Controlled Environment Agriculture (CEA) is the production of plants, fish, insects, or animals inside structures such as greenhouses, vertical farms, and growth chambers, in which environmental parameters such as humidity, light, temperature and CO2 can be controlled to create optimal growing conditions.
Le principal défi des systèmes alimentaires africains à l’avenir sera de fournir de la nourriture à une population en croissance rapide dont les régimes alimentaires et les préférences alimentaires évoluent. Alors que la population européenne diminue, les consommateurs exigeant des aliments produits de manière écologiquement et socialement responsable, la population africaine va plus que doubler entre 2020 et 2050, la demande alimentaire augmentant encore plus en raison des changements alimentaires.
The main challenge for African food systems in the future will be to provide food for a rapidly growing population with changing diets and food preferences. Whilst the population of Europe is decreasing, with consumers demanding food that is produced in an environmentally and socially responsible way, Africa’s population will more than double between 2020 and 2050, with food demand increasing even more as a result of dietary changes.
The contributions and dynamic interaction of thousands of stakeholders from all sectors have created the GCARD (Global Conference on Agricultural Research for Development) Roadmap, providing a clear path forward for all involved. The Roadmap highlights the urgent changes required in Agricultural Research for Development (AR4D) systems globally, to address worldwide goals of reducing hunger and poverty, creating opportunity for income growth while ensuring environmental sustainability and particularly meeting the needs of resource-poor farmers and consumer.
This study presents a quasi-experimental analysis of the impact of FairTrade certification on the commercial performance of coffee farmers in Tanzania. In doing so the study emphasises the importance of a well-contextualised theory of change as a basis for evaluation design. It also stresses the value of qualitative methods to control for selection bias. Based on a longitudinal (pseudo-panel) dataset comprising both certified and conventional farmers, it shows that FairTrade certification introduced a disincentive to farmers’ commercialisation.
World Bank Institute (WBI) works to improve the understanding, practice and results of capacity development, an important way to support development goals and priorities for aid effectiveness. WBI developed the Capacity Development and Results Framework (CDRF), as a strategic and country-led approach to capacity development that emphasizes the empowerment of local agents through learning, knowledge and innovation.
This paper compares lessons learned from nine studies that explored institutional determinants of innovation towards sustainable intensification of West African agriculture. The studies investigated issues relating to crop, animal, and resources management in Benin, Ghana, and Mali.The studies showed that political ambitions to foster institutional change were often high (restoring the Beninese cotton sector and protecting Ghanaian farmers against fluctuating cocoa prices) and that the institutional change achieved was often remarkable.
This study, conducted by the World Bank at the request of the Government, is motivated by the need to understand Malaysia’s progress in facilitating the shift to a knowledge-focused economy.
This report elaborates on how to use the agricultural knowledge and innovation systems framework to promote innovation at different levels with special focus on European issues related to the implementation of Horizon 2020. It is of value as a conceptual and methodological reference regarding the Agricultural Knowledge and Innovation Systems (AKIS).
Multi-stakeholder partnerships network which is typified by the FARA-led Integrated Agriculture Research for Development (IAR4D) of the SSA-Challenge Program is an innovation platform (IP) composed of stakeholders bound together by their individual interests in a shared commodity or outcome. The result from such innovation platforms is largely influenced by the strength of the network. In this paper, similarities within and across platforms are assessed using the simple matching procedure. Results indicate consistency in conduct of Innovation Platform activities.