1Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
2Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
3Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
4Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
5Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
*Corresponding Author: mrunali2727@gmail.com
Online published on 19 April, 2022.
Machine Learning and Internet of Things (IoT) is making advancements in the agricultural sector for better yield quality and effective farming strategies. Due to scarcity of clean water, optimal use of water is required. Less amount of water or excess water can damage the crop. To avoid this, we are designing an Intelligent Irrigation System with the help of IoT and ML Algorithms. ML can help in improving the Irrigation System in such a way that it eradicates crop disease due to excess irrigation, increases yield, optimizes water usage, hence saving clean water. This survey paper aims to help farmers to improve their productivity and quality of crops.
Machine Learning, IoT, Ensemble Algorithm, Random Forest Regression, GBRT, SVR
