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 detection
Published
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
- Adith Ajay, Automatic Fall Detection And Alert System For Home Safety , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anu Rose Joy, An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. Indu John, A Adithya, Alwin Rajan, Amal Biso George, Farhaan M Hussain, HEALTH GUARD-A Multiple Disease Prediction Model Based on Machine learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anu Joseph, Arya Harish, Anik Tom Saji, Arya Manoj, Aju Mathew George, An In- Depth Investigation of the Emerging Role of Electrocoagulation in Cutting Edge Wastewater Treatment Practices , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): 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
- Jyothis Joseph , Ajay K Baiju, Ganga Binukumar, Akshara Manoj, Sandra Elizabeth Rony, A Crowd Monitoring and Real-Time Tracking System using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- NS AkhilRaj, Snehil Jacob Raju, John Basil Varghese, Sreeraj K S, Yadukrishnan P, Directio-AR Assisted ShopMate , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): 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
- Amal P Varghese , Juby Mathew, Advancements in Vehicular Communication Systems: Integrating IoT, Edge Cloud Computing, Microgrid Energy Management, Blockchain, AI, and Simulation Tools , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
You may also start an advanced similarity search for this article.