PARI Policy Brief No. 11: Realizing the Potential of Digital Technologies for Agricultural Development in Africa
This policy brief discusses opportunities and challenges for scaling digital technologies in African agriculture.
PARI research focuses on identifying and scaling promising agricultural innovations for agricultural growth and food security in Africa and India.
This policy brief discusses opportunities and challenges for scaling digital technologies in African agriculture.
Alternative Pathways towards Food Security.
This study looks in to pattern of agricultural mechanization along the entire value chain (production, post-harvest, processing, transport and storage) and compares it with the annual average agricultural output over the same time period.
The study analyzes the current state of Agricultural Technical and Vocational Education and Training (ATVET) in Africa and presents its challenges and opportunities.
This study measures the effect of climatic changes on the income of rice growers in Togo.
The study thus looked at the case of Togolese rice farmers in order to enlighten the decision-makers and to better guide them in the decision-making for the actions to come and to formulate proposals of solutions.
This brief compiles analyses of the current state of the agri-food sector, related policies and existing agricultural innovations in twelve African countries.
Results from a crop simulation model to inform policy and research
Given that the agriculture sector remains the most important economic sector in the region, policies that support its development and increase the human capacities of rural youth can significantly improve employment opportunities and quality.
The dossiers provide background information on the innovation environment, most relevant value chains and related innovations, and collaboration opportunities for 12 African countries with Green Innovation Centres.
This policy brief analyses which governance challenges must be addressed to make mechanization economically, socially and environmentally sustainable.
The crop model SIMPLACE was used in this study and it was tested against FAO statistics to evaluate the model performance under the current management conditions with traditional cultivars and average nitrogen application rates.