文章基本信息

标题：Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture
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作者：Jabar H. Yousif ; Khaled Abdalgader
期刊名称：Computers
电子版ISSN：2073-431X
出版年度：2022
卷号：11
期号：1
页码：7
DOI：10.3390/computers11010007
语种：English
出版社：MDPI Publishing
摘要：Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.