G. Zulkadir

Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis

Background: Accurate estimation of seedling vigor indices (SVI) is critical for monitoring plant health and predicting yields in precision agriculture. This study comparatively evaluates the performance of different machine learning algorithms in estimating the SVI parameter. Methods: Germination data were collected fr...