Intelligent Irrigation System Based on ML and IoT

Authors

  • Prof. Shrikant Kokate Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Durga Late Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Mrunali Padwal Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Vivek Khatri Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Karthi Dhanasekaran Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA

DOI:

https://doi.org/10.31033/ijemr.11.6.6

Keywords:

Machine Learning, IoT, Ensemble Algorithm, Random Forest Regression, GBRT, SVR

Abstract

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.

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Published

2021-12-04
CITATION
DOI: 10.31033/ijemr.11.6.6
Published: 2021-12-04

How to Cite

Prof. Shrikant Kokate, Durga Late, Mrunali Padwal, Vivek Khatri, & Karthi Dhanasekaran. (2021). Intelligent Irrigation System Based on ML and IoT. International Journal of Engineering and Management Research, 11(6), 34–41. https://doi.org/10.31033/ijemr.11.6.6

Issue

Vol. 11 No. 6 (2021): December Issue

Section

Articles

License

Copyright (c) 2021 Prof. Shrikant Kokate, Durga Late, Mrunali Padwal, Vivek Khatri, Karthi Dhanasekaran

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.