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Internet of things based agricultural drought detection system: case study Southern Somalia

Dahir, Abdukadir (2023) Internet of things based agricultural drought detection system: case study Southern Somalia. Bulletin of Electrical Engineering and Informatics.

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Abstract

Drought is defined as a protracted lack of precipitation that lasts at least a
season, resulting in a water deficit that affects plants, animals, and humans.
It is a widespread and repeating feature of climate change in practically all
temperate zones, ranging from excessively wet to burned. In Somalia, the
government and farmers lack the technological skills to identify and monitor
recurrent environmental issues. Our research created a technique for
detecting droughts early on to reduce their impact. Using internet of things
(IoT) devices, we created a system that measures temperature, humidity, and
soil moisture. We then examined the data and used a line chart to show it in
a web application (PHP and MySQL). The device reads these environmental
parameters using an Arduino Uno, a DHT11 sensor, and a soil moisture
sensor. The system deployed provides a real-time, cost-effective method for
monitoring and controlling drought in modern agriculture.

Item Type: Article
Subjects: A General Works > AC Collections. Series. Collected works
Divisions: Faculty of Computing
Depositing User: Unnamed user with email crd@smiad.edu.so
Date Deposited: 20 Sep 2025 13:34
Last Modified: 20 Sep 2025 13:34
URI: https://repository.simad.edu.so/id/eprint/429

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