PARI research focuses on identifying and scaling promising agricultural innovations for agricultural growth and food security in Africa and India.
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
The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin.
This study describes the operation of the agricultural multistakeholder platforms and assesses the impact of their activities on the production and revenue of
the different beneficiaries.
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.
The Food-Recommender is an android-based application which offers food recommendations based on an analysis of anthropometrics and food intake.
The IPAbP aims at aggregating information about all agricultural innovation platforms in Africa to foster linkages with other agricultural innovation organizations, donors and development partners.
This policy brief discusses how to match innovations with human and ecological potential within and outside the agriculture sector
The eAtlas offer access to high quality and highly disaggregated data on agricultural, socio-economic, and bio-physical indicators in Africa.