Nearly half of Vietnam’s wetlands are concentrated in the Vietnamese Mekong Delta. Wetlands play an important role in carbon storage while contributing to Vietnam’s biological diversity and economy. This report reviews the wider literature to understand how land use within the Vietnamese Mekong Delta and likely management scenarios can impact greenhouse gas emissions.

The current report presents a machine learning model developed to predict malaria prevalence based on rainfall patterns, specifically tailored to different regions within Senegal. The developed model takes into account the varying climate conditions across regions to provide a more localized and accurate prediction. The primary input parameters used for prediction include rainfall, month, and year, allowing the model to capture each region's seasonal variations and trends.

Knowledge management and sharing is essential for agricultural development, fostering the exchange of valuable information and innovative practices among researchers, farmers, and extension officers. Recognising this, regional initiatives such as Ukama Ustawi (UU) play a critical role in ensuring that research findings are not confined to academic journals but are made accessible to those who need them the most.

This study presents an innovative tool and approach developed to facilitate the adaptive testing or monitoring of e-flow frameworks and environmental flows (e-flows) implementation using digital tools and real-time data to ensure sustainable water resource management. The project, conducted in two river basins in southern Africa, focuses on creating a user-friendly digital Application Tool, integrated with a high-resolution 3D model and modern sensors, to monitor changes in river ecosystems post eflow implementation.

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.

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).

Soil acidity is a major constraint to crop production in Ethiopia. It has affected soil health resulting in, inefficient use of fertilizer, significant crop yield losses, and shortage of feed for livestock in wheat-based mixed farming systems. Soil acidity level in the country is highly variable and require context-specific lime recommendations.

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.