Livestock production in Tanzania remains overwhelmingly traditional, especially for ruminants, while domestic demand remains very much for products produced in traditional value chains. However, there are opportunities for upgrading value chains, especially in manufacturing leather and expanding productivity for milk and meat. Given the high potential climate impact of these livestock activities, it is important to understand their carbon dynamics and emission impacts.

The dynamic digitalization of agri-food systems has generated a call for a Responsible Research and Innovation (RRI) approach, emphasizing ethical and sustainable technology adoption. Existing RRI frameworks prioritize fair benefits distribution, data privacy, and stakeholder engagement, aiming for transparent governance and proactive risk management. Despite these efforts, challenges persist in responsible digital innovation, including an excessive focus on technology design, inadequate stakeholder engagement, and difficulties in comprehending digital transformation processes.

A detailed guide to the gender smart agriculture framework, including design, implementation, and assessment. A Gender-Smart Agriculture (GSA) approach takes into account women’s priorities and access to technology, resources, and information to facilitate climate resilience through equality and agency.

The sequence of modules and themes follows a certain logic as per the growth and development cycle of the potato crop. Therefore, it is recommended to follow the same sequence during training sessions. This guide can be used either for the training of trainers (the training of potential trainers of producers) or directly for the training of producers. For each theme, the trainer-of-trainers or the trainer should allocate a minimum of 15 minutes for presentation and 10 minutes for questions and answers.

Both natural and managed systems in the Limpopo River basin in Southern Africa are highly dependent on rainfall. Information on total seasonal rainfall amounts is of great value for resource management and decision making for adaptation and building resilience to climate variability. Recent progress in the development of digital tools allowing the integrated representation of complex natural systems, the so-called digital twins, represent an opportunity for making.

This report describes the process carried out a pilot project to evaluate a scalable disruptive approach to integrating data for agronomy research that also incentivizes sustainable production and enables traceability using open data sharing protocol with self-sovereign identity (SSI).

This paper analyzes integrated crop-livestock farming systems in dryland regions of Senegal using household survey data and whole farm household modeling. It focuses on the Kaffrine and Thies regions, which exhibit differences in cultivated land area, staple crops grown, and livestock holdings. The analysis identifies region-specific opportunities to sustainably enhance productivity, resilience, and food security. The mechanistic model incorporates factors like crop mixes, livestock herd dynamics, climate impacts, economics, and labor to simulate entire farms.

The Index-based flood insurance (IBFI) is one of the outputs of the research under the initiative on Diversification in East and South Africa (UU), Work Package two (WP2): Bundling climate insurance solutions focusing on a case study in districts in Southern part of Zambia. This research was developed by the International Water Management Institute (IWMI) co-designed with an insurance institution and insurance product developers and co-implemented with the Ministry of Agriculture (MoA) and Disaster Management and Mitigation Unit (DMMU) of Zambia.

The frequency and severity of extreme weather events are presenting substantial challenges to communities and nations worldwide. The already escalating impact of climatic hazards is expected to persist due to ongoing climate change. While strides have been made in enhancing forecasting capabilities and establishing early warning systems, global coverage remains inadequate, with just 40% of African countries reporting a multi-hazard early warning system in place as of 2022.