TY - EJOUR
AU - Jasim, Hawraa N.
AU - Abdul-Rahaim, Laith A.
PY - 2024
DA - February
TI - Design and Implementation of Cloud Computing Smart Irrigation System
T2 - Majlesi Journal of Electrical Engineering
VL - 17
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/design-and-implementation-of-cloud-computing-smart-irrigation-system/
DO - 10.30486/mjee.2023.1986597.1139
N2 - A multidimensional approach to technology breakthroughs, including innovations in sensors, artificial intelligence and cloud technology, is driving automation. In past few years, people have started for using electronic machines more frequently than traditional ones. As a result, this study suggests a technique wherein moisture sensors are positioned beneath plants or trees. The microcontroller activates the motor and reuses the water flow after receiving sensor data from the gateway unit. The irrigation system makes use of the Internet of Things (IoT), which is composed of two microcontrollers: the Arduino Uno for controlling relay that acts as switch for water flow and the NodeMCU with Wifi module for cloud computing. It also includes two sensors: the DHT11 and Soil Moisture. In order to monitor the state of the land, this should automatically irrigate dependent on the soil moisture, ambient temperature, and humidity. It will also communicate data to the ThingSpeak program as a cloud server. A water pump unit is also a component of the system, and it will be used to spray water on the land depending on weather and soil conditions read by sensors.This method can be used to create smart farming practices and smart lives in the future.
IS - 2
PB - OICC Press
KW - IoT, Modified PWM method, Smart Irrigation, ThingSpeak, NODEMCU 
EN -