Climate information systems (CIS) for aquaculture
The AICCRA project developed an air-water temperature relationship algorithm used to forecast pond water temperatures for integration with the data hub of the Intelligent Agricultural Systems Advisory Tool (iSAT) and an early temperature warning decision tree matrix. The project team will develop th...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/159626 |
| _version_ | 1855526447863562240 |
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| author | Stander, Henk Greengrass, Catherine Oladejo, Sunday Watson, Bruce Nel, Aldi Salie, Khalid Noris, Netsayi Kakwasha, Keagan Lundeba, Mary Peerzadi, Rumana Siamudaala, Victor |
| author_browse | Greengrass, Catherine Kakwasha, Keagan Lundeba, Mary Nel, Aldi Noris, Netsayi Oladejo, Sunday Peerzadi, Rumana Salie, Khalid Siamudaala, Victor Stander, Henk Watson, Bruce |
| author_facet | Stander, Henk Greengrass, Catherine Oladejo, Sunday Watson, Bruce Nel, Aldi Salie, Khalid Noris, Netsayi Kakwasha, Keagan Lundeba, Mary Peerzadi, Rumana Siamudaala, Victor |
| author_sort | Stander, Henk |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The AICCRA project developed an air-water temperature relationship algorithm used to forecast pond water temperatures for integration with the data hub of the Intelligent Agricultural Systems Advisory Tool (iSAT) and an early temperature warning decision tree matrix. The project team will develop the matrix into a dashboard based on input data and water quality parameter thresholds for critical scenarios for tilapia and catfish (Clarius Gariepinus). When predicted temperatures approach their thresholds, this activates a color-coded alarm corresponding with a specific action protocol to regulate pond temperatures. The purpose is to mitigate the impact of high-risk (24°C for minimum and 32°C for maximum) and emergency (12°C for minimum and 40°C for maximum) temperature scenarios on cultured stock. |
| format | Artículo preliminar |
| id | CGSpace159626 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1596262025-11-11T17:10:01Z Climate information systems (CIS) for aquaculture Development of a temperature-based, early warning alert system for fish farmers in Zambia Stander, Henk Greengrass, Catherine Oladejo, Sunday Watson, Bruce Nel, Aldi Salie, Khalid Noris, Netsayi Kakwasha, Keagan Lundeba, Mary Peerzadi, Rumana Siamudaala, Victor aquaculture early warning systems climate resilience sustainable agriculture The AICCRA project developed an air-water temperature relationship algorithm used to forecast pond water temperatures for integration with the data hub of the Intelligent Agricultural Systems Advisory Tool (iSAT) and an early temperature warning decision tree matrix. The project team will develop the matrix into a dashboard based on input data and water quality parameter thresholds for critical scenarios for tilapia and catfish (Clarius Gariepinus). When predicted temperatures approach their thresholds, this activates a color-coded alarm corresponding with a specific action protocol to regulate pond temperatures. The purpose is to mitigate the impact of high-risk (24°C for minimum and 32°C for maximum) and emergency (12°C for minimum and 40°C for maximum) temperature scenarios on cultured stock. 2024-10 2024-11-12T20:44:26Z 2024-11-12T20:44:26Z Working Paper https://hdl.handle.net/10568/159626 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Stander, H., Greengrass, C., Oladejo, S., Watson, B., Nel, A., Salie, K., Mudege, N., Kakwasha, K., Lundeba, M., Hossain, R. P., Siamudaala, V. 2024. Climate information systems (CIS) for aquaculture. Development of a temperature-based, early warning alert system for fish farmers in Zambia. AICCRA Working Paper. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | aquaculture early warning systems climate resilience sustainable agriculture Stander, Henk Greengrass, Catherine Oladejo, Sunday Watson, Bruce Nel, Aldi Salie, Khalid Noris, Netsayi Kakwasha, Keagan Lundeba, Mary Peerzadi, Rumana Siamudaala, Victor Climate information systems (CIS) for aquaculture |
| title | Climate information systems (CIS) for aquaculture |
| title_full | Climate information systems (CIS) for aquaculture |
| title_fullStr | Climate information systems (CIS) for aquaculture |
| title_full_unstemmed | Climate information systems (CIS) for aquaculture |
| title_short | Climate information systems (CIS) for aquaculture |
| title_sort | climate information systems cis for aquaculture |
| topic | aquaculture early warning systems climate resilience sustainable agriculture |
| url | https://hdl.handle.net/10568/159626 |
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