IoT-Based Agriculture Monitoring and Smart Irrigation System
A significant obstacle in contemporary farming is the inefficient administration of water; with the development of conventional irrigational methods, farmers must depend on visual evaluation of when it is appropriate to irrigate their crops, or strictly adhere to an established re-occurring watering schedule; generally resulting in an over-application of water and a decrease in crop yield. In this article, we have developed an IoT-Based Automated Smart Irrigation System with AI technology to provide "real-time" monitoring, and intelligent decision-making for the purposes of using less water. The Smart Irrigation System runs off a combination of different types of sensors which allow the Smart Irrigation System to have continual access to real-time environmental data; all of this data is collected and processed by an ESP32 microcontroller, and then uploaded to a cloud-based platform where all data is being stored, visualized and controlled remotely.
Authors
- N. B. Kadu
- Sinare Harshad Bharat
- Jadhav Ritu Dattatray
- Tambe Sudarshan Navnath
- Kakade Samarth Ramesh
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-21
- DOI
- https://doi.org/10.5281/zenodo.19675541
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00