HydroSavvy: Modernizing Agriculture with Intelligent Irrigation Solutions Using IoT

This research introduces a new term, Hydro-Savvy. It is an innovative, intelligent irrigation system that optimizes water application and increases crop yields using the Internet of Things, Artificial Intelligence, and advanced sensors. Among the features include the mesh network of soil moisture sensors to obtain real-time data on scheduling irrigation, flow meters that offer insight into water usage, and leak detection to monitor the pump and valves in order not to waste water. It is accessible even where the internet might be small, and it uses solar panels with a battery backup to work 24/7. The multilingual AI mobile application supports voice commands and assists in real-time water consumption tracking, maintaining logs of irrigation activities, efficiency reports, and guidelines for saving water. The system integrates with the weather API, thus preventing drought irrigation, while machine learning models predict the likelihood of future irrigations as required based on data about weather, soil, and crops. The backend coding is Node.js, with data stored on Google Cloud and Firebase. This research exemplifies the potential for IoT and AI to revolutionize water management toward sustainability and better agricultural productivity.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/icdsaai65575.2025.11011801
Citations
1
Primary Topic
Agricultural Development and Policies
Type
article
Field-Weighted Citation Impact
1.90
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HydroSavvy: Modernizing Agriculture with Intelligent Irrigation Solutions Using IoT

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HydroSavvy: Modernizing Agriculture with Intelligent Irrigation Solutions Using IoT

K. Sasi Kumar, P. Nagaraj, N Akhilesh, B Meghana, Madala Chaitanya Prabhu, Narayanam Srivasudevavachaspathi
article en
1 citations

Abstract

This research introduces a new term, Hydro-Savvy. It is an innovative, intelligent irrigation system that optimizes water application and increases crop yields using the Internet of Things, Artificial Intelligence, and advanced sensors. Among the features include the mesh network of soil moisture sensors to obtain real-time data on scheduling irrigation, flow meters that offer insight into water usage, and leak detection to monitor the pump and valves in order not to waste water. It is accessible even where the internet might be small, and it uses solar panels with a battery backup to work 24/7. The multilingual AI mobile application supports voice commands and assists in real-time water consumption tracking, maintaining logs of irrigation activities, efficiency reports, and guidelines for saving water. The system integrates with the weather API, thus preventing drought irrigation, while machine learning models predict the likelihood of future irrigations as required based on data about weather, soil, and crops. The backend coding is Node.js, with data stored on Google Cloud and Firebase. This research exemplifies the potential for IoT and AI to revolutionize water management toward sustainability and better agricultural productivity.

Kalasalingam Academy of Research and Education (IN)
Zero hunger
Openalex Percentile: Top 16%
Agricultural Development and Policies
1.90
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