Impact of dimensionality reduction on machine learning-based crop health prediction
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 for classification (fungal disease occurrence)...