Machine Learning Techniques for VLSI Chip Design

9Smart Irrigation System Using Machine Learning Techniques

B. V. Anil Sai Kumar, Suryavamsham Prem Kumar, Konduru Jaswanth, Kola Vishnu and Abhishek Kumar*

School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India

Abstract

Agriculture plays an important role in India, due to its vast population and the quality of its irrigation soil. This project proposes the improvement that can be made in the Irrigation system in a smart way using present-era technology. A Smart Irrigation System using Machine Learning Techniques is a prototype-based project which gives the basic idea to make changes and improvement in our old traditional irrigation methods to reduce the use of water as well as the manpower in farming. The precise sensing of soil moisture sensor gives the input by providing enough amount of water to the field. It helps in improving the growth of plants and prevents overflow of water which reduces leaching and helps in areas where there is water scarcity. Moreover, the other parameter it has is a temperature sensor which provides us with the accurate temperature of soil. Further, the prototype has an Arduino UNO board which helps us to display the input and output readings on an LCD display and record the values in an Excel sheet to predict the decision using machine learning technique.

Keywords: Irrigation, water pump, smart agriculture, ANN, proteus, Arduino

9.1 Introduction

Water is required for optimum plant growth. An irrigation ...