Internet of Things (IOT) Based Electronic Pest Control Using Image Processing System

Information Technology

This paper explores the possibilities of integrating the science of image processing of a plant leaf and integrate the results to fulfilling an outcome for pest control using Ultrasonic sound and Radio Frequency through the use of Internet of Things. The temperature and humidity sensors also play a vital role in gathering the supporting data needed to reach the outcome using beta regression model to predict a protection plan evaluated using the python programming language and combining it with the main hardware such as Raspberry Pi. The whole system is dedicated to using alternate systems instead of pesticides or bring down the use of pesticides to a minimum level. As the pesticides companies keep increasing the cost of their product while farmers do not get enough value of their home grown local produce, it is essential for us and science to find cheaper ways to protect and manage farming. The whole system is supported by use of cloud storage and computing giving the real time data to the farmers in a very simple language of their understanding on their phone

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