En 2011, la Plateforme pour un partenariat Afrique-Europe dans le domaine de la recherche agricole pour le développement (Platform for African European Partnership on Agricultural Research for Development, PAEPARD) a lancé le processus guidé par les utilisateurs (PGU) afin de mieux intégrer leurs besoins dans un partenariat multiacteurs pour la recherche et l’innovation (R&I).
La presentación explica qué tipo de indicadores se pueden usar para valorar la extensión rural.
L’organisation de consultations sectorielles et multiacteurs a fait partie intégrante de la première phase du programme PAEPARD II, qui a couvert la période 2009-2013. Ces consultations se sont inscrites dans l’objectif général du programme, soit la réorientation de la collaboration scientifique et technique entre l’Afrique et l’Europe dans le domaine de la Recherche agricole pour le développement (RAD) afin de favoriser la mise en place de partenariats multi-acteurs orientés vers la demande et mutuellement bénéfiques.
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
En México y en el mundo, la incorporación de la comunidad científica (entre ellos los ecólogos) a la generación de conocimientos que coadyuven a solucionar los graves problemas ambientales, y avanzar hacia la sustentabilidad, requiere de una visión diferente en la investigación. Más aún, se requiere de herramientas novedosas para acoplar el trabajo de la comunidad científica con el resto de la sociedad.
E‐KOKARI is an Interactive Voice Response (IVR) platform, developed in Niger, which enables farmers, breeders and buyers to access information, advice, warnings and market prices in the field of agriculture and livestock. When a user dials a short number from his phone he can access a voice menu in the main local languages (French, Hausa and Zarma) of the country, which guides him/her according to his/her needs. A prototype was developed and tested during a period of 10 months in the course of 2017, but the practice still needs to be implemented and evaluated in the field.
This paper is a case study of a network that combined participatory approaches to propose best suited knowledge management (KM) interventions for its member countries. A five-step exercise used existing elements of the alliance’s strategy, a KM survey and a face-to-face participatory validation of the analysis, to identify gaps in current KM approaches and to collectively point to immediate opportunities for improvement. The KM survey, also referred to as a scan, provided a neutral space for reflection.
The purpose of this research was to investigate factors influencing agricultural personnel and consultants’ attitude and behavioral intention to use precision agricultural technologies. The survey research and multistage random sampling were used to collect data from 183 agricultural consultants in Agricultural Engineering and Technical Consulting Services Companies in Iran
The project Small Farms, Small Food Business and Sustainable Food Security (SALSA) intends to assess the role of small farms and small food business in terms of food production and food security. One important first step in doing this is to test and develop methods and tools able to produce accurate and useful information about small farms.