Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields
Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and co...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2021/6242288 |
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| _version_ | 1832556251434713088 |
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| author | Karim Ennouri Slim Smaoui Yaakoub Gharbi Manel Cheffi Olfa Ben Braiek Monia Ennouri Mohamed Ali Triki |
| author_facet | Karim Ennouri Slim Smaoui Yaakoub Gharbi Manel Cheffi Olfa Ben Braiek Monia Ennouri Mohamed Ali Triki |
| author_sort | Karim Ennouri |
| collection | DOAJ |
| description | Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators. |
| format | Article |
| id | doaj-art-831f835dc0964e489682191300402892 |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-831f835dc0964e4896821913004028922025-02-03T05:45:57ZengWileyJournal of Food Quality0146-94281745-45572021-01-01202110.1155/2021/62422886242288Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System YieldsKarim Ennouri0Slim Smaoui1Yaakoub Gharbi2Manel Cheffi3Olfa Ben Braiek4Monia Ennouri5Mohamed Ali Triki6Laboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, TunisiaLaboratory of Microbial,Enzymatic Biotechnology and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax, Sfax, TunisiaLaboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, TunisiaLaboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, TunisiaLaboratory of Transmissible Diseases and Biologically Active Substances (LR99ES27), Faculty of Pharmacy, University of Monastir, Monastir, TunisiaLaboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, TunisiaLaboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, TunisiaArtificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators.http://dx.doi.org/10.1155/2021/6242288 |
| spellingShingle | Karim Ennouri Slim Smaoui Yaakoub Gharbi Manel Cheffi Olfa Ben Braiek Monia Ennouri Mohamed Ali Triki Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields Journal of Food Quality |
| title | Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields |
| title_full | Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields |
| title_fullStr | Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields |
| title_full_unstemmed | Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields |
| title_short | Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields |
| title_sort | usage of artificial intelligence and remote sensing as efficient devices to increase agricultural system yields |
| url | http://dx.doi.org/10.1155/2021/6242288 |
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