Remote Farm Monitoring and Irrigation System
The research deals with the intelligent irrigation system using the Internet of Things (IoT) via Low cost and low power system on chip microcontrollers including integrated Wi-Fi with dual-mode Bluetooth ESP32. The objectives of this project are to investigate the concept of an intelligent irrigatio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Mosul University
2021-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.uomosul.edu.iq/article_170016_7e65dd50fad6a2eb386930361d638cdb.pdf |
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| _version_ | 1849736474119897088 |
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| author | Zena Faysal Ghassan Mohammed |
| author_facet | Zena Faysal Ghassan Mohammed |
| author_sort | Zena Faysal |
| collection | DOAJ |
| description | The research deals with the intelligent irrigation system using the Internet of Things (IoT) via Low cost and low power system on chip microcontrollers including integrated Wi-Fi with dual-mode Bluetooth ESP32. The objectives of this project are to investigate the concept of an intelligent irrigation system using the Internet of Things, to develop a system using the aforementioned controller that processes data from the soil sensor that automatically irrigates the plant and analyzes the soil status of the plants. In real-time via the smartphone connected to the Internet. The study scope focuses on cropping and horticulture. Sensors had to be installed for each plant as it was necessary to know the condition of the soil. A water pump must also be added to each plant to save water. This project requires the Blynk application which is a platform with IOS and Android apps to control Arduino, Raspberry Pi and the likes over the Internet. It’s a digital dashboard where you can build a graphic interface for your project by simply dragging and dropping widgets. Software on smartphone and hardware implementation which can detect environment condition using (DHT22: Temperature and Humidity sensor) sensor and soil moisture sensor. The results of this paper are based on the experiments performed. |
| format | Article |
| id | doaj-art-8934320ab3204569950480bc0fbb98b4 |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-8934320ab3204569950480bc0fbb98b42025-08-20T03:07:16ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902021-12-0115212313810.33899/csmj.2021.170016170016Remote Farm Monitoring and Irrigation SystemZena Faysal0Ghassan Mohammed1Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, IRAQDepartment of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, IRAQThe research deals with the intelligent irrigation system using the Internet of Things (IoT) via Low cost and low power system on chip microcontrollers including integrated Wi-Fi with dual-mode Bluetooth ESP32. The objectives of this project are to investigate the concept of an intelligent irrigation system using the Internet of Things, to develop a system using the aforementioned controller that processes data from the soil sensor that automatically irrigates the plant and analyzes the soil status of the plants. In real-time via the smartphone connected to the Internet. The study scope focuses on cropping and horticulture. Sensors had to be installed for each plant as it was necessary to know the condition of the soil. A water pump must also be added to each plant to save water. This project requires the Blynk application which is a platform with IOS and Android apps to control Arduino, Raspberry Pi and the likes over the Internet. It’s a digital dashboard where you can build a graphic interface for your project by simply dragging and dropping widgets. Software on smartphone and hardware implementation which can detect environment condition using (DHT22: Temperature and Humidity sensor) sensor and soil moisture sensor. The results of this paper are based on the experiments performed.https://csmj.uomosul.edu.iq/article_170016_7e65dd50fad6a2eb386930361d638cdb.pdfiotsmartphonesensorblynk app |
| spellingShingle | Zena Faysal Ghassan Mohammed Remote Farm Monitoring and Irrigation System Al-Rafidain Journal of Computer Sciences and Mathematics iot smartphone sensor blynk app |
| title | Remote Farm Monitoring and Irrigation System |
| title_full | Remote Farm Monitoring and Irrigation System |
| title_fullStr | Remote Farm Monitoring and Irrigation System |
| title_full_unstemmed | Remote Farm Monitoring and Irrigation System |
| title_short | Remote Farm Monitoring and Irrigation System |
| title_sort | remote farm monitoring and irrigation system |
| topic | iot smartphone sensor blynk app |
| url | https://csmj.uomosul.edu.iq/article_170016_7e65dd50fad6a2eb386930361d638cdb.pdf |
| work_keys_str_mv | AT zenafaysal remotefarmmonitoringandirrigationsystem AT ghassanmohammed remotefarmmonitoringandirrigationsystem |