Resultados de búsqueda - iTunes

  1. Application of a Bayesian approach to quantify the impact of nitrogen fertilizer on upland rice yield in sub-Saharan Africa por Asai, H., Saito, Kazuki, Kawamura, K.

    Publicado 2021
    “…High clay soils exhibited higher YG than low clay soils did (i.e., 0.87 vs. 0.37 t ha−1, respectively). The relationships of YG with the N fertilizer application rate and precipitation were modeled for each soil type using a Bayesian approach. …”
    Enlace del recurso
    Journal Article
  2. Satellite-surface-area machine-learning models for reservoir storage estimation: regime-sensitive evaluation and operational deployment at Loskop Dam, South Africa por Retief, H., Vigneswaran, Kayathri, Ghosh, Surajit, Garcia Andarcia, Mariangel, Dickens, Chris

    Publicado 2025
    “…Four nested feature sets were examined: (i) raw water area, (ii) + a power law “calculated volume” proxy, (iii) + six river geometry metrics, and (iv) + fullsupply elevation. …”
    Enlace del recurso
    Preprint
  3. Heart rate response towards fear-eliciting stimuli in horses por Hedman, Jenny

    Publicado 2003
    “…We wanted to see whether certain horses (i.e. more emotional horses) react more to novel stimuli, in general, than other horses (i.e. less emotional), irrespective of the type of stimulus. …”
    L3
  4. IITA, the lead research partner facilitating agricultural solutions to overcome hunger and poverty in subSaharan Africa: the critical role of appropriate soil fertility and land us... por Vanlauwe, Bernard, Sanginga, N.

    Publicado 2015
    “…Furthermore, IITA is fine-tuning its delivery systems as indicated through the early achievements of our Business Incubation Platform (BIP) and its Aflasafe, Nodumax and GoSeed product lines. …”
    Enlace del recurso
    Ponencia
  5. Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine por Tibebe, Degefie, Seid, Jemal, Abera, Wuletawu, Saito, Kazuki, Mkuhlani, Siyabusa, Leroux, Louise, Mabilangan, Abigail, Ghosh, Aniruddha, Kihara, Job

    Publicado 2025
    “…This strategy requires integrating climate information across two distinct temporal scales: (i) Strategic Planning (3-6 Months): Utilizing seasonal forecasts to guide critical long-term decisions, including optimal variety selection, defining the best sowing or planting windows, and facilitating access to bundled financial services (AFR-2419, 2024) (ii) Tactical Execution (10-Day): Employing dynamic, high-frequency sub-seasonal forecasts to provide precise, in-season adjustments necessary for critical management actions, such as fine-tuning fertilizer application schedules, managing supplementary irrigation, and determining optimal harvest timing(CGIAR, 2024). …”
    Enlace del recurso
    Informe técnico

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