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

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
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article

IoT-Based Agriculture Monitoring and Smart Irrigation System

N. B. Kadu, Sinare Harshad Bharat, Jadhav Ritu Dattatray, Tambe Sudarshan Navnath et al.
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

IoT-Based Agriculture Monitoring and Smart Irrigation System

N. B. Kadu, Sinare Harshad Bharat, Jadhav Ritu Dattatray, Tambe Sudarshan Navnath, Kakade Samarth Ramesh
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 7%
Smart Agriculture and AI
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