Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana
This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). During this period, there have been several government policy intervention schemes and pragmatic support actions from de...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/148839 |
| _version_ | 1855520812015026176 |
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| author | Moomen, Abdul-Wadood Yevugah, Lily Lisa Boakye, Louvis Osei, Jeff Dacosta Muthoni, Francis K. |
| author_browse | Boakye, Louvis Moomen, Abdul-Wadood Muthoni, Francis K. Osei, Jeff Dacosta Yevugah, Lily Lisa |
| author_facet | Moomen, Abdul-Wadood Yevugah, Lily Lisa Boakye, Louvis Osei, Jeff Dacosta Muthoni, Francis K. |
| author_sort | Moomen, Abdul-Wadood |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). During this period, there have been several government policy intervention schemes and pragmatic support actions from development agencies towards improving agriculture in this area with differing level of success. Over the same period, there have been dramatic advances in remote sensing (RS) technologies with tailored applications to sustainable agriculture globally. However, the extent to which intervention schemes have harnessed the incipient potential of RS for achieving sustainable agriculture in the study area is unknown. To the best of our knowledge, no previous study has investigated the synergy between agriculture policy interventions and applications of RS towards optimizing results. Thus, this study used systematic literature review and desk analysis to identify previous and current projects and studies that have applied RS tools and techniques to all aspects of agriculture in the study area. Databases searched include Web of Science, Google Scholar, Scopus, AoJ, and PubMed. To consolidate the gaps identified in the literature, ground-truthing was carried out. From the 26 focused publications found on the subject, only 13 (54%) were found employing RS in various aspects of agriculture observations in the study area. Out of the 13, 5 studies focused on mapping the extents of irrigation areas; 2 mapped the size of crop and pasturelands; 1 focused on soil water and nutrient retention; 1 study focused on crop health monitoring; and another focused
on weeds/pest infestations and yield estimation in the study area. On the type of data, only 1 (7%) study used MODIS, 2 (15%) used ASTER image, 1 used Sentinel-2 data, 1 used Planetscope, 1 used IKONOS, 5 used Landsat images, 1 used Unmanned Aerial Vehicles (UAVs) and another 1 used RADAR for mapping and monitoring agriculture activities in the study area. There is no evidence of the use of LiDAR data in the area. These results validate the hypothesis that failing agriculture in the study area is due to a paucity of high-quality spatial data and monitoring to support informed farm decision-making. |
| format | Journal Article |
| id | CGSpace148839 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1488392025-12-08T10:29:22Z Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana Moomen, Abdul-Wadood Yevugah, Lily Lisa Boakye, Louvis Osei, Jeff Dacosta Muthoni, Francis K. Remote sensing satellite imagery precision agriculture sustainable farming Earth Observing System unmanned aerial vehicles agriculture This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). During this period, there have been several government policy intervention schemes and pragmatic support actions from development agencies towards improving agriculture in this area with differing level of success. Over the same period, there have been dramatic advances in remote sensing (RS) technologies with tailored applications to sustainable agriculture globally. However, the extent to which intervention schemes have harnessed the incipient potential of RS for achieving sustainable agriculture in the study area is unknown. To the best of our knowledge, no previous study has investigated the synergy between agriculture policy interventions and applications of RS towards optimizing results. Thus, this study used systematic literature review and desk analysis to identify previous and current projects and studies that have applied RS tools and techniques to all aspects of agriculture in the study area. Databases searched include Web of Science, Google Scholar, Scopus, AoJ, and PubMed. To consolidate the gaps identified in the literature, ground-truthing was carried out. From the 26 focused publications found on the subject, only 13 (54%) were found employing RS in various aspects of agriculture observations in the study area. Out of the 13, 5 studies focused on mapping the extents of irrigation areas; 2 mapped the size of crop and pasturelands; 1 focused on soil water and nutrient retention; 1 study focused on crop health monitoring; and another focused on weeds/pest infestations and yield estimation in the study area. On the type of data, only 1 (7%) study used MODIS, 2 (15%) used ASTER image, 1 used Sentinel-2 data, 1 used Planetscope, 1 used IKONOS, 5 used Landsat images, 1 used Unmanned Aerial Vehicles (UAVs) and another 1 used RADAR for mapping and monitoring agriculture activities in the study area. There is no evidence of the use of LiDAR data in the area. These results validate the hypothesis that failing agriculture in the study area is due to a paucity of high-quality spatial data and monitoring to support informed farm decision-making. 2024-04-30 2024-07-02T11:46:59Z 2024-07-02T11:46:59Z Journal Article https://hdl.handle.net/10568/148839 en Open Access MDPI Moomen, A.-W., Yevugah, L.L., Boakye, L., Osei, J.D. and Muthoni, F. 2024. Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana. Agriculture 14(4):546. |
| spellingShingle | Remote sensing satellite imagery precision agriculture sustainable farming Earth Observing System unmanned aerial vehicles agriculture Moomen, Abdul-Wadood Yevugah, Lily Lisa Boakye, Louvis Osei, Jeff Dacosta Muthoni, Francis K. Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title | Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title_full | Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title_fullStr | Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title_full_unstemmed | Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title_short | Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana |
| title_sort | review of applications of remote sensing towards sustainable agriculture in the northern savannah regions of ghana |
| topic | Remote sensing satellite imagery precision agriculture sustainable farming Earth Observing System unmanned aerial vehicles agriculture |
| url | https://hdl.handle.net/10568/148839 |
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