Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Rice Sentinel: Advanced Precision Agriculture Tool for Real-Time Disease Monitoring with Raspberry Pi

Authors
Poornima Seralathan1, *, Shirly Edward1
1Department of ECE, SRM Institute of Science and Technology, Vadapalani, Chennai, India
*Corresponding author. Email: ps0350@srmist.edu.in
Corresponding Author
Poornima Seralathan
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_74How to use a DOI?
Keywords
Random Forest; Raspberry Pi; Deep Learning; Machine
Abstract

With the ability to feed billions of people worldwide, rice is one of the most significant staple crops. However, a number of illnesses regularly threaten its production, resulting in large yield losses. Effective management and mitigation methods for many diseases depend on early detection and diagnosis. Technological developments in the last few years have opened the door for creative approaches to problems in agriculture. This study’s primary goal is to identify the disease in rice by looking at its leaves. This study looked at the advantages of diagnosing disease using techniques from machine learning as well as deep learning. The study’s goal of recognizing and categorizing the type of disease present in the leaf using a Raspberry Pi classifier is successfully accomplished. The image acquired with the Pi cam was classified in real time to test the system algorithm. With random forest, the best accuracy of 95.92% was thus attained.

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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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_74How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Poornima Seralathan
AU  - Shirly Edward
PY  - 2025
DA  - 2025/06/30
TI  - Rice Sentinel: Advanced Precision Agriculture Tool for Real-Time Disease Monitoring with Raspberry Pi
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 849
EP  - 861
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_74
DO  - 10.2991/978-94-6463-754-0_74
ID  - Seralathan2025
ER  -