In this perspective paper the authors consider the implications of a digital transformation for agricultural knowledge, a subject which hitherto has received limited attention. They raise critical questions about how digital agriculture will intersect with established modes of knowing and decision-making.
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.
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.
A huge increase in investment for innovation in sustainable agri-food systems (SAS) will be critical for meeting the objectives of the UN Sustainable Development Goals and the Paris Climate Agreement.
By 2050, it is projected that nearly 70% of the global population will live in urban areas – up from 55% today. How can towns and cities be fed sustainably? And what does this urban growth mean for innovation priorities? A study of urban and peri-urban agriculture (UPA), commissioned by CoSAI, addressed these questions.
If you are a research or innovation manager or a funder of innovation in the agrifood sector, in the private or public sphere, these Principles are for you. Investment in research and innovation today will shape the agrifood systems of the future. The choices that you make during an innovation process will affect the future benefits and drawbacks of the innovations you help to create: for example, what types of people gain and lose, and what the effects are on the environment. Too often, these choices are not made consciously, and important issues are overlooked until it is too late.
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.
This shift in thinking will require major shifts in policy, research, and investment. But where should these investments go? What foundations should be strengthened? Which gaps need filling? What’s working? What’s not?
In order to answer these questions in an informed way, we need to examine the evidence that exists and identify areas where more research is needed.
But this is easier said than done.
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.