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and cost in three development level areas. Currently, the decision tool is used in Mozambique, Malawi, Kenya, and Tanzania. The model has supported the start‐up of at least 17 small seed companies ...
the magnitude of platform usage among diverse products , through a comprehensive discrete optimisation based decision model that addresses the simultaneous determination of product mix offering, product platform ...
greater (at 0.01 level ). Farmers who received support to grow lentil and those who purchased certified seeds are found to adopt the improved lentil varieties more than those who didn’t receive any support ...
underlying the decision and intensity of Research and Devel- opment (R&D) investments; the third links R&D capital to innovation output; the fourth focuses on Total Factor Productivity (TFP) as determined ...
, USA. We engaged state‐ level decision makers to identify parameters that were believed to be influential in determining funding allocations for Bull Trout core areas. Parameters were linked in a model ...
regression model found that adoption of improved teff has a positive and significant impact on teff productivity [13]. Regasa et al. (2018) conducted a research on the determinants of improved teff varieties ...
-1 The identification of influencing factors in crop yield (kg·ha ) provides essential information for decision -making processes related to the prediction and improvement of productivity , which ...
. teria Decision -Making (MCDM) model is developed and rapeseed varieties were evaluated. (2021) Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model . For determining ...
products in a family. To design a decision support mechanism that constructs process configuration corresponding to a given product configuration, this paper develops a formal modeling of process variety ...
of adoption of new variety , lack of use of enhanced technologies, lack of adequate road and rail network, and institutions that support agricultural development are the major reasons behind low productivity ...
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