At the 5th Global Science Conference on Climate-Smart Agriculture in Bali, CCAFS, IFAD and USDA-FAS organized the Side event “Accelerating innovation development and scaling climate-smart agriculture to drive a transformation in food systems”. High-level representatives of > 20 governments, research, donor, financial and policy institutions, civil society and private sectors discussed their previously shared insights and agreed to act as an “Insight Group” for further related CCAFS research and action.
This paper explores possible pathways for different types of farmers, considering where they might be in the future, beyond 2030 and the era of the SDGs. It outlines some of the necessary interventions, risks and trade-offs associated with these different pathways, for farmers operating in a variety of agricultural systems globally, including cropping, livestock and tree (silvopasture) systems. It also considers the impacts of different disruption scenarios that could radically alter anticipated pathways and offers a range of possible interventions.
Governments in sub-Saharan Africa and their donors have made business investment a major policy goal, supported by a variety of incentives designed to support business investment in agriculture. However, little is known about the factors which influence agribusiness investment in Africa, and how effective these incentives have been. This paper examines the motivations of agribusiness investment, the effectiveness of government and donor policy incentives, and the relevance of these incentives for four different commercialisation pathways.
This report presents and reflects on the opportunities that new technological developments related to automation and precision agriculture (e.g. robotics) can offer to agriculture in developing countries. These technologies are mainly targeted to support farmers that struggle with the cost of labour when harvesting crops and to tackle the declining availability of manpower for general cropping operations.
Le présent rapport étudie les possibilités que les nouvelles avancées technologiques liées à l’automatisation et à l’agriculture de précision (la robotique, par exemple) peuvent offrir à l’agriculture dans les pays en développement. Ces technologies visent principalement à aider les agriculteurs appelés à faire face au coût de la main-d’oeuvre nécessaire pour les opérations de récolte, ainsi qu’à répondre au problème de la raréfaction de la main-d’oeuvre disponible pour l’ensemble des travaux agricoles.
Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
Feeding the world’s steadily growing population while respecting the planetary boundaries will be a key challenge for humanity in the future. Prevailing production and consumption patterns are leading to a loss of natural resources and destroying ecosystems and their functions. More than 820 million people were affected by malnutrition in 2017. Climate change is exacerbating this development and pushing natural ecosystems to their limits, something that is having far-reaching consequences for the environment, the economy and humanity.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
The current deliverable (D6.2) is divided into two parts each corresponding to one of its two main audiences, namely:
Part 1 – Scientific Methodology