Brazil has transformed from being a net food importer, to one of the largest agricultural exporters in the world. The country is now one of the top global funders of agricultural innovation, with a special emphasis on funding R&D for sustainable agriculture. While food insecurity and environmental challenges exist in many parts of Brazil, social programs and funding in innovation have helped those in need.
Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.
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.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
This document on Good Practices in Extension Research and Evaluation is developed as a hands on reference manual to help young researchers, research students, and field extension functionaries in choosing the right research methods for conducting quality research and evaluation in extension. This manual has been compiled by the resource persons who participated in the Workshop on ‘Good
The main objective of this study was to investigate and analyse the farmers’ perceptions on criteria and indicators for sustainable management of indigenous agroforestry systems in Uttarakhand state of India. The present study was conducted to document the traditional knowledge and considered five broad categories including agriculture management, livestock management, forest sustainability, social benefits, and policy inputs along with 16 criteria and 34 indicators were identified.
Existing studies which have examined the impact of group farming on farm productivity have focused predominantly on former socialist regimes, usually comparing production under various types of collectivised/cooperatized farms with farm enterprises that emerged in the post-reform period, or after decollectivisation. Given this specificity, their experience is at best indicative; it cannot provide substantive lessons on the potential outcomes of group farming in today’s developing countries. This paper seeks to do so.
The Commission on Sustainable Agriculture Intensification (CoSAI) and the Foreign, Commonwealth and Development Office (FCDO) jointly commissioned a gap study to determine how far away innovation investment is from helping agri-food systems achieve zero hunger goals and the Paris Agreement while reducing impacts on water resources in the Global South. The results show that the world can come much closer with some well-placed investments.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.