Cloud Computing Based Smart Irrigation System for Big Farms

Authors : Haider A Kamel, Laith Ali Abdul Rahim

Pages : 127-132

View : 33 | Download : 19

Publication Date : 2024-12-22

Article Type : Research Paper

Abstract :The main purpose of this study is to determine the optimum consumption of water and the required water consumption in agricultural irrigation systems. A smart irrigation system includes utilizing innovation to optimize and computerize the watering of plants. It regularly utilizes sensors, climate information, and mechanization frameworks to convey the proper amount of water at the correct time, making strides effectiveness and moderating assets. The increase in water needs compared to the increase in population growth requires management of water sources and saving consumption. With progression in innovated technologies, we will set up a system that controlled the irrigation such that there\\\'s productive usage of water and make an ease of work for the farmers. By using internet of things and embedded technology, a cloud based smart irrigation system have been implemented in this work. In this system, the required amount of water is accurately supplied to the plants by obtaining the required information regarding moisture of soil, temperature levels and changes in lighting intensity, which is provided via sensors. These sensors are connected through peripheral devices deployed in the work field to collect information about the weather and soil condition and send this data to the nearest wireless server that will store it on the cloud. Field workers will be able to monitor changes in parameters through dashboards on a website integrated with cloud storage. IoT utilization enables the workers in the field to make an estimation of the required amount of water within the upcoming days. These technological means enable us to study, compare and analyze data for different times during the year and find different ways to reduce and conserve water consumption.
Keywords : Smart irrigation, Internet of Things (IoT), Sensors, Cloud computing, Water conservation