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.
Cite this article
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 -