Fabián G. Fernández

According to our database, Fabián G. Fernández authored at least 6 papers between 2019 and 2022.

Collaborative distances:

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

2022

The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize.

Tyler J. Nigon, Gabriel Dias Paiao, David J. Mulla, Fabián G. Fernández, Ce Yang

Remote. Sens., 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

2021

Corn Nitrogen Status Diagnosis with an Innovative Multi-Parameter Crop Circle Phenom Sensing System.

Cadan Cummings, Yuxin Miao, Gabriel Dias Paiao, Shujiang Kang, Fabián G. Fernández

Remote. Sens., 2021

Estimation of corn yield based on hyperspectral imagery and convolutional neural network.

Wei Yang, Tyler J. Nigon, Ziyuan Hao, Gabriel Dias Paiao, Fabián G. Fernández, David J. Mulla, Ce Yang

Comput. Electron. Agric., 2021

2020

Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery.

Tyler J. Nigon, Ce Yang, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight, Fabián G. Fernández

Remote. Sens., 2020

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