IoT Based Smart and Precise Autonomous Irrigation Management System
Traditional irrigation methods are highly inefficient, labor intensive, and results in water wastage. Additionally unpredicted weather, unanticipated rainfalls could compromise the crop health. Addressing all the challenges the proposed IoT system automates the irrigation by using real-time data such as rainfall, soil-moisture, humidity, temperature and crop area and sends to a python-based engine, which calculates water requirement, controls the water pumps in the fields through microcontroller NodeMCU, provides the required water to the crop. By doing so, the system not only conserves the water but also reduces the labor costs, prevents under- or over-irrigation, increases the crop productivity, promotes the sustainable farming practices. The updates regarding the irrigation can be viewed by the web application controlled by the python-engine. The system is versatile, suitable for open fields, aeroponic towers, gardens, small farms and research purposes. The desired objective is to reduce the water consumption by 40% and labor cost by 90%, make the irrigation efficient and reduce cost.
Authors
- V. S. Balaji
- Sudha Arvind (ORCID: https://orcid.org/0000-0002-4372-4848)
- N. Umakanth
- P Jashwanth
- Yalala Ambica
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/icccit62592.2025.10927789
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.75