This was a passion project of mine that aimed to combine science and conventional machine learning tools to create a visual representation of how a pest species distribution can spread due to the effects of climate change.
The target species for this project was Spodoptera frugiperda - the fall armyworm.
The fall armyworm is a Lepidopteran pest that feeds on many food crop species. This species have been responsible for losses totalling more than $9 billion per year in Africa alone.
The project was divided into four large parts: data collection, modelling, analysis and visualization. Leaflet maps were created for predictions in 2040, 2070 and 2100 for SSP126, SSP370 and SSP585 climate scenarios.
To complete this project, I made use of the following software, programs and libaries:
Python
HTML
CSS
JavaScript
Bootstrap
D3
Leaflet
Git & GitHub
R
SciKit Learn
QGIS