Intelligent and Smart Irrigation System Using Edge Computing and IoT
Smart parsimonious and economical ways of irrigation have build up to fulfill the sweet water requirements for the habitants of this world. In other words, water consumption should be frugal enough to save restricted sweet water resources. The major portion of water was wasted due to incompetent way...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6691571 |
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| author | M. Safdar Munir Imran Sarwar Bajwa Amna Ashraf Waheed Anwar Rubina Rashid |
| author_facet | M. Safdar Munir Imran Sarwar Bajwa Amna Ashraf Waheed Anwar Rubina Rashid |
| author_sort | M. Safdar Munir |
| collection | DOAJ |
| description | Smart parsimonious and economical ways of irrigation have build up to fulfill the sweet water requirements for the habitants of this world. In other words, water consumption should be frugal enough to save restricted sweet water resources. The major portion of water was wasted due to incompetent ways of irrigation. We utilized a smart approach professionally capable of using ontology to make 50% of the decision, and the other 50% of the decision relies on the sensor data values. The decision from the ontology and the sensor values collectively become the source of the final decision which is the result of a machine learning algorithm (KNN). Moreover, an edge server is introduced between the main IoT server and the GSM module. This method will not only avoid the overburden of the IoT server for data processing but also reduce the latency rate. This approach connects Internet of Things with a network of sensors to resourcefully trace all the data, analyze the data at the edge server, transfer only some particular data to the main IoT server to predict the watering requirements for a field of crops, and display the result by using an android application edge. |
| format | Article |
| id | doaj-art-5bf543d934f848518a8f804821e9770d |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5bf543d934f848518a8f804821e9770d2025-02-03T06:08:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66915716691571Intelligent and Smart Irrigation System Using Edge Computing and IoTM. Safdar Munir0Imran Sarwar Bajwa1Amna Ashraf2Waheed Anwar3Rubina Rashid4Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, PakistanSmart parsimonious and economical ways of irrigation have build up to fulfill the sweet water requirements for the habitants of this world. In other words, water consumption should be frugal enough to save restricted sweet water resources. The major portion of water was wasted due to incompetent ways of irrigation. We utilized a smart approach professionally capable of using ontology to make 50% of the decision, and the other 50% of the decision relies on the sensor data values. The decision from the ontology and the sensor values collectively become the source of the final decision which is the result of a machine learning algorithm (KNN). Moreover, an edge server is introduced between the main IoT server and the GSM module. This method will not only avoid the overburden of the IoT server for data processing but also reduce the latency rate. This approach connects Internet of Things with a network of sensors to resourcefully trace all the data, analyze the data at the edge server, transfer only some particular data to the main IoT server to predict the watering requirements for a field of crops, and display the result by using an android application edge.http://dx.doi.org/10.1155/2021/6691571 |
| spellingShingle | M. Safdar Munir Imran Sarwar Bajwa Amna Ashraf Waheed Anwar Rubina Rashid Intelligent and Smart Irrigation System Using Edge Computing and IoT Complexity |
| title | Intelligent and Smart Irrigation System Using Edge Computing and IoT |
| title_full | Intelligent and Smart Irrigation System Using Edge Computing and IoT |
| title_fullStr | Intelligent and Smart Irrigation System Using Edge Computing and IoT |
| title_full_unstemmed | Intelligent and Smart Irrigation System Using Edge Computing and IoT |
| title_short | Intelligent and Smart Irrigation System Using Edge Computing and IoT |
| title_sort | intelligent and smart irrigation system using edge computing and iot |
| url | http://dx.doi.org/10.1155/2021/6691571 |
| work_keys_str_mv | AT msafdarmunir intelligentandsmartirrigationsystemusingedgecomputingandiot AT imransarwarbajwa intelligentandsmartirrigationsystemusingedgecomputingandiot AT amnaashraf intelligentandsmartirrigationsystemusingedgecomputingandiot AT waheedanwar intelligentandsmartirrigationsystemusingedgecomputingandiot AT rubinarashid intelligentandsmartirrigationsystemusingedgecomputingandiot |