Resultados de búsqueda - Ostia~

  1. The new vision of HarvestPlus, by Beverley Postma, CEO, HarvestPlus por International Institute of Tropical Agriculture

    Publicado 2017
    “…The New Vision of HarvestPlus, by Beverley Postma, CEO, HarvestPlus…”
    Enlace del recurso
    Video
  2. Studies on estimation of heterosis for striga resistance in maize test crosses in Mali por Sangare, S., Menkir, A., Ofori, K., Gracen, V.

    Publicado 2019
    “…Heterosis for yield, secondary traits and Striga resistance was estimated in maize test crosses generated from fifteen inbred lines and three testers using line by tester analysis. …”
    Enlace del recurso
    Journal Article
  3. Estimation of nitrogen content in herbaceous plants using hyperspectral vegetation indices por Stroppiana, D., Fava, Francesco P., Boschetti, M., Brivio, P.A.

    Publicado 2018
    “…Moreover, the most recent and advanced instruments for field measurements/estimates of leaf and canopy nitrogen are described. …”
    Enlace del recurso
    Capítulo de libro
  4. A review of land-based greenhouse gas flux estimates in Indonesia por Austin, K.G., Harris, N.L., Wijaya, A., Murdiyarso, D., Harvey, T.J., Stolle, F., Kasibhatia, P.

    Publicado 2018
    “…The large range among estimates is only somewhat smaller than Indonesia's GHG mitigation commitment. …”
    Enlace del recurso
    Journal Article
  5. Scenario-guided participatory enhancement of Costa Rica’s Nationally Determined Contribution por Veeger, Marieke

    Publicado 2021
    “…In this Info Note we exemplify how this can be done by mapping out how Costa Rica used a highly participatory approach to anticipate possible futures, increase ambitions and robust climate action, resulting in an NDC with enhanced climate ambitions.…”
    Enlace del recurso
    Brief
  6. Does use of unbordered plots affect estimation of upland rice yield? por Saito, Kazuki, Dieng, I., Vandamme, Elke, Johnson, J.M., Futakuchi, K.

    Publicado 2015
    “…We conclude that unbordered one‐ or two‐row plots can provide reasonable estimates of grain yield of upland rice without any bias due to competition effects, except for high‐yielding one‐row plots (>350 g m−2).…”
    Enlace del recurso
    Journal Article
  7. Fruit weight and yield estimation models for five avocado cultivars in Ethiopia por Mokria, Mulugeta, Gebrekirstos, Aster, Said, Hadia, Hadgu, Kiros, Hagazi, Niguse, Dubale, Workneh, Brauning, A.

    Publicado 2022
    “…Thus, pre-harvest yield estimation is necessary for market planning, monitoring, and tracking long-term productivity. …”
    Enlace del recurso
    Journal Article
  8. Optical mapping compendium of structural variants across global cattle breeds por Talenti, A., Powell, J., Wragg, D., Chepkwony, Maurine, Fisch, A., Ferreira, B.R., Mercadante, Maria E.Z., Santos, I.M., Ezeasor, C.K., Obishakin, E.T., Muhanguzi, D., Amanyire, W., Silwamba, I., Muma, J.B., Mainda, G., Kelly, R.F., Toye, Philip G., Connelley, T., Prendergast, J.

    Publicado 2022
    “…To do this we generated 100X Bionano optical mapping data for 18 cattle of nine different ancestries, three continents and both cattle sub-species. …”
    Enlace del recurso
    Journal Article
  9. MK3: On optimizing the management of cascades or systems of reservoirs at catchment level por Meynell, Peter-John, Carew-Reid, Jeremy, Ward, Peter, Sawdon, John, Ketelsen, Tarek

    Publicado 2010
    “…This project is about scaling up to the catchment level the results obtained from optimizing the management of individual reservoirs. …”
    Enlace del recurso
    Proposal
  10. Deep learning-based estimation of rice yield using RGB image por Tanaka, Y, Watanabe, T., Katsura, K., Tsujimoto, Y., Takai, T., Tanaka, T., Kawamura, K., Saito, H., Homma, K., Mairoua, S., Ahouanton, K., Ibrahim, A., Senthilkumar, Kalimuthu, Semwal, V., Corredor, E., El-Namaky, R., Manigbas,N., Quilang, E.J.P., Iwahashi, Y., Nakajima, K., Takeuchi, E., Saito, Kazuki

    Publicado 2021
    “…Here, we provide a deep learning-based approach for estimating rice yield using RGB images. During ripening stage and at harvest, over 22,000 digital images were captured vertically downwards over the rice canopy from a distance of 0.8 to 0.9 m, and rice yields were obtained in the corresponding area ranging from 0.1 and 16.1 t ha −1 . …”
    Enlace del recurso
    Preprint

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