Trabajo 1 de la semana 5

Trabajo semana 5

trabajo de la quinta semana

Trabajo 1 de la semana 5

Trabajo de 1 de la clases semana

Trabajo #1 de la clase de la semana #5

Trabajo de Valorizaciòn S5

Project Framework

In today’s Satellite Data for Agricultural Economists session, we built spatial machine learning models using Tessera geospatial embeddings to map tea plantations in Kenya. Participants learned to download embeddings in Google Colab, prepare training data, train single- and multi-method ensemble models in R with sdm, create binary presence/absence maps, and calculate total tea area, showing how embeddings improve crop segmentation over traditional spectral bands.