Pour répondre aux énormes besoins du Tanganyika, l'Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO) et le Programme alimentaire mondial (PAM) mettent en œuvre un programme intégré visant à renforcer la résilience des communautés et à consolider les chaînes de valeur agricoles. Ceci est fait en collaboration avec le gouvernement de la RDC (au niveau national et provincial) et les partenaires coopérants, y compris les organisations humanitaires nationales et internationales.
This paper reviews a recent donor-funded project concerning the introduction of post-harvest technology to poor hill farmers in India. Rather than conform to conventional development aid projects of either a “research” or an “interventionist” nature, it combines both approaches in a research-action program, which has more in common with a business development approach than a formal social science one. An important conclusion is that the work (and apparent success) of the project is consistent with an understanding of development that emphasizes the importance of innovation systems.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Rwanda has experienced exceptional economic growth since 2000 despite more than 60% of the predominately-agrarian population living on less than $1.25 a day. Approximately 76% of the country’s working population are engaged in agricultural production, which makes up about one-third of the national economy. Agriculture is also an important source of foreign exchange, making up about 63% of the value of Rwanda’s exports.
Where CGIAR breeding programs rely on the private sector for the multiplication and distribution of improved cultivars, persistent challenges have dampened their impact on varietal adoption and turnover rates. Part of the problem is that research and practice in CGIAR and among its national breeding program partners tend to treat the private sector as a vehicle for seed delivery, rather than as commercial businesses facing a range of unique constraints and threats.
While smallholder farmers are the primary food producers in Southern Africa, contributing to 90 percent of food production in some countries, often systems in the region do not support profitability for them. WFP is working across Southern Africa to address bottlenecks in food systems to enhance the resilience of smallholder farmers. This factsheet gives an overview of WFP’s approach to smallholder farmers.
This paper explores the use of actor-oriented approaches in natural resource-based development. It begins by reviewing the need to bring an analysis of actor linkages, coalitions and information flows higher on the agenda in planning, implementation, monitoring and evaluation. Various tools which could assist in doing this are introduced and their use is illustrated in case studies of natural resource-based research and development (R&D) projects in Nepal and Bangladesh.
Technology and innovation are important in addressing complex problems in the agricultural sector in many developing communities. However, ways and mechanisms to integrate them in the agricultural sector are still a challenge due to the lack of clear pathways and trajectories. Value chains are seen as a strong policy instrument to increase profitability in the agricultural sector; there is also debate around whether value chains can be a potential option to organize technology and innovation trajectories in agriculture.
The impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.
Inclusive business models dominate current development policy and practices aimed at addressing food and nutrition insecurity among smallholder farmers. Through inclusive agribusiness, smallholder food security is presumed to come from increased farm productivity (food availability) and income (food access). Based on recent research, the focus of impact assessments of inclusive business models has been limited to instrumental aspects, such as the number of farmers supported, the training provided, and immediate farm outcomes, namely revenue.