ItemConference Paper

Machine Learning Models for Apple Disease Detection With Texture Feature Fusion and Feature Selection

Title
Machine Learning Models for Apple Disease Detection With Texture Feature Fusion and Feature Selection
Creator
Prashant, C.; Acharya, Biswaranjan; Vijaya, P.; Bejoy, B.J.; Raju, G.; Singh, Ajay Vikram
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 and their fusion in identifying plant diseases from leaf images. Further, the performance of four feature selection algorithms is also evaluated. Texture features are extracted from resized raw images. Experiments are carried out with public data sets of Apple plants. Through extensive experimentation, two classifiers - Random forest and XGBoost are chosen for the evaluation. The feature fusion and feature selection resulted in 85% accuracy. The result is promising as the features are extracted from whole leaf images, without any segmentation. 2025 IEEE.
Source
2025 12th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Apple diseases; Boruta; feature fusion; LDA; PCA; Random Forest; ReliefF; texture features; XGBoost
Coverage
Prashant C., Christ University, Bengaluru, India; Acharya B., Marwadi University, Department of AI, Ml and Ds, Rajkot, India; Vijaya P., Modern College of Business and Science, Department of Mathematics and Computer Science, Bowshar, Muscat, Oman; Bejoy B.J., Christ University, Bengaluru, India; Raju G., Sahrdaya College of Engineering and Technology, Kerala, Thrissur, India; Singh A.V., Aiit, Amity University, Uttar Pradesh, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833155421-7;
Format
online
Language
English
Type
Conference paper

Citation

Prashant, C.; Acharya, Biswaranjan; Vijaya, P.; Bejoy, B.J.; Raju, G.; Singh, Ajay Vikram, “Machine Learning Models for Apple Disease Detection With Texture Feature Fusion and Feature Selection,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26103.

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