source
Lecture Notes in Networks and Systems;Volume;1834 LNNS;pp.297-310
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Machine learning; Plant diseases; Texture features
Coverage
Prashaant C., CHRIST University, Bengaluru, India; Bijeesh T.V., CHRIST University, Bengaluru, India; Bejoy B.J., CHRIST University, Bengaluru, India; Raju G., Sahrdaya College of Engineering and Technology, Kerala, Thrissur, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981957240-3;
Format
online
Language
English
Type
Conference paper

Citation

Prashaant, C.; Bijeesh, T.V.; Bejoy, B.J.; Raju, G., “A Study on the Selection of Features, Classifiers, and Resampling in Plant Disease Detection from Leaf Images,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25451.

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