Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin

•Aerial imagery datasets from Africa is used to develop ML models to classify banana.•Random forest based ML model classifies banana with more than 90% accuracy.•Deep learning based mixed-model pipeline for banana disease detection is developed.•AI-Powered disease surveillance system for Africa is discussed.