Geospatial Data Analysis and Visualization for Crop Disease Surveillance, Sub-Suharan Africa. Poster presented at the Deep Learning Indaba 2022 by Gloria Namanya
Despite efforts by the WHO to support local surveillance strategies in developing countries
This project leverages artificial intelligence and geospatial data to understand and predict pattern
The increasing demand for innovative strategies in sustainable food production—driven by rapid globa
Introduce the goal of the analysis, e.g., "In this notebook, we analyze COVID-19 data for countries
Data processing for irregular and small field crop type classification especially for African smallh