Can artificial intelligence and space technology transform livestock insurance and rangeland management?
A new study shows that artificial intelligence (AI) could improve the accuracy of index-based livestock insurance (IBLI) satellite assessments in regions affected by invasive plant species. IBLI provides coverage for livestock keepers against drought, with payouts triggered when a specific region...
| Main Authors: | , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
International Livestock Research Institute
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/168973 |
| _version_ | 1855538035106512896 |
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| author | Onyango, Polycarp Otieno Paliwal, Ambica |
| author_browse | Onyango, Polycarp Otieno Paliwal, Ambica |
| author_facet | Onyango, Polycarp Otieno Paliwal, Ambica |
| author_sort | Onyango, Polycarp Otieno |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A new study shows that artificial intelligence (AI) could improve the accuracy of index-based livestock insurance (IBLI) satellite assessments in regions affected by invasive plant species.
IBLI provides coverage for livestock keepers against drought, with payouts triggered when a specific region reaches a predetermined drought threshold. This threshold is calculated based on vegetation and forage scarcity, which is monitored using satellite imagery.
Whereas traditional field surveys are effective for assessing forage conditions, they are often time-consuming and costly. As a result, there has been a significant shift towards using satellite remote sensing to monitor vegetation and forage conditions more efficiently.
However, invasive plants species which are resistant to drought and which outcompete local plants can make monitoring less clear. |
| format | Blog Post |
| id | CGSpace168973 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace1689732025-01-14T14:59:08Z Can artificial intelligence and space technology transform livestock insurance and rangeland management? Onyango, Polycarp Otieno Paliwal, Ambica climate change adaptation A new study shows that artificial intelligence (AI) could improve the accuracy of index-based livestock insurance (IBLI) satellite assessments in regions affected by invasive plant species. IBLI provides coverage for livestock keepers against drought, with payouts triggered when a specific region reaches a predetermined drought threshold. This threshold is calculated based on vegetation and forage scarcity, which is monitored using satellite imagery. Whereas traditional field surveys are effective for assessing forage conditions, they are often time-consuming and costly. As a result, there has been a significant shift towards using satellite remote sensing to monitor vegetation and forage conditions more efficiently. However, invasive plants species which are resistant to drought and which outcompete local plants can make monitoring less clear. 2024-11-24 2025-01-14T14:59:07Z 2025-01-14T14:59:07Z Blog Post https://hdl.handle.net/10568/168973 en Open Access International Livestock Research Institute Onyango, Polycarp., Paliwal Ambica. 2024. Can artificial intelligence and space technology transform livestock insurance and rangeland management? Blogpost. ILRI. 2024 |
| spellingShingle | climate change adaptation Onyango, Polycarp Otieno Paliwal, Ambica Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title | Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title_full | Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title_fullStr | Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title_full_unstemmed | Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title_short | Can artificial intelligence and space technology transform livestock insurance and rangeland management? |
| title_sort | can artificial intelligence and space technology transform livestock insurance and rangeland management |
| topic | climate change adaptation |
| url | https://hdl.handle.net/10568/168973 |
| work_keys_str_mv | AT onyangopolycarpotieno canartificialintelligenceandspacetechnologytransformlivestockinsuranceandrangelandmanagement AT paliwalambica canartificialintelligenceandspacetechnologytransformlivestockinsuranceandrangelandmanagement |