Affordable Broad Agile Farming System for Rural and Remote Area
We develop a fast-deployed crop health monitoring system using state-of-the-art technologies to collect data from crop fields in order to take appropriate and timely actions. For the proposed resource optimized system, Saudi Arabian agriculture is taken as a case study. To achieve the desire goals,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8815723/ |
| _version_ | 1818779370348609536 |
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| author | Mohammad Ammad Uddin Muhammad Ayaz El-Hadi M. Aggoune Ali Mansour Denis Le Jeune |
| author_facet | Mohammad Ammad Uddin Muhammad Ayaz El-Hadi M. Aggoune Ali Mansour Denis Le Jeune |
| author_sort | Mohammad Ammad Uddin |
| collection | DOAJ |
| description | We develop a fast-deployed crop health monitoring system using state-of-the-art technologies to collect data from crop fields in order to take appropriate and timely actions. For the proposed resource optimized system, Saudi Arabian agriculture is taken as a case study. To achieve the desire goals, we harness IoT (Internet of Things) and drones in agriculture to establish rapid system deployment. This paper focuses on the data collection from crop field by organizing heterogeneous IoT devices in clusters and localise them for data harvesting. Clusters are formed by considering the path of UAVs, sensors heterogeneity, weather conditions, fluctuation of sensor nodes, and the communication cost of IoT devices. For localisation, carrying larger or heavier arrays of antennas and receivers with a small size UAV is also a major issue considered in this paper. Hence, we introduce a dynamic clustering and virtual antenna array to develop a complete data collection scheme supported by simulations and experimental tests with proof-of-concept devices. The results are analysed and found promising in terms of energy efficiency, throughput, ease of use, and deployment time. Whole the system is developed with the concept that it can install in rural and remote area with minimum deployment time and agile enough that can collect data in worst conditions (bad weather, hostile environment, fluctuating nodes, poor infrastructure, with or without an established network). In broader sense it can map easily in many similar applications where data is needed to be harvested from a wide range of heterogeneous sensors without existing any infrastructure and ground topology. |
| first_indexed | 2024-12-18T11:59:32Z |
| format | Article |
| id | doaj.art-154585c30b59416cb6ec7c0e7671c3b7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T11:59:32Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-154585c30b59416cb6ec7c0e7671c3b72022-12-21T21:08:58ZengIEEEIEEE Access2169-35362019-01-01712709812711610.1109/ACCESS.2019.29378818815723Affordable Broad Agile Farming System for Rural and Remote AreaMohammad Ammad Uddin0https://orcid.org/0000-0001-6568-0789Muhammad Ayaz1https://orcid.org/0000-0002-7574-902XEl-Hadi M. Aggoune2Ali Mansour3Denis Le Jeune4Sensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk, Saudi ArabiaSensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk, Saudi ArabiaSensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk, Saudi ArabiaLab STICC, ENSTA Bretagne, Brest, FranceLab STICC, ENSTA Bretagne, Brest, FranceWe develop a fast-deployed crop health monitoring system using state-of-the-art technologies to collect data from crop fields in order to take appropriate and timely actions. For the proposed resource optimized system, Saudi Arabian agriculture is taken as a case study. To achieve the desire goals, we harness IoT (Internet of Things) and drones in agriculture to establish rapid system deployment. This paper focuses on the data collection from crop field by organizing heterogeneous IoT devices in clusters and localise them for data harvesting. Clusters are formed by considering the path of UAVs, sensors heterogeneity, weather conditions, fluctuation of sensor nodes, and the communication cost of IoT devices. For localisation, carrying larger or heavier arrays of antennas and receivers with a small size UAV is also a major issue considered in this paper. Hence, we introduce a dynamic clustering and virtual antenna array to develop a complete data collection scheme supported by simulations and experimental tests with proof-of-concept devices. The results are analysed and found promising in terms of energy efficiency, throughput, ease of use, and deployment time. Whole the system is developed with the concept that it can install in rural and remote area with minimum deployment time and agile enough that can collect data in worst conditions (bad weather, hostile environment, fluctuating nodes, poor infrastructure, with or without an established network). In broader sense it can map easily in many similar applications where data is needed to be harvested from a wide range of heterogeneous sensors without existing any infrastructure and ground topology.https://ieeexplore.ieee.org/document/8815723/Smart farmingInternet of Things (IoT)clusteringlocalizationvirtual array antennadynamic data collection |
| spellingShingle | Mohammad Ammad Uddin Muhammad Ayaz El-Hadi M. Aggoune Ali Mansour Denis Le Jeune Affordable Broad Agile Farming System for Rural and Remote Area IEEE Access Smart farming Internet of Things (IoT) clustering localization virtual array antenna dynamic data collection |
| title | Affordable Broad Agile Farming System for Rural and Remote Area |
| title_full | Affordable Broad Agile Farming System for Rural and Remote Area |
| title_fullStr | Affordable Broad Agile Farming System for Rural and Remote Area |
| title_full_unstemmed | Affordable Broad Agile Farming System for Rural and Remote Area |
| title_short | Affordable Broad Agile Farming System for Rural and Remote Area |
| title_sort | affordable broad agile farming system for rural and remote area |
| topic | Smart farming Internet of Things (IoT) clustering localization virtual array antenna dynamic data collection |
| url | https://ieeexplore.ieee.org/document/8815723/ |
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