Étienne Lord

Impact of dimensionality reduction on machine learning-based crop health prediction

Abstract Accurately predicting fungal disease dynamics poses a major challenge for data-driven sustainable agriculture. This study evaluates the impact of dimensionality reduction (DR) on the predictive performance of classical machine learning (ML) and deep learning (DL) models...

A CNN-based approach to riparian buffer strip quality monitoring in agricultural areas using satellite imagery

Abstract Vegetated riparian buffers play a critical role in maintaining ecological health and water quality, yet efficient characterization and large-scale monitoring remain challenging due to the resource demands of traditional field campaigns. This study, conducted in an agricu...