Deep learning models have been widely used in various applications, such as image and
speech recognition, natural language processing, and recently, in the field of drought …

This chapter examines climate change impacts and local adaptation options among rural
farmers in southwestern Nigeria. Satellite climate datasets for rainfall and temperature from …

Abstract Crops in Sub-Saharan African countries are generally more vulnerable to climate
change with considerable impacts on yields. In this study, the impacts of climate change on …

Aquifer natural recharge estimations are a prerequisite for understanding hydrologic
systems and sustainable water resources management. As meteorological data series …

ABSTRACT Crops in Sub-Saharan African countries are generally more vulnerable to
climate change with considerable impacts on yields. In this study, the impacts of climate …

Climate variability/change has varied impacts on crop yields in many Sub-Saharan African
countries. Enhancing the adaptive capacity of rural farmers is a major challenge as climate …

Climate change is considered the greatest challenge to agricultural productivity in Africa,
with a projected change of about 8% in the average yield of all crops by 2050 (Clay and …