Inefficiencies and imprecise input control in agriculture have caused devastating consequences to ecosystems. Urban controlled environment agriculture (CEA) is a proposed approach to mitigate the impacts of cultivation, but precise control of inputs (i.e., nutrient, water, etc.) is limited by the ability to monitor dynamic conditions. Current mechanistic and physiological plant growth models (MPMs) have not yet been unified and have uncovered knowledge gaps of the complex interplay among control variables.

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.

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.

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.

- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.

Ethiopia is a home for diverse livestock including small ruminants and has the largest population of livestock in Africa. Livestock is kept for export earnings, food security, economic growth, poverty reduction and employment opportunities. Small ruminants are an important resource for livelihood and food security improvement serving as sources of food, income, risk mitigation, property security, monetary saving, investment, and providing other social and cultural benefits.

IFAD’s technical assistance programme INSURED (Insurance for rural resilience and economic development) has been building knowledge about how to strengthen women producers’ access to climate risk insurance. Working with partners, INSURED supported research, and fieldwork in Ethiopia including group discussions with smallholders about insurance options. A checklist was drawn up for insurance designers and implementers to help them reach out to women every step of the way.

This thematic note discusses the role of innovation brokers in bridging communication gaps between various actors of innovation systems. On the basis of recent experience in the Netherlands, it outlines the success of brokers in finding solutions adapted to the needs of farmers and industry, and thus their positive impact on innovation adoption. This section also examines some issues on how brokers function, particularly with regard to balancing interests, funding their activities, and the role of government.

This Module is the first in a series of four that address capacity development competencies in FAO. It is intended to provide FAO staff and consultants with a basic understanding and knowledge of Capacity Development (CD), reflecting the international debate as well as FAO’s perspective on CD. It also provides some key concepts for adopting changes in responsibilities, behaviours and attitudes that are consistent with FAO’s new role in CD. 

The IFAD Innovation Strategy does not set new objectives for staff, but rather defines what is needed to create an innovation-friendly environment and to support staff in achieving the expected results.To strengthen its innovative capabilities and become a better catalyst of pro-poor innovation, IFAD will focus on four clusters of activities: (i) Building capabilities and understanding of challenges requiring innovation; (ii) Nurturing partnerships and facilitating an innovation network; (iii) Embedding rigorous innovation processes and the related risk management into IFAD’s core business