Cloud Based Irrigation System with IoT and Machine Learning
Devareddy Harsha , Ziyad Ahmed Mohammed, Rashmith Reddy Arra
There is a growing demand for electrical energy requirements in India. Nowadays, people tend to maintain home gardens, Terrace farms, and Mini farms. This Maintenance growth has been possible because of a timely and adequate supply of water. The irrigation depends on the groundwater availability, but as per the census of 2017, the groundwater levels have dropped down by 61% from 2007. Therefore, water usage with effective power consumption is of at most importance. Despite their desire to maintain, people take a step back, owing to time constraints, their busy lives, and the unavailability of a person to look after farms. Hence, the Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system with Cloud integration is employed to address the farms. The system forecasts using SVM and reports graphically, the irrigation requirement of the field using several environmental parameters along with weather forecasting that assists the growth of the crops with the effective use of water and power conserving initiatives is presented in this paper.
Internet of Things, Machine Learning, Cloud, Terrace farms, SVM, Decision Tree
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[Devareddy Harsha , Ziyad Ahmed Mohammed, Rashmith Reddy Arra (2022) Cloud Based Irrigation System with IoT and Machine Learning IJIREM Vol-9 Issue-3 Page No-106-111] (ISSN 2350 - 0557). www.ijirem.org
Assistant Professor, Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology (A), Telangana, India