Mahoukpégo Luc Zinzinhédo

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction

Accurate crop yield prediction is essential for agricultural planning, yet machine learning (ML) models remain highly sensitive to the quality and structure of input data. This study uses simulated datasets to systematically investigate how data structure (sample size and number of predictors), data imperfections (miss...