Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture
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 irrigat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
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| Series: | Computers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-431X/11/1/7 |
| _version_ | 1797494955480973312 |
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| author | Jabar H. Yousif Khaled Abdalgader |
| author_facet | Jabar H. Yousif Khaled Abdalgader |
| author_sort | Jabar H. Yousif |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T01:41:40Z |
| format | Article |
| id | doaj.art-b654a42ea0b140e8b606b8bd8926aada |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-10T01:41:40Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-b654a42ea0b140e8b606b8bd8926aada2023-11-23T13:23:28ZengMDPI AGComputers2073-431X2022-01-01111710.3390/computers11010007Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT ArchitectureJabar H. Yousif0Khaled Abdalgader1Faculty of Computing and Information Technology, Sohar University, Sohar 311, OmanFaculty of Computing and Information Technology, Sohar University, Sohar 311, OmanManufacturing 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.https://www.mdpi.com/2073-431X/11/1/7agricultural developmentwatering managementIoT architecturepredicting modelsirrigation performance |
| spellingShingle | Jabar H. Yousif Khaled Abdalgader Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture Computers agricultural development watering management IoT architecture predicting models irrigation performance |
| title | Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture |
| title_full | Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture |
| title_fullStr | Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture |
| title_full_unstemmed | Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture |
| title_short | Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture |
| title_sort | experimental and mathematical models for real time monitoring and auto watering using iot architecture |
| topic | agricultural development watering management IoT architecture predicting models irrigation performance |
| url | https://www.mdpi.com/2073-431X/11/1/7 |
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