AN IMPLEMENTATION OF AGRICULTURAL SENSORS BASED ARTIFICIAL INTELLIGENT IRRIGATION SYSTEM (AIIS) USING DEDICATED MACHINE LEARNING ALGORITHM

Abstract
In India, rural agriculture plays an important role in the development of the country. Basically, agriculture depends on the rainy season when there are not enough water sources. To overcome this problem, The Irrigation System works in the field of agriculture. In this system, water is supplied to the agricultural field depending on the soil type. In agriculture, there are two things, namely soil moisture and soil fertility. Currently, there are many different techniques for irrigation to reduce the need for rainfall. This paper discusses an implementation of the smart irrigation system using IoT. This type of technique is powered by an on / off table using electric power. The Hardware and software requirements for this model include the Arduino UNO, Soil Moisture Sensor, Wi-Fi module ESP8266, Arduino CC (IDE), Android Studio and MySQL.

Authors
S. Praveena
Paavai College of Engineering, India

Keywords
Rural Agriculture, Water Sources, Irrigation System, IoT, Arduino, Soil Moisture Sensor, Wi-Fi Module
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 3 , Issue: 2 )
Date of Publication :
March 2022

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