Cocoa production is a major export crop in West African countries such as Liberia, Cote d’Ivoire, Ghana, Togo, and Nigeria. These countries collectively contribute to 70% of global cocoa production. Cote d’Ivoire, Ghana, Nigeria, Liberia, and Togo are leading economies and significant hubs for cocoa production. Cocoa cultivation in West Africa primarily relies on rainfall, with approximately six million hectares of land dedicated to cocoa production.

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.

In response to the escalating waste management challenges triggered by rapid urbanization and its effects on resource use and the environment a Circular Bioeconomy Innovation Hub (CBE-IH) has been set-up in Ghana, under the leadership and facilitation of the International Water Management Institute (IWMI) with the support of CGIAR Initiatives Resilient Cities and Nature Positive Solutions.

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.

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.

Potato is an important crop in Uzbekistan agriculture for multiple reasons. It contributes to food security and nutrition quality. This crop has been facing pests and diseases with limited efforts to address these issues. This rapid assessment conducted in spring 2023 helps to fill the gap in how the potato seed system is organized and functioning. We used the multi-stakeholder framework to collect information from key actors involved in the potato value chain. Our results show relatively weak ties among all the stakeholders.

This study presents a comprehensive approach to developing an effective monitoring system for e- flow implementation in river ecosystems using high-resolution 3D modeling and modern sensor technology. The research focuses on the Limpopo and Incomati basins in Southern Africa.

The workshop addressed how Anticipatory Action (AA) strengthens the disaster preparedness in Sri Lanka's vulnerable community for flood and landslide disasters, especially during monsoon seasons. World Vision Lanka, with support from stakeholders like the Disaster Management Centre and the National Building Research Organization, is implementing an Anticipatory Action for Disaster Mitigation Project in Nuwara Eliya.

With limited arable land and increasing
population, India faces a unique challenge in
ensuring food and nutrition security, especially
as climate change intensifies. Access to high
quality seeds of improved crop varieties is
critical for enhancing agricultural production
and productivity and ensuring food security.
But as access to such quality seeds from
the formal sector is limited, many of the
smallholder farmers are forced to rely on
farmer-saved seeds. The Government of India

The importance of improving the FAIRness (findability, accessibility, interoperability, reusability) of research data is undeniable, especially in the face of large, complex datasets currently being produced by omics technologies. Facilitating the integration of a dataset with other types of data increases the likelihood of reuse, and the potential of answering novel research questions. Ontologies are a useful tool for semantically tagging datasets as adding relevant metadata increases the understanding of how data was produced and increases its interoperability.