Deep Learning Based Rice Plant Disease Detection

DOI

10.2991/978-94-6463-716-8_34How to use a DOI?

Keywords

Deep Learning; Image Processing; Leaf Image Classification; Machine Learning; Rice Plant Disease Detection

Abstract

In this paper, rice plant leaf image classification has been discussed to develop a decision support model for Indian farmers. In this context, first an architecture of the proposed decision support model has been explained. Next the required components of the proposed model are discussed. Additionally, different Machine Learning (ML) and Deep Learning (DL) techniques have been implemented and experiments have been carried out. The experiments on the Mendeley dataset have been done. Furthermore, a comparative performance study was performed to select an accurate and efficient data model. Finally, the results have been discussed and a conclusion is provided.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gaurav Shrivastava
AU  - Sachin Patel
PY  - 2025
DA  - 2025/05/26
TI  - Deep Learning Based Rice Plant Disease Detection
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 423
EP  - 435
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_34
DO  - 10.2991/978-94-6463-716-8_34
ID  - Shrivastava2025
ER  -