Intelligent IoT based soil monitoring and irrigation system using fuzzy logic control andNodemcuesp8266 Microcontroller

Abstract

Internet of Things (IoT), is a well-known branch of computer science that has introduced intelligent farming to green agriculture. IoT depicts a self-configuring chain of components. The efficient implementation helps agriculture, and self-discipline as nicely as thriving for quality, increased yield, and reduced human work. The development of irrigated agriculture has become one of the most reliable strategies for increasing the world food supply in order to meet the ever-increasing demand for food by the increasingly complex and expanding global population of Homo sapiens. In areas of little rainfall, full-scale irrigation is practiced, but some of these irrigation methods are not very efficient thus causing farmers to lose about 50% of water supplied. The study is aim at evaluating environmental parameters such as soil moisture, temperature, and humidity while using the acquired data to develop an effective intelligent IoT-based automated soil monitoring and irrigation system. These data are stored on the IoT Thing-Speak platform in order to analyze the past conditions of plants and to predict their performance. Using the moisture sensor and the NodeMCUESP8266 microprocessor, this procedure will continue until the ideal moisture level is reached. Environmental conditions are monitored using temperature and humidity sensors. An intelligent IoT based automated soil monitoring and irrigation system get real-time data, increase crop performance and reduce the water that is lost in the irrigation process, also reduce the time spent on the field