This report is a comprehensive synthesis of insights, discussions, and recommendations stemming from Ukama Ustawi’s (UU’s), Learning Alliance's strategic session held during the Africa Day for Food and Nutrition Security (ADFNS) and the Comprehensive Africa Agriculture Development Programme (CAADP) Partnership Platform event in Zambia. The primary focus of the session was to explore practical strategies for operationalizing the Learning Alliance to achieve meaningful impact.

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 integration of AI in agricultural management presents a world of opportunities and challenges. We have explored various aspects, from addressing inadequate information and limited capabilities to bridging the digital divide and concerns about job displacement. As we navigate this transformative journey, it is essential to prioritize the user, embrace human-centered design, and ensure that AI-powered solutions are not only feasible but also sustainable for farmers in diverse regions.

Climate change poses significant challenges to livestock systems worldwide, requiring urgent and innovative responses to ensure the resilience of these systems and the livelihoods that depend on them. This report presents the water, fodder, bush-fire and transhumance corridor monitoring system as well as the livestock climate information information dissemination in the pastoral zones of Senegal.

This study investigates the effect of married couples’ joint decision-making on rice variety selection on rice productivity—a measure of food security. The study uses the 2016 Rice Monitoring Survey and the endogenous switching regression (ESR) method. Results show that rice farms with joint decision-makers (husband and wife) would have higher yields, particularly in households that adopted MRVGen1 (before 1986) rice varieties. Thus, families with joint-decision making have higher food security.

In many countries in Southern and Eastern Africa, input subsidy programmes are common, often focussing on inorganic fertiliser. These programmes often do not achieve their food security objectives, partly because soil health is in decline as a result of years of application of inorganic fertilisers in the absence of other soil ameliorative measures.

Food system transformation is intrinsically tied to effective land and water resource management, especially in the regions facing competition among various land uses. The AhafoAno Southwest District in Ghana exemplifies this complexity, with agriculture, mining, and agroforestry practices competing against one another for arable land, impacting the local food system and contributing to water resource degradation.

This paper presents a temperature-based early warning alert system for fish farmers in Zambia. The decision support tool indicating the conditions under which air temperatures may result in a normal, high risk or emergency scenario, combined with the monitoring and management mitigations recommended under each scenario. During model development, five models were compared, including linear regression, stochastic regression, deep learning, random forest, and decision tree.

Bangladesh’s water management shifted toward a decentralized system in the 1990s, with more power to community, including the water management groups (WMGs). Empirical evidence, however, suggests unequal access to water among women and marginalized populations. To zoom into this, we reviewed studies published after 2000 to synthesize evidence on access to water among women and marginalized people, their recognition and representation in institutions, and barriers to those, in Bangladesh.

In an ever-evolving landscape of regulations and commitments to net-zero emission commodity chains, Terra-i+ offers a satellite-based solution for agroforestry supply chain sustainability management. At its core, Terra-i+ functions as an integrated platform to access critical information about the sustainability status of coffee supply chains. With Terra-i+, stakeholders gain access to essential metrics and insights, empowering them to make informed decisions that drive adoption of sustainable practices.

The aim of this course is to develop skills in soil carbon (SC) estimation and Soil Carbon Sequestration (SCS) methods/techniques to reduce GHG emissions for sustainable crop production systems.