This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) in relation to the AIS capacity to enact a co-innovation approach, in which all relevant actors in the agricultural sector contribute to combined technological, social and institutional change. Systemic problems are factors that negatively influence the direction and speed of co-innovation and impede the development and functioning of innovation systems. The contribution in the paper is twofold.
In this paper the developments in agricultural research and education in the Netherlands will be presented in a historic context and the recent evolutions in agriculture-based research and knowledge systems are evaluated. It is concluded that societal needs, scientific discoveries, and public and private funding are the driving forces behind change. However, most important for the quality and vigour of knowledge centres is the ability to adapt to change
The focus of this research is youth-led innovation, whereby young people instigate potential solutions to a problem, often one that they have identified or defined themselves, and take responsibility for developing and implementing a solution. This report analyses the research to date on youth-led innovation and identifies evidence of impact. It highlights that opportunities to participate in innovation increase young people’s likelihood to innovate in the future and what helps or hinders youth-led innovation.
To successfully realize the African transformation agenda, governments will have to capitalize on the potential of Africa’s youth. Growing up in an increasingly free and fair continent, the young people of Africa are dynamic, forward-looking and best positioned to find innovative solutions to local chal-lenges through the use of science and technology. To do this, conditions have to be suitable and young people need an environment in which barriers to self-actualization are broken.
What efforts need to be made to effectively mainstream gender in agrifood value chain projects and programmes? When can a value chain intervention be considered ‘gender-sensitive’? What actions can be implemented to address gender inequalities along the chain?
This briefing note sets out, at the start of this collaborative learning journey, the authors understandings of collaborations and capacity development and how these relate to activities within the network. The final section outlines the main elements of our approach to monitoring, evaluation and learning (MEL)
This brochure presents startup profiles, an incubatee coffee table book which captures the brief profile of agriculture startups being incubated at a-IDEA, the Technology Business Incubator of National Academy of Agricultural Research Management (ICAR-NAARM) supported by Department of Science & Technology of India. The incubation centre at NAARM is providing a conducive environment for growth of startups in agriculture.
'AgTech' is the latest discourse about introducing new technologies to agricultural production. Researchers, corporations, and governments around the world are investing heavily in supporting its development. Abu Dhabi, the largest and wealthiest emirate in the UAE, has been among these supporters, recently announcing a massive scheme to support AgTech companies. Given the extreme temperatures and aridity of the Arabian Peninsula, several new start-ups have focused on 'controlled environment' facilities – hydroponics and aeroponics in various kinds of greenhouses.
The purpose of this publication (part of the FAO series on sustainable food value chain development) is to facilitate the systematic integration of gender equality dimensions into value chain development programmes and projects. It raises awareness on gender inequalities and discusses the importance of addressing these dimensions in value chain development, while also building a common approach for work on gender-sensitive value chain development.
Small actors in agricultural value chains are tied to markets through a series of forward and backward business linkages, which incorporate various types of business models. The complexity of these business models varies according to the commodity, number of actors involved, local context and market structure.