International Journal of Research and Scientific Innovation (IJRSI)
Agriculture Field Surveillance System Along with Plant Disease Detection Using Raspberry Pi
Published June 10, 2026 • Vol. 13, Issue 5, pp. 2522–2529Open Access
DOI: 10.51244/IJRSI.2026.1305000226
Abstract
Agriculture is a crucial part of our living and survival of humankind. It provides us with foods, healthy environment, fresh air and all the necessities for leading a healthy life. Though agriculture plays an important role in our day-to-day life still it’s not getting the proper care and treatment because of lack of knowledge, costly supplies, and most importantly late monitoring of issues related to crops. Our project represents the modern technology solutions for these traditional issues, it implies instrument-based monitoring and proper artificial intelligence-based sickness detection of plants. As we know for humans 24/7 non-stop monitoring is not possible for several issues but our system is able to monitor the field 24/7 and record each & every movement for future analysis. It also captures images when irrelevant movement is found and detects if any plant is diseased or not. In human monitoring plant’s diseases is often detected late because of which the treatments are provided late and in most of the cases farmers couldn’t save the plants. But in our surveillance system diseases are detected on time and farmers get notified by our alert mechanism so that they can take action in time. We also provided wireless alert system through Telegram server so that user gets daily updates about their field and images of intruder detection, also it generates a health report regarding the diseased plants suggesting proper treatment remedies to cure the plants. Over all our project is a complete package of modern technology and artificial intelligence to serve society with greater efficiency.
Keywords: Smart Agriculture, Raspberry Pi, Computer Vision, Field Monitoring, Disease Detection
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 5 |
| Pages | 2522–2529 |
| Publication date | June 10, 2026 |
| DOI | 10.51244/IJRSI.2026.1305000226 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Hrittika Saha, Akangsha Sarkar, Baishali Sutradhar, Pratik Bhowmik, Debalina Deb, Bijoy Das, Piyush Singh, & Sutapa Debbarma (2026). Agriculture Field Surveillance System Along with Plant Disease Detection Using Raspberry Pi. International Journal of Research and Scientific Innovation (IJRSI), 13(5), 2522-2529. https://doi.org/10.51244/IJRSI.2026.1305000226
BibTeX
@article{Hrittika2026,
title = {Agriculture Field Surveillance System Along with Plant Disease Detection Using Raspberry Pi},
author = {Hrittika Saha and Akangsha Sarkar and Baishali Sutradhar and Pratik Bhowmik and Debalina Deb and Bijoy Das and Piyush Singh and Sutapa Debbarma},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {5},
pages = {2522--2529},
year = {2026},
doi = {10.51244/IJRSI.2026.1305000226},
publisher = {RSIS International}
}