A broad scope of crop models with varying demands on data inputs is being used for several
purposes, such as possible adaptation strategies to control climate change impacts on future …

There is a growing effort to use access to remote sensing data (RS) in conjunction with crop
model simulation capability to improve the accuracy of crop growth and yield estimates. This …

Crop simulation models are widely used as research tools to explore the impact of various
technologies and compliment field experimentation. Machine learning (ML) approaches …

Climate change is expected to have a major effect on crop production in sub‐Saharan
Africa. Crop models can help to guide crop management under future climate. The objective …

Potato has been recognized as a crop of importance in developing countries for ensuring
human nutrition and food security. The dwindling natural resources, low fertility of soils, the …

Managing production risks under high rainfall variability remains a research priority in
Southern Africa. In this region, conservation agriculture (CA) has been promoted as useful …

Crop models are useful tools to evaluate the effects of agricultural management on
ecosystem services. However, before they can be applied with confidence, it is important to …

Recommendations and decisions of crop management in sub-Saharan Africa (SSA) are
often based on traditional field experimentation. This usually ignores the variability of …

Long-term, reliable, continuous and real-time weather and climatic data are essential for
efficient management and sustainable use of natural resources. This paper describes the …

Problem definition: We study the optimal seeding policy under rainfall uncertainty in rain-fed
agriculture and explore its advantage over commonly used heuristics in practice …