Increasing investment and spending in agricultural innovation is not enough to meet Sustainable Development Goal (SDG) targets of ending poverty and hunger because the effectiveness of investments in low- and middle-income (LMI) countries is affected by the low quality of infrastructure and services provided, and by different norms and practices that create a considerable gap between financing known technical solutions and achieving the outcomes called for in the SDGs.
Cities are highly visible centers of mass consumption of food and vast excretion of waste; they are less often associated with the production of food. Yet closer observation of cities in the Global South reveals that they are also locations of food production. This report describes the major challenges affecting crop cultivation and animal raising as well as food consumption in and around cities, where many households are poorly fed, negatively affected by unsustainable urbanization processes, and threatened with a warming and disease-prone world.
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.
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.
The CGIAR is the leading global agriculture research institution working towards creating sustainable agricultural practices a reality through research and innovation. The CGIAR 2030
To meet the growing demand for food in the Global South in a sustainable manner, current funding in agricultural innovation will need to be increased exponentially. Some estimates suggest up to USD 320 billion annually is required to help meet the UN SDG Goals for food and agriculture by 2030. Current levels of funding for agriculture and agricultural innovation fall far short of this and hence efforts to induce more funding for these goals, including through the use of new financing instruments1, is critical going forward.
The only specialized multilateral development institution focused exclusively on rural development, IFAD has successfully used agriculture as a means of poverty reduction – contributing ~USD 22 billion in funding to date1. About 90% of IFAD's portfolio is focused on Low to Middle Income (LMI) countries. IFAD stands out with its nutrition and gender-sensitive lenses coupled with investments in climate-resilient agriculture – mainstreaming nutrition, gender, and climate change work in agriculture.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated
Growing empirical evidence suggests that innovation platforms can be effective in enhancing agricultural research impact by creating an enabling environment for scaling of innovations such as novel technologies, practices and busines models . However, efforts to understand how these innovation platforms operate to scale innovations are insufficient. Such knowledge is critical for improving the design of agricultural innovation systems, specifically within the context of a rising interest in the innovation platform approach to support the transformation of agriculture across Africa.
Many indigenous vegetables are generally underutilized across different cultures, but they remain alternatives to exotic vegetables that often are expensive. This study investigated effects of participation in indigenous vegetable production on livelihood of farmers. Multistaged sampling was used to collect data from 222 vegetable farmers sampled from using a semi-structured questionnaire. Principal component analysis and endogenous switching regression (ESR) were employed for analysis