Resultados de búsqueda - Ostia~

  1. Harnessing Machine Learning to Estimate Aquaculture’s Contributions to The Economy of Southwest Bangladesh por Belton, Ben, Haque, Mohammad Mahfujul, Ali, Hazrat, Nejadhashemi, Amir Pouyan, Hernández, Ricardo, Khondker, Murshed-E-Jahan, Ferriby, Hannah

    Publicado 2022
    “…The research combined machine learning derived estimates of aquaculture farm area per district with data from statistically representative farm surveys to estimate farm size, productivity, and total output, economic value of production, on-farm employment generation by gender, and demand for formulated and non-formulated feeds.…”
    Enlace del recurso
    Ponencia
  2. Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh por Belton, Ben, Haque, Mohammad Mahfujul, Ali, Hazrat, Nejadhashemi, Amir Pouyan, Hernández, Ricardo, Khondker, Murshed-E-Jahan, Ferriby, Hannah

    Publicado 2022
    “…The presentation detailed the use of machine learning techniques to extract information from freely available satellite images and estimate the area of waterbodies used for aquaculture in seven districts in southern Bangladesh, one of country’s most important aquaculture zones producing fish for domestic markets and crustaceans for export.…”
    Enlace del recurso
    Resumen
  3. Estimating genetic gains for tolerance to stress combinations in tropical maize hybrids por Menkir, A., Dieng, I., Meseka, S.K., Bossey, B., Mengesha, W., Muhyideen, O., Riberio, P.F., Coulibaly, M., Yacoubou, A.M., Bankole, F.A., Adu, G.B., Ojo, T.

    Publicado 2022
    “…The main objective of the present study was therefore to use grain yield and other agronomic traits recorded in regional collaborative hybrid trials conducted for 8 years under manged stressful and non-stressful conditions and across rainfed field environments to estimate genetic gains in grain yields using mixed model analyses. …”
    Enlace del recurso
    Journal Article
  4. Bias correction of daily chirps-V2 rainfall estimates in Ghana por Johnson, R.

    Publicado 2022
    “…However, biases in satellite rainfall estimates and the ability for these rainfall products to effectively capture rainfall indices poses major issues for researcher and various key stakeholders. …”
    Enlace del recurso
    Tesis
  5. Genes and models for estimating genetic parameters for heat tolerance in dairy cattle por Habimana, Vincent, Ekine-Dzivenu, Chinyere C., Nguluma, A.S., Nziku, Z.C., Morota, G., Chenyambuga, S.W., Mrode, Raphael A.

    Publicado 2023
    “…This review synthesizes information pertaining to quantitative genetic models that have been applied to estimate genetic parameters for heat tolerance and relationship between measures of heat tolerance and production and reproductive performance traits in dairy cattle. …”
    Enlace del recurso
    Journal Article
  6. Mismeasurement and efficiency estimates : Evidence from smallholder survey data in Africa por Abay, Kibrom A., Wossen, Tesfamichael, Chamberlin, Jordan

    Publicado 2023
    “…We show theoretically that non-classical measurement error introduces multiple identification challenges and sources of bias in estimating smallholders' technical inefficiency. We then empirically examine the implications of measurement error for the estimation of technical inefficiency using smallholder farm survey data from Ethiopia, Malawi, Nigeria and Tanzania. …”
    Enlace del recurso
    Journal Article
  7. The paper of how: Estimating treatment effects using the front-door criterion por Bellemare, Marc F., Bloem, Jeffrey R., Wexler, Noah

    Publicado 2024
    “…After a preliminary discussion of the identification assumptions behind and the estimation framework used for the front-door criterion, we present an empirical application. …”
    Enlace del recurso
    Journal Article
  8. Mismeasurement and efficiency estimates: Evidence from smallholder survey data in Africa por Abay, Kibrom A., Wossen, Tesfamichael, Chamberlin, Jordan

    Publicado 2022
    “…We theoretically show that non-classical measurement error introduces multiple identification challenges and sources of bias in estimating smallholders’ technical inefficiency. We then empirically examine the implications of measurement error for the estimation of technical inefficiency using smallholder farm survey data from Ethiopia, Malawi, Nigeria, and Tanzania. …”
    Enlace del recurso
    Artículo preliminar

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