Resultados de búsqueda - Arte. Performance.

  1. Scaling readiness: Accelerating the scaling of RTB interventions por Sartas, Murat, Schut, Marc, Stoian, D., Velasco, C., Campilan, D., Thiele, Graham, Leeuwis, Cees

    Publicado 2017
    “…Provide strategies to accelerate the scaling of RTB technologies and other innovations; 3. Measure the performance of RTB projects in terms of enhancing their scaling readiness; 4. …”
    Enlace del recurso
  2. Towards sustainable productivity enhancement of rice-based farming systems in sub-Saharan Africa por Rodenburg, J., Saito, Kazuki

    Publicado 2022
    “…To operationalize this, sustainability performance indicators need to be developed and used. 5. …”
    Enlace del recurso
    Journal Article
  3. Engaging private sector in Climate Information Services (CIS) in Africa por Engdaw, Mastawesha Misganaw, Gamoyo, Majambo, Vyas, Shalika, Steward, Peter, Degefie, Degefie Tibebe, Ahmed, Jemal Seid, Wanjau, Agnes Njambi, Ghosh, Aniruddha

    Publicado 2025
    “…These have multiple benefits: (1) countries spend their limited resources partly towards improving the performance of climate information, in addition to accessibility (2) consciously considering uncertainty of climate information products will keep them vigilant in their risk communication, intervention planning and implementation (3) elevate the role and responsibility of NHMSs towards ensuring the scientific rigor, reliability and robustness of state-of-the-art African led climate information and (4) benefit from several private sector actors to deliver diversified Climate information to meet the unmet needs. …”
    Enlace del recurso
    Brief
  4. Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images por Atanbori, John, Montoya Pizarro, Maria Elker, Selvaraj, Michael Gomez, French, Andrew P., Pridmore, Tony P.

    Publicado 2019
    “…While Convolutional Neural Nets have shown performance above the state-of-the-art in many image processing and analysis tasks, there are currently a limited number of Convolutional Neural Net-based methods for counting plant features. …”
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    Journal Article
  5. Africa-Wide Training on the Improved NextGen Approach (PyCPT2.5) for Seasonal and Subseasonal Forecasting and Climate Data Analysis and Visualization Tools por Grossi, Amanda, Robertson, Andrew, Rose, Alison, Singh, Bohar, Trzaska, Sylwia, Ehsan, Azhar, Kaplan, Aaron, Dinku, Tufa

    Publicado 2023
    “…The “NextGen” forecasting system, which is based on more than 25 years of research at the IRI, helps countries to quickly produce high-resolution, location-specific forecasts that can be easily communicated to agricultural decision makers and planners. Its state-of-the-art approach, which has already been adopted by more than a dozen countries in Central and Southern America and incorporated into the operational product suites of ICPAC (Hansen et al., 2022) and AGRHYMET (Segnon et al., 2022), helps forecasters assess past model performance, which can inform how best to correct and combine different global climate models. …”
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    Informe técnico

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