Climate change is projected to cause an increase in average temperatures in Zambia and a decline in rainfall, particularly in the southern and western regions. The country experiences high rainfall variability, which climate change is expected to exacerbate, resulting in likely higher frequency and intensity of already reoccurring extreme weather events, such as droughts and floods.

Substantial model variability exists regarding the likely meteorological impact of climate change on Kenya, particularly with respect to future precipitation levels. Significant regional differences are expected, largely due to Kenya’s diverse climate profile. Overall, temperatures are projected to increase while future precipitation levels are highly uncertain. Climate change is expected to significantly affect coastal areas, including because of sea level rise risks, stronger winds, and an overall warmer and drier climate.

Mozambique is already vulnerable to extreme weather events and climate change is projected to exacerbate their frequency and intensity. The occurrence of cyclones and flooding has increased in recent years and the trend is expected to continue. The country’s coast—where 60 percent of the population, the three biggest cities, and critical infrastructure are situated—is most exposed to climate change-related risks, including damage from cyclones and projected sea level rise.

• Agriculture in Africa has untapped potential to meet regional and global food demands, but it faces
challenges like fragmentation, inefficient value chains, and climate shocks. Transforming food systems will
come at a cost.
• There is an opportunity to harness business acceleration as a catalyst for private sector financing food
systems transformation, and a powerful scaling mechanism for climate-smart agriculture (CSA).
• Science and research have a role to play in business acceleration to support the adoption and

Crop varietal and breeding lines selection is predominantly performed in controlled research stations, which may not properly represent African farmers’ crop growing environmental conditions. To address this, the project seeks to test the bean breeding lines in real farmers’ bean farming environments by implementing genomics-assisted on-farm testing using the tricot approach across a wide range of bean-growing environments.

In the realm of agricultural advancement, the intersection of technology and farming practices has been a cornerstone for enhancing productivity and sustainability. As global food demands continue to rise, innovative solutions are crucial for maximizing agricultural outputs. This report focuses on one such innovative frontier: the application of artificial intelligence (AI) in agriculture, specifically in predicting seed yield. The focal point of our exploration is the automated counting of seeds in forages using DL algorithms.

This document was put together with the aim of providing best management practices (BMPs) to small and
medium-sized hatcheries producing African catfish (Clarias gariepinus) fingerlings or juveniles. Adhering
to these practices will not only increase efficiency and profit for farmers but will also minimize losses and
key negative environmental and social impacts of African catfish hatcheries.

urum wheat (Triticum turgidum subsp. durum) is the oldest and most cultivated cereal crop in Middle East and
North Africa (MENA) region and under Mediterranean climatic conditions. Morocco is one of the largest pro ducer of durum wheat in MENA region, cultivated in more than 1 million ha area produced 2.5 million tons in
2020, which accounts for 17% of the total production in the region. In the region, rainfed production system is

The current consensus within livestock production systems is directed toward more sustainable and environmentally friendly methods and practices. Silvopastoral systems offer a significant opportunity by integrating tree growth with pasture systems to provide shelter, enhance livestock feeding and welfare, improve soil characteristics, and can be profitable for producers. These systems typically exhibit a sparse distribution of trees, and a consistent and reliable monitoring process is essential for their management.

This study generates evidence to understand the impact of agribusiness empowerment programmes on youth livelihoods in developing countries based on the ENABLE-TAAT programme implemented in Kenya, Nigeria, and Uganda. A multistage sampling technique was used in obtaining primary agribusiness-level data from a sample of 1435 young agripreneurs from the study countries. An Endogenous Treatment Effect Regression (ETER) model was used to assess the impact of programme participation on youth livelihoods (income and food security).