The paper aim and novelty is the development of technology-based tools able of providing realistic insights on farmers’ future adaptation decisions by developing an ML algorithm to predict Climate-Smart Agriculture (CSA) practices and highlight mo

Agricultural technology remains under-adopted among smallholder farmers in sub-Saharan Africa. We investigate how the (perceived) quality of an agricultural input affects its adoption by means of two interventions.

Uganda experienced annual economic growth of 5.8 percent between 2009 and 2019 (UBOS 2020).

Agricultural extension and advisory services is a system that facilitates access of farmers or their organizations to new knowledge, information and technologies and promotes interaction with research, education, agri‐business, and other relevant

Process skills and core competencies are basic sets of knowledge, skills, abilities, and behaviors that agricultural extension professionals require to perform their tasks effectively.

To strengthen the agricultural extension curriculum, the present study was undertaken in sub-Saharan Africa covering Nigeria, Malawi, South Africa, Uganda, and Kenya during 2021-2023.

To fully benefit from new agricultural technologies like improved seed varieties, significant investment in complementary inputs such as fertilizers and pesticides, and practices such as systematic planting, irrigation, and weeding are also requir

Agricultural advisory services are generally biased towards men, with information targeted mainly to male members within the household, and in formats that often reinforce male dominance in agricultural decision-making.

Food insecurity remains a serious challenge for many households in Africa and the situation is even more prevalent among young people. However, there is a dearth of empirical evidence on youth food security status in Africa.

In low- and middle-income countries, poor cooperation between members of smallholder agricultural households may lead to inefficient allocation of productive resources.

To gain a better understanding of intrahousehold bargaining processes, surveys increasingly collect data from co-heads individually, especially on decision-making, asset ownership and labour contributions.