
International Journal on Science and Technology
E-ISSN: 2229-7677
•
Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 16 Issue 2
2025
Indexing Partners



















Smart Plant Health Monitoring System Using AI
Author(s) | Karthik H G, Padmanabha B K, Pallavi H S |
---|---|
Country | India |
Abstract | The Smart Plant Health Monitoring System utilizes IoT sensors, machine learning, and automated irrigation to monitor soil moisture, temperature, humidity, and plant diseases in real-time. It provides early detection of issues, automated alerts, and optimized water usage, helping farmers improve crop health and productivity. This system ensures efficient resource management and supports sustainable precision farming. |
Keywords | Keywords: Agriculture, affected plants, Soil moisture, Image processing, Diseases detection, Smart irrigation |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 16, Issue 1, January-March 2025 |
Published On | 2025-03-28 |
Cite This | Smart Plant Health Monitoring System Using AI - Karthik H G, Padmanabha B K, Pallavi H S - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2971 |
DOI | https://doi.org/10.71097/IJSAT.v16.i1.2971 |
Short DOI | https://doi.org/g896d5 |
Share this


CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
