Performance Analysis of Smart Farming System Based on IoT

Abstract

Over the past few years, technology and agriculture have come together in an unprecedented way as advances in the internet of things (IoT). The agricultural sector plays an important role in contributing to the economics of a country. The IoT-based agriculture leads to lucrative yields and there are several types of platforms used by farmers in increasing agricultural yields. Although there are many platforms related to modern agriculture, a less specific platform is used to study the types of crops suitable for planting based on the type of soil. Thus, this project system has introduced an IoTbased smart farming system based on the MIT App Inventor. The objective of this project is to develop a smart farming system that can help to monitor and analyze data of temperature (29 ℃ - 35 ℃), humidity (70% - 100%), soil
moisture (50% - 100%), and pH (5.5 - 7.0) of crops which been stored in ThingSpeak platform application. In addition to
monitoring, the actuator system also can be controlled by application developed in MIT 2 App Inventor. The system was
tested on okra plants and their vegetative traits were measured for 30 days. The result revealed good performance which
proves that the developed system is suitable for smart farming system.