The rapid growth of mobile phones in Ghana has opened up the possibility of delivering timely and useful weather and market information to farmers at costs lower than traditional agricultural extension services. In this paper, we assess the usefulness, constraints, and factors likely to influence farmers’ decisions to patronize mobile phone-based weather and market information. The study rely on primary data from 310 farmers in the Upper West Region, an understudied part of Ghana.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
From 4 June to 1 July 2012, the UN Food and Agriculture Organization (FAO) hosted a moderated email conference on "Ensuring the full participation of family farmers in agricultural innovation systems: Key issues and case studies". It was a highly successful global dialogue, with a very stimulating discussion. About 560 people subscribed to the conference, of whom 114 people (20% of the total), from nearly 50 different countries, wrote at least one of the 242 messages that were posted.
Innovation learning platforms have their roots in the agricultural innovation systems (AIS) approach. AIS emphasizes a systems view of agricultural innovations and conceptualizes an innovation system as all individuals and organizations that keep on interacting in producing and using knowledge and the institutional context of knowledge sharing and learning. Research creates knowledge and technology; but innovation process goes further to include putting that knowledge into use.
A Communique summarizing the outputs of the GFAR Retreat held from 30th March to 1st April 2007 in Alexandria, Egypt.
This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region.
Au Bénin, le soja connaît un accroissement de la production ces dernières années grâce au développement d’in-novations technologiques, organisationnelles et institutionnelles. Mais ces innovations susceptibles d’accroître la productivité, la compétitivité et la viabilité des exploitations agricoles ne sont pas adoptées à grande échelle dans au centre du Bénin. La présente étude a effectué une analyse de la mise en œuvre des systèmes d’innovation de soja au Centre-Bénin pour induire des changements dans les comportements des acteurs et dans les systèmes de production.
In this paper the authors present the development of an analytical framework to study agricultural innovation systems. They divide the agricultural sector into four levels and expand the innovation system approach to study innovation processes.
This paper examines different practical methods for stakeholders to analyse power dynamics in multi-stakeholders processes (MSPs), taking into account the ambiguous and uncertain nature of complex adaptive systems. It reflects on an action learning programme which focused on 12 cases in Africa and Asia put forward by 6 Dutch development non-governmental organizations (NGOs).
Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.