As part of the AICCRA, the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) are tasked to develop curricula and training materials to accelerate the mainstreaming of Climate Information Services (CIS) and Climate- Smart Agriculture (CSA) into University’s curricula in Africa.
As part of the AICCRA, the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) are tasked to develop curricula and training materials to accelerate the mainstreaming of Climate Information Services (CIS) and Climate- Smart Agriculture (CSA) into University’s curricula in Africa.
This study documented existing knowledge on traditional fruits, vegetables and pulses in Kenya and Ethiopia. The aim was to identify neglected and underutilized species with high potential for food security, for their economic value and contribution to sustainable agriculture, based on a literature review and confirmation of existing data by local experts.
Climate change is a key driver of the spread of pests and diseases that affect food production in West and Central Africa. Science-policy linkages are essential for developing effective pests and disease management systems that can minimize agricultural losses to pests in Africa.
Scaling up Gender and Nutrition Sensitive (GNS) Climate-Smart Agriculture (CSA) technologies and Climate Information Services (CIS) is essential to reducing gender inequalities and empowering women in agriculture and food systems in West Africa.
Women are less represented in agricultural research and development sector representing only 25% of agricultural scientists in Africa in the last decade, and a much lower proportion of decision makers on agriculture and climate change at institutional, national, and global levels.
The world is facing a number of challenges such as climate change, diminishing soil quality and stagnant crop yields, which call for scalable solutions to ensure food security for a growing population. In this paper, we explore the role of data science in modern agriculture, highlighting the importance of big data analytics, geospatial technology, and machine learning.
Accelerating the scaling of climate-smart agriculture (CSA) requires institutional innovations and interactions among stakeholders operating across scales.
It is widely acknowledged that climate smart agricultural (CSA) practices prioritization is influenced by subjectivity and relies heavily on the expertise and exposure of the experts. The objective of this paper is to enhance the precision and objectivity of prioritizing CSA practices by leveraging a combination of research findings and expert knowledge.
Covering 41% of Earth's land, drylands are home to nearly 2 billion people relying on forests, rangelands, and agrosilvopastoral systems for survival. These areas provide crucial environmental services, supporting biodiversity, preventing erosion, averting land degradation, enhancing water infiltration, and boosting soil fertility.
This report aims to explore the intersection of gender and social inclusion, with a focus on the challenges and opportunities faced by women and youth in the agribusiness sector. It examines the ways in which gender norms and stereotypes shape social inclusion, and how exclusionary practices can perpetuate gender-based inequalities.
This chapter advances the state-of-the-art understanding of tipping cascades across scales and systems between Earth system and social tipping points. We consider a tipping cascade to occur when extremes or passing of a tipping point in one system triggers or increases the likelihood of reaching a tipping point in another.