Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning

Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia

In many developing nations, a lack of poverty data prevents critical humanitarian organizations from

Flood Risk Prediction Using Remote Sensing and Machine Learning — Tana River, Kenya

This project implements an end-to-end flood prediction pipeline for Tana River County, Keny

Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data

Predicting Potato Diseases in Smallholder Agricultural Areas of Nigeria Using Machine Learning and Remote Sensing-Based Climate Data

Crop disease management is crucial for sustainable food production. Although farmers in Nigeria cont

Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia

Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa, where

Landslide Susceptibility Mapping in Nigeria Using Remote Sensing, GIS, and Machine Learning Models

Landslide situations remain a significant concern in Nigeria, as they pose a great risk to human liv