Machine Learning-based Property Valuation using Remote Sensing and Geospatial Data in Kigali, Rwanda

Using machine learning to value property in Kigali, Rwanda

A Machine Learning Based Enhanced Property Valuation Framework for Volatile Markets

Zimbabwe’s real estate sector is plagued by valuation inaccuracies due to hyperinflation, informal t

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

Data Sheet 1_Mapping soil salinity using machine learning and remote sensing data in semi-arid croplands.docx

Soil salinity significantly constrains agricultural productivity and land sustainability, particu

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

Using machine learning algorithms to analyze remote sensing and ground-truth Lake Chad’s level data

Abstract. Lake Chad is facing critical environmental situations since the 1960s due to the effects o