Internet of Things Based Intelligent Water Management System for Plants

Abstract

Water has an important role for crops.Every crop needs water to survive.The amount of water that crops need, in different regions and seasons, is different.To calculate the amount of water needed by the crop precisely require careful analysis of the available supporting data.In practice, the fulfilment of water needs in crops is only based on soil moisture without being adjusted to weather data.Thus, water is often wasted, for example when watering during high rainfall.Therefore, we need a system that can determine the volume of water requirements in crops based on its conditions, watering schedules, and weather data.This research aims to build a monitoring system for crops that can determine the right watering volume by considering soil moisture, air temperature and humidity, watering schedules, and weather data by utilizing the fuzzy method.Based on the results of our experiments, the system has managed to monitor crops and display watering volume notifications when its conditions are not normal and when to do watering based on the weather.