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Displaying 1 - 3 of 3 results.

Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South

The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.

Tema(s): 
aprendizajeinvestigación
Año de publicación: 
2021
Autor (es): 
Commission on Sustainable Agriculture Intensification (CoSAI)
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Learning from agri-food innovation pathways in Brazil, India and Kenya

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.

Tema(s): 
políticasinnovaciónaprendizaje
Año de publicación: 
2022
Autor (es): 
Commission on Sustainable Agriculture Intensification (CoSAI)
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Eight research and innovation principles for sustainable and equitable agri-food systems

A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.

Tema(s): 
seguridad alimentaria y nutricionalinnovaciónaprendizajeinvestigación
Año de publicación: 
2022
Autor (es): 
Commission on Sustainable Agriculture Intensification (CoSAI)
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