Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations. - Curtis J. Ransom; Newell R. Kitchen; James J. Camberato; Paul R. Carter; Richard B. Ferguson; Fabián G. Fernández; David W. Franzen; Carrie A. M. Laboski; D. Brenton Myers; Emerson D. Nafziger; John E. Sawyer; John F. Shanahan (Comput. Electron. Agric., 2019)

Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning. - Dan Li; Yuxin Miao; Curtis J. Ransom; Gregory Mac Bean; Newell R. Kitchen; Fabián G. Fernández; John E. Sawyer; James J. Camberato; Paul R. Carter; Richard B. Ferguson; David W. Franzen; Carrie A. M. Laboski; et al. (Remote. Sens., 2022)