Design and development of a sustainable and automated irrigation system based on a multi-depth sensor fusion mechanism

SrikarEmany, Adithya P Rajeev, Sreehari V, Anjali C V, Sreenath Vijayakumar, Satyajit Das

Abstract: This project addresses the critical issue of irrigation water conservation by leveraging smart technologies and innovative methodologies to improve the accuracy and efficiency of irrigation systems. The existing irrigation practices often suffer from inaccurate measurements and the lack of automation, leading to inefficient water usage and potential environmental concerns. In response to these challenges, we introduce a standalone, fully automated irrigation model that requires no human intervention, thus minimizing the risk of human error. The proposed solution incorporates two key components to enhance irrigation efficiency: Multi-depth Soil Moisture Sensing and Spatial Interpolation to predict moisture distribution. The reliability and effectiveness of this approach have been well-established, and we are eager to implement it in practical settings to promote sustainable and efficient water usage in agriculture. This project represents a significant step towards addressing water scarcity and promoting responsible irrigation practices, benefiting both the environment and agricultural productivity. The sensor prototype was developed and tested in-house and the water conserved through this approach is estimated for inference. This proven method is ongoing vigorous testing at SATCARD (Smart Agri Tech Centre for Advanced Research and Development), IIT Palakkad.

Video URL: https://drive.google.com/drive/folders/1j1Yci9zA7Yknw4hprRn10h4Y8GllOtoV?usp=sharing

Repository URL: https://drive.google.com/drive/folders/1N-YvC6hPNhpG2-BQHnu6HzOz6Z7WZrP7

Submission Number: 13