Development of a weather-based predictive system for optimizing cassava and cocoa crops yields for farmers in Ondo state

Agriculture is a very crucial sector in the Nigerian economy, it provides food and income to millions of residents. However, the increasing unpredictability of climate regimes which is a direct effect of anthropogenic climate change has a highly negative impact on the total agricultural output in terms of crop yield. This paper aims at creating a predictive model based on weather, which maximizes the productivity of cassava and cocoa in Ondo State, Nigeria. Kaggle repository data on temporal cro