Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16664
Title: Intelligent IoT based soil monitoring and irrigation system using fuzzy logic control and Nodemcuesp8266 Microcontroller
Authors: Anunuso, Justice Chikezie
Agonga, Fred O.
Alkali, Babawuya
Anifowoshe, Akeem O.
Ikwouazom, Callistus T.
Ayuba, Jatau E.
Keywords: IoT
Thing-speak
NodeMCU
DHT 11
Soil Moisture sensor
Temperature and Humidity sensor
Issue Date: 17-Dec-2022
Publisher: Global Journal of Engineering and Technology Advances (GJETA)
Series/Report no.: Volume 13 Issue 3;
Abstract: Internet of things (IoT), 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, a self- discipline as nicely as thriving for quality, increased yield and reduced human work. Development of irrigated agriculture has become one of the most reliable strategies of increasing 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 practices, 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 to the IoT Thing-Speak platform in order to analyze 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 the
URI: https://doi.org/10.30574/gjeta.2022.13.3.0203
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16664
ISSN: e-ISSN: 2582-5003
Appears in Collections:Information and Media Technology

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