Imagen de Portada
Código QR

A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas

This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to pilot sites are more likely to adopt than those t...

Descripción completa

Autores principales: Rubiano Mejía, Jorge Eliécer, Cook, Simon E., Rajasekharan, Maya, Douthwaite, Boru
Formato: Journal Article
Lenguaje:Inglés
Publicado: Informa UK Limited 2016
Materias:
impact assessment
agricultural research
bayesian theory
simulation models
evaluación del impacto
investigación agraria
teoría de bayes
modelos de simulación
Acceso en línea:https://hdl.handle.net/10568/70261
Sumario:This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to pilot sites are more likely to adopt than those that are different or unfavourable. Similarity is defined from climate, landscape and socio-economic attributes. Favourability is further evaluated by project specialists. Scaling out is not a simple linear process, so the method is proposed as a complement to learning processes. Results can support prioritization and strategic planning over specific geographic areas.

Ejemplares similares