Smart farming for improving agricultural management
The food shortage and the population growth are the most challenges facing sustainable development worldwide. Advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and the mobile internet can provide realistic solutions to the challenges that are facing the world....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982321000582 |
| _version_ | 1818967323430617088 |
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| author | Elsayed Said Mohamed AA. Belal Sameh Kotb Abd-Elmabod Mohammed A El-Shirbeny A. Gad Mohamed B Zahran |
| author_facet | Elsayed Said Mohamed AA. Belal Sameh Kotb Abd-Elmabod Mohammed A El-Shirbeny A. Gad Mohamed B Zahran |
| author_sort | Elsayed Said Mohamed |
| collection | DOAJ |
| description | The food shortage and the population growth are the most challenges facing sustainable development worldwide. Advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and the mobile internet can provide realistic solutions to the challenges that are facing the world. Therefore, this work focuses on the new approaches regarding smart farming (SF) from 2019 to 2021, where the work illustrates the data gathering, transmission, storage, analysis, and also, suitable solutions. IoT is one of the essential pillars in smart systems, as it connects sensor devices to perform various basic tasks. The smart irrigation system included those sensors for monitoring water level, irrigation efficiency, climate, etc. Smart irrigation is based on smart controllers and sensors as well as some mathematical relations. In addition, this work illustrated the application of unmanned aerial vehicles (UAV) and robots, where they can be achieved several functions such as harvesting, seedling, weed detection, irrigation, spraying of agricultural pests, livestock applications, etc. real-time using IoT, artificial intelligence (AI), deep learning (DL), machine learning (ML) and wireless communications. Moreover, this work demonstrates the importance of using a 5G mobile network in developing smart systems, as it leads to high-speed data transfer, up to 20 Gbps, and can link a large number of devices per square kilometer. Although the applications of smart farming in developing countries are facing several challenges, this work highlighted some approaches the smart farming. In addition, the implementation of Smart Decision Support Systems (SDSS) in developing countries supports the real-time analysis, mapping of soil characteristics and also helps to make proper decision management. Finally, smart agriculture in developing countries needs more support from governments at the small farms and the private sector. |
| first_indexed | 2024-12-20T13:46:58Z |
| format | Article |
| id | doaj.art-7880cc3c3aa941b3b32a521d2c750a33 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-12-20T13:46:58Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-7880cc3c3aa941b3b32a521d2c750a332022-12-21T19:38:37ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232021-12-01243971981Smart farming for improving agricultural managementElsayed Said Mohamed0AA. Belal1Sameh Kotb Abd-Elmabod2Mohammed A El-Shirbeny3A. Gad4Mohamed B Zahran5National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11843, Egypt; Corresponding author.National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11843, EgyptSoils & Water Use Department, Agricultural and Biological Research Division, National Research Centre, Cairo 12622, EgyptNational Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11843, EgyptNational Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11843, EgyptNational Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11843, EgyptThe food shortage and the population growth are the most challenges facing sustainable development worldwide. Advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and the mobile internet can provide realistic solutions to the challenges that are facing the world. Therefore, this work focuses on the new approaches regarding smart farming (SF) from 2019 to 2021, where the work illustrates the data gathering, transmission, storage, analysis, and also, suitable solutions. IoT is one of the essential pillars in smart systems, as it connects sensor devices to perform various basic tasks. The smart irrigation system included those sensors for monitoring water level, irrigation efficiency, climate, etc. Smart irrigation is based on smart controllers and sensors as well as some mathematical relations. In addition, this work illustrated the application of unmanned aerial vehicles (UAV) and robots, where they can be achieved several functions such as harvesting, seedling, weed detection, irrigation, spraying of agricultural pests, livestock applications, etc. real-time using IoT, artificial intelligence (AI), deep learning (DL), machine learning (ML) and wireless communications. Moreover, this work demonstrates the importance of using a 5G mobile network in developing smart systems, as it leads to high-speed data transfer, up to 20 Gbps, and can link a large number of devices per square kilometer. Although the applications of smart farming in developing countries are facing several challenges, this work highlighted some approaches the smart farming. In addition, the implementation of Smart Decision Support Systems (SDSS) in developing countries supports the real-time analysis, mapping of soil characteristics and also helps to make proper decision management. Finally, smart agriculture in developing countries needs more support from governments at the small farms and the private sector.http://www.sciencedirect.com/science/article/pii/S1110982321000582IoTSmart Agriculture5GDecision support systemsSmart sensing |
| spellingShingle | Elsayed Said Mohamed AA. Belal Sameh Kotb Abd-Elmabod Mohammed A El-Shirbeny A. Gad Mohamed B Zahran Smart farming for improving agricultural management Egyptian Journal of Remote Sensing and Space Sciences IoT Smart Agriculture 5G Decision support systems Smart sensing |
| title | Smart farming for improving agricultural management |
| title_full | Smart farming for improving agricultural management |
| title_fullStr | Smart farming for improving agricultural management |
| title_full_unstemmed | Smart farming for improving agricultural management |
| title_short | Smart farming for improving agricultural management |
| title_sort | smart farming for improving agricultural management |
| topic | IoT Smart Agriculture 5G Decision support systems Smart sensing |
| url | http://www.sciencedirect.com/science/article/pii/S1110982321000582 |
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