Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression. - Alper Adak; Seth C. Murray; Sofija Bozinovic; Regan Lindsey; Shakirah Nakasagga; Sumantra Chatterjee; Steven L. Anderson; Scott Wilde (Remote. Sens., 2021)

Assessing the effect of soil to water ratios and sampling strategies on the prediction of EC and pH using pXRF and Vis-NIR spectra. - Gafur Gozukara; Sevda Altunbas; Orhan Dengiz; Alper Adak (Comput. Electron. Agric., 2022)

A computational framework for modeling and predicting maize senescence: integrating UAV phenotyping, logistic growth, and genomics. - Alper Adak; Aaron J. Desalvio; Seth C. Murray (Comput. Electron. Agric., 2025)