AGRISEN Precise irrigation System and Smart health monitoring system
Abstract
The Smart Gardening System utilizing IoT is a
transformative approach that integrates technology with gardening practices. By employing IoT sensors, real-time data is
collected on crucial factors like soil moisture, temperature and
humidity. This data is processed to offer actionable insights
and personalized recommendations for optimal plant care. With
automated irrigation control, water usage is optimized based
on accurate soil moisture readings, promoting efficient resource
management. The system empowers users to remotely monitor
and manage theirgardens using smartphones or computers,
simplifying gardening tasks and making them accessible to all.
The system also integrates detection of plant diseases which
empowers plant growth and health. The Smart Gardening System
emphasizes a harmonious blend of modern technology and
nature, catering to the needs of both seasoned gardeners and
those new to the endeavour
Keywords:
Smart Irrigation, Water Level, Sensor, Type of plant, Plant disease detectionPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Abhijith J, Athul Krishna S, Amarthyag P, Angela Rose Baby, Mekha Jose, CATARACT DETECTION USING DIGITAL CAMERA IMAGES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Linsa Mathew, Jifith Joseph, George P Kurias, Gokul Krishna A U, Sharunmon R, TraceFusion: Precision AI for Missing and Wanted Person Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Joel Judish, Samrudh Salas, Farhaan Zuhair, Muhammed Zakkariya M, Juby Mathew, SkinGuard: An EfficientNet Model for Skin Cancer and M-pox Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- ASHNA SHAJI, ABHIRAMI P, AKSA K THOMAS, AMINA R SHAJI, GEEVA GEORGE, Assessing Inland Waterway Service Quality Using SERVQUAL and IPA Analysis , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Ansamol Varghese, Anoushkha Tresa, Athira John, Ignatious Ealias Roy, M S Gautham Sankar, A Machine Learning Approach to Fake News Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Evelyn Susan Jacob, Joel John, Raynell Rajeev, Steve Alex , Syam Gopi , Malware Classification using Image Analysis , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jincy Lukose, Anita Ann Joseph, Meenakshy BR , Nevin Siby, Rosaine P Lal , ENHANCED PNEUMONIA DETECTION IN CHEST X-RAYS USING ATTENTION AND FNMS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Tiny Molly v, Alanta Maria Shaji , Adithya Biju , Anjali Krishna Satheesh , Athulya Pradeep, Literature Survey On Cloudsentry AI , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nevin Thankachan, Ameen C H, S Sidhardh, A Literature Review On Machine Learning-Based Phishing Detection Systems , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
