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.
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.
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.
This study reports on the contribution of farmer– to-farmer video-mediated group learning to capital assets building of women in resource-poor households. Data were collected using structured interviews with 140 randomly selected women in 28 video villages and 40 women in four control villages in north-west Bangladesh. Video-mediated group learning enhanced women’s ability to apply and experiment with seed technologies. It also stimulated reciprocal sharing of new knowledge and skills between them, other farmers and service providers.
In 2008, an NGO showed videos about rice to farmers in 19 villages in Benin. A study in 2013 showed that farmers remembered the videos, even after five years had passed. In most of the villages at least some farmers experimented with rice farming or with new technology after the video screenings, which attracted large audiences of community members, including youth and women. Some of the villagers also visited extension agencies to get rice seed, and occasionally to seek more information.
The authors aimed at knowing how different learning methods, such as video shows and workshops, change farmers’ knowledge, attitudes and practices about botanical pesticides. This paper explains how video engages men and women farmers in spreading botanical pesticides across 12 villages in Bogra District, north-western Bangladesh.The authors conducted ex ante and ex post surveys among farmers from November 2009 to September 2010. For data analysis, the authors used t-test and McNemer and Wilcoxon sign rank tests.
In Bangladesh, strengthening agricultural innovation calls for facilitation of interactive communication and a wide range of mediation tasks within (and between) stakeholders operating in different social spheres. This paper examines how a public-sector agricultural extension agency has attempted to change its roles in implementing a major agricultural extension project in order to strengthen agricultural innovation.
This paper contributes to the ongoing discussion in the scientific literature on the advantages and disadvantages of privatization of extension and advisory services and the shift from thinking in terms of the traditional Agricultural Knowledge System towards a broader Agricultural Innovation System.
This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders. Methodology: A descriptive research design was followed to study the agricultural innovation system in SRI.
Adapting through innovation is one way for rural communities to sustain and improve their livelihoods and environments. Since the 1980s research and development organizations have developed participatory approaches to foster rural innovation. This paper develops a model, called the Learning-to-Innovate (LTI) model, of four basic processes linked to decision making and learning which regulate rate and quality of innovation. The processes are: creating awareness of new opportunities; deciding to adopt; adapting and changing practice; and learning and selecting.