Richard B. Ferguson

According to our database, Richard B. Ferguson authored at least 4 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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, Emerson D. Nafziger, John F. Shanahan

Remote. Sens., 2022

2019

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

2017

Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).

Xiaojun Liu, Richard B. Ferguson, Hengbiao Zheng, Qiang Cao, Yongchao Tian, Weixing Cao, Yan Zhu

Sensors, 2017

2013

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