This publication is one of four CABI briefings on climate change. The key messages in this briefing are:

• Farmers need timely, accurate, and clear advice on how to manage pest risks
• Digitally-enabled early warning systems can help farmers adapt and minimize losses
• The complex interactions between pests, plants, and the environment under future climate change scenarios need further research to determine best practices
• Scaling digital climate information services will require a sharp focus on equity and inclusion

This webinar on Precision Agriculture for Smallholders was organized in 2020 by the Forum for Agricultural Research in Africa (FARA) in collaboration with the partners Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA), Centre for Coordination of Agricultural Research and Development for Southern Africa (CCARDESA, West and Central African Council for Agricultural Research and Development (CORAF) and financial support of the European Union and the International Fund for Agricultural Development (IFAD).

Outlines of the presentation:

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.

The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.

Humanity is faced with the challenge of ensuring food security for all, while respecting the earth’s ecological boundaries. Organic agriculture makes a valuable contribution here. In Africa, certified organic farming is limited to just 0.2 percent of agricultural land – compared to all other continents, the smallest share worldwide. The potential for expanding organic agriculture is great, because it is economically viable in the long term, preserves human, animal and environmental health and conserves soil resources.

Responding to global food crisis, such as imposed by climate change, requires resilient food systems that are able to respond to shocks. Resilience thinking, as an approach to agriculture development, focuses on enhancing the capacity of both the human and ecological systems inter alia. In this paper, the concept of resilience is approached from the perspective of socio-ecological systems dynamics. In particular, the study examined the contribution of farmers to research towards enhanced resilience of traditional African vegetable production systems in northern Ghana.

ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia. 

Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.

Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.