Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture
Today’s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision agriculture. This study presents a system based...
| Váldodahkkit: | , , |
|---|---|
| Materiálatiipa: | Artihkal |
| Giella: | English |
| Almmustuhtton: |
MDPI AG
2021-09-01
|
| Ráidu: | Journal of Low Power Electronics and Applications |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/2079-9268/11/4/39 |
| _version_ | 1827671768386502656 |
|---|---|
| author | Amine Saddik Rachid Latif Abdelhafid El Ouardi |
| author_facet | Amine Saddik Rachid Latif Abdelhafid El Ouardi |
| author_sort | Amine Saddik |
| collection | DOAJ |
| description | Today’s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision agriculture. This study presents a system based on a monitoring algorithm for agricultural fields, an electronic architecture based on a CPU-FPGA SoC system and the OpenCL parallel programming paradigm. We focused our study on our own dataset of agricultural fields to validate the results. The fields studied in our case are in the Guelmin-Oued noun region in the south of Morocco. These fields are divided into two areas, with a total surface of 3.44 Ha2 for the first field and 3.73 Ha2 for the second. The images were collected using a DJI-type unmanned aerial vehicle and an RGB camera. Performance evaluation showed that the system could process up to 86 fps versus 12 fps or 20 fps in C/C++ and OpenMP implementations, respectively. Software optimizations have increased the performance to 107 fps, which meets real-time constraints. |
| first_indexed | 2024-03-10T03:48:26Z |
| format | Article |
| id | doaj.art-0899e624b446464faf536836662c9b85 |
| institution | Directory Open Access Journal |
| issn | 2079-9268 |
| language | English |
| last_indexed | 2024-03-10T03:48:26Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Low Power Electronics and Applications |
| spelling | doaj.art-0899e624b446464faf536836662c9b852023-11-23T09:01:11ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682021-09-011143910.3390/jlpea11040039Low-Power FPGA Architecture Based Monitoring Applications in Precision AgricultureAmine Saddik0Rachid Latif1Abdelhafid El Ouardi2Laboratory of Systems Engineering and Information Technology LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir 80000, MoroccoLaboratory of Systems Engineering and Information Technology LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir 80000, MoroccoSATIE, ENS, Paris-Saclay University, 91190 Gif-sur-Yvette, FranceToday’s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision agriculture. This study presents a system based on a monitoring algorithm for agricultural fields, an electronic architecture based on a CPU-FPGA SoC system and the OpenCL parallel programming paradigm. We focused our study on our own dataset of agricultural fields to validate the results. The fields studied in our case are in the Guelmin-Oued noun region in the south of Morocco. These fields are divided into two areas, with a total surface of 3.44 Ha2 for the first field and 3.73 Ha2 for the second. The images were collected using a DJI-type unmanned aerial vehicle and an RGB camera. Performance evaluation showed that the system could process up to 86 fps versus 12 fps or 20 fps in C/C++ and OpenMP implementations, respectively. Software optimizations have increased the performance to 107 fps, which meets real-time constraints.https://www.mdpi.com/2079-9268/11/4/39CPU-FPGA SoCon-chip systemsembedded systemsprecision agriculture |
| spellingShingle | Amine Saddik Rachid Latif Abdelhafid El Ouardi Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture Journal of Low Power Electronics and Applications CPU-FPGA SoC on-chip systems embedded systems precision agriculture |
| title | Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture |
| title_full | Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture |
| title_fullStr | Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture |
| title_full_unstemmed | Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture |
| title_short | Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture |
| title_sort | low power fpga architecture based monitoring applications in precision agriculture |
| topic | CPU-FPGA SoC on-chip systems embedded systems precision agriculture |
| url | https://www.mdpi.com/2079-9268/11/4/39 |
| work_keys_str_mv | AT aminesaddik lowpowerfpgaarchitecturebasedmonitoringapplicationsinprecisionagriculture AT rachidlatif lowpowerfpgaarchitecturebasedmonitoringapplicationsinprecisionagriculture AT abdelhafidelouardi lowpowerfpgaarchitecturebasedmonitoringapplicationsinprecisionagriculture |