Publications
Peer-reviewed work, preprints and manuscripts in progress, most recent first. Where an open-access version exists it is linked directly; where it does not, ask me and I will send the accepted manuscript.
-
The impact of socio-economic data on deep learning crop yield prediction in Cameroon
In preparation. A controlled nested-dataset experiment isolating the marginal contribution of satellite, climate and socio-economic data across six deep learning architectures.
-
Deep learning for crop monitoring: a systematic review
Mbalkam et al. (2025). A PRISMA systematic review of 87 studies across 10 deep learning architecture families applied to crop monitoring.
Talks and presentations
Indabax Deep Learning conference, 2023