Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels. - M. Schlemmer; Anatoly A. Gitelson; J. Schepers; Richard B. Ferguson; Y. Peng; John F. Shanahan; Donald Rundquist (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China). - Xiaojun Liu 003; Richard B. Ferguson; Hengbiao Zheng; Qiang Cao 002; Yongchao Tian; Weixing Cao; Yan Zhu 005 (Sensors, 2017)

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)