Project

Variability in maize yield and response to fertiliser in Ghana

The project aims to model and conduct spatial and temporal analyses of maize yield variability and variance, as well as heterogeneity in yield response to fertiliser in Ghana.

Maize is the most important cereal in Ghana. Researcher and Government encourage farmer to apply fertilizer in order to increase the yield. However, the application of fertilizer in Ghana, not always translate into constant yield increase. Then, the variability in maize grain yield in Ghana when fertiliser is applied discourage farmer to buy and apply fertilizer in the coming season.

The project aims to study the variability of maize yields, identify its sources, and explain the reasons behind it. The methodology will involve using several machine learning model and crop process-based models.