This paper addresses the question how public-private partnerships (PPPs) function as systemic innovation policy instruments within agricultural innovation systems. Public-private partnerships are a popular government tool to promote innovations. However, the wide ranging nature of PPPs make it difficult to assess their effects beyond the direct impacts they generate for the partners.
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.
During the period 2013-2019, the Agricultural Extension in South Asia (AESA) Network has served as a platform for collating the voices, insights, concerns, and experiences of people in the extension sphere of South Asia. Diverse professionals shared their concerns on the present and future of Extension and Advisory Services (EAS) in the form of blog conversations for AESA. Together, all of these individuals who are involved, interested and passionate about EAS, discussed ways to move beyond some of the seemingly intransigent problems that are hindering the professionalization of EAS.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
The purpose of this report is to provide some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs. It does this by exploring the way in which this transformation agenda reframes agricultural research and innovation.
En esta presentación se describe la estructura, funcionamiento, prioridades y aportes del Sistema Nacional de Investigación y Transferencia de Tecnología Agropecuaria (SNITTA) en Costa Rica.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
Food systems are at a crossroads. Profound transformation is needed to address Agenda 2030 and to achieve food security and nutrition (FSN) in its four dimensions of availability, access, utilization and stability, and to face multidimensional and complex challenges, including a growing world population, urbanization and climate change, which drive increased pressure on natural resources, impacting land, water and biodiversity. This need has been illustrated from various perspectives in previous HLPE reports and is now widely recognized.
This study considers what lessons might be learned from the cassava value chain in the context of CTA’s interest in the potentials of: digital financial services for agriculture, such as mobile payments for farmers’ products; other payment streams for financial inclusion of farmer; index based insurance services; digital services to support access to loans and credits. This research provides a comprehensive market study of cash usage behavioural practices and financial literacy among cassava farmers in Ghana and Nigeria.
The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield. A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)