This brief describes the activities carried out by the International Fund for Agricultural Development in Moldova. Describes the projects that aims to enhance the economical development of the family farms in the country and the IFAD's strategy for reaching this goal
El presente documento se enmarca en el Proyecto “Estrategia de Extensionismo, red de instituciones nacionales e internacionales para proveer el sustento científico y tecnológico para el desarrollo de capacidades y extensionismo rural” y corresponde al entregable del Objetivo Específico 2.1, Documento con lineamientos a nivel político, estratégico y operativo que permitan avanzar en la incorporación de la perspectiva de género en las estrategias de extensionismo de la SAGARPA.
The Newsletter of the Tropical Agriculture Platform (TAP) provides regular updates on global activities by TAP and its partners, on the CDAIS projects and on upcoming related events. This issue specifically refers to the period from November 2018 to September 2019.
This article analyses spatial innovation dispersion and also level of innovation development across the crop sector. For this, five crude indicators viz. Mechanisation indicator, Vulnerability indicator, Concentration indicator, Stability indicator and Adoption indicator were constructed which determined the direction of innovation. Agricultural Innovation System encompasses both the facets of technology development and technology dissemination. However, much concentration and efforts were exerted on innovation and technology development part while the other part i.e.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
This teaching case study is to stimulate readers to think strategically and come up with innovative solutions to the challenges that Songxiaocai faces. The materials used to write this case is drawn from the sources including the semi-structured interviews with managers within Songxiaocai Company, online information, and materials
This article highlights the experiences and lessons generated by the project collaborators in enhancing the adaptive capacities of selected upland farming communities in Southeast Asia. The project collaborators employed capability building programs, such as farmers' and technicians' training, local climate change awareness programs, cross-farm visits, demonstration plots showcasing agroforestry technologies as climate change adaptation (CCA) strategies, and linking science with policies
This work brings data about the use of E-commerce and poverty reduction in rural areas of China and was presented on the Digital Innovation Dialogue Session 6: China’s Approaches and Experiences in Digital Agriculture and Digital Rural Area. The Digital Innovation Dialogue initiative was launched in early 2019 by the FAO and serve as a forum to enhance knowledge sharing and mutual learning between multidisciplinary innovation practitioners and FAO staff through open and informal discussions.
This work was presented by the Director General of Information Centre of the Ministry of Agriculture and Rural Affairs of China about the chinese experience in enhance the access of the rural areas to the internet and e-commerce. The presentation is divided in three parts: 1) Development and changes in China's agriculture and rural areas; 2) China's main approach to promoting e-agriculture and e-village; 3) Experience in e-agriculture and e-village of China.
Looking at local learning capacity and systems of relations can help to understand the potential to develop innovation within a specific context. This work contributes to the definition of new actors who are developing innovation for sustainability in rural areas. The study focuses on the knowledge systems of farmers who are applying alternative breeding strategies: it uses a network approach to explore the knowledge system in which individual farmers are embedded in order to understand their specific relational features.