Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools
The negative impact of hydro-meteorological hazards on the agricultural sector often leads to food insecurity. It is, therefore, incumbent upon policymakers to formulate appropriate strategies aimed at minimizing the effects of hydro-meteorological hazards on communities and economies. Hence, there...
| Autores principales: | , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
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Accelerating Impacts of CGIAR Climate Research for Africa
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125768 |
| _version_ | 1855531645009920000 |
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| author | Amha, Yosef Garanganga, Bradwell Nyakutambwa, Trymore Kondo, Farai Demissie, Teferi Dejene Solomon, Dawit |
| author_browse | Amha, Yosef Demissie, Teferi Dejene Garanganga, Bradwell Kondo, Farai Nyakutambwa, Trymore Solomon, Dawit |
| author_facet | Amha, Yosef Garanganga, Bradwell Nyakutambwa, Trymore Kondo, Farai Demissie, Teferi Dejene Solomon, Dawit |
| author_sort | Amha, Yosef |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The negative impact of hydro-meteorological hazards on the agricultural sector often leads to food insecurity. It is, therefore, incumbent upon policymakers to formulate appropriate strategies aimed at minimizing the effects of hydro-meteorological hazards on communities and economies. Hence, there is a need for timely and tailored climaterelated knowledge, information and products that support decision-making to reduce climate-related losses and enhance benefits. A series of studies have been commissioned by the ACPC-UNECA and its regional partners, such as CCAFS, under the WISER program to demonstrate the SEB of CIS in the agricultural sector. One such effort was conducting a study on Enhancing Forecasting Capacities and Developing Crop Capability Prediction Models in Malawi, Mozambique and Zimbabwe, where CIS-based DST has been developed. This DST is a critical tool to guide policymakers and communities in making science-informed decisions for optimum productivity through improved efficiencies in agricultural production systems and contributing to minimizing impacts of hydro-meteorological hazards. To operationalize this tool, however, there is a need to conduct a concerted capacity development across the SADC sub-region and beyond. |
| format | Informe técnico |
| id | CGSpace125768 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1257682025-11-11T17:03:25Z Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools Amha, Yosef Garanganga, Bradwell Nyakutambwa, Trymore Kondo, Farai Demissie, Teferi Dejene Solomon, Dawit agriculture climate-smart agriculture forecasting The negative impact of hydro-meteorological hazards on the agricultural sector often leads to food insecurity. It is, therefore, incumbent upon policymakers to formulate appropriate strategies aimed at minimizing the effects of hydro-meteorological hazards on communities and economies. Hence, there is a need for timely and tailored climaterelated knowledge, information and products that support decision-making to reduce climate-related losses and enhance benefits. A series of studies have been commissioned by the ACPC-UNECA and its regional partners, such as CCAFS, under the WISER program to demonstrate the SEB of CIS in the agricultural sector. One such effort was conducting a study on Enhancing Forecasting Capacities and Developing Crop Capability Prediction Models in Malawi, Mozambique and Zimbabwe, where CIS-based DST has been developed. This DST is a critical tool to guide policymakers and communities in making science-informed decisions for optimum productivity through improved efficiencies in agricultural production systems and contributing to minimizing impacts of hydro-meteorological hazards. To operationalize this tool, however, there is a need to conduct a concerted capacity development across the SADC sub-region and beyond. 2022-07 2022-12-03T10:06:00Z 2022-12-03T10:06:00Z Report https://hdl.handle.net/10568/125768 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Amha Y, Garanganga BJ, Nyakutambwa T, Kondo F, Demissie T, Solomon D, 2022. Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools. AICCRA Workshop Report.. Accelerating Impacts of CGIAR Climate Research in Africa (AICCRA). |
| spellingShingle | agriculture climate-smart agriculture forecasting Amha, Yosef Garanganga, Bradwell Nyakutambwa, Trymore Kondo, Farai Demissie, Teferi Dejene Solomon, Dawit Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title | Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title_full | Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title_fullStr | Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title_full_unstemmed | Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title_short | Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools |
| title_sort | training of trainers on enhancing forecasting capacities and crop capability prediction model and tools |
| topic | agriculture climate-smart agriculture forecasting |
| url | https://hdl.handle.net/10568/125768 |
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