Brian D. Luck

According to our database, Brian D. Luck authored at least 8 papers between 2018 and 2022.

Collaborative distances:

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

2022

Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images.

Luwei Feng, Zhou Zhang, Yuchi Ma, Yazhou Sun, Qingyun Du, Parker Williams, Jessica L. Drewry, Brian D. Luck

IEEE Geosci. Remote. Sens. Lett., 2022

Assessing kernel processing score of harvested corn silage in real-time using image analysis and machine learning.

Eduardo M. C. Rocha, Jessica L. Drewry, Rebecca M. Willett, Brian D. Luck

Comput. Electron. Agric., 2022

2021

Utility of a commercial unmanned aerial vehicle for in-field localization of biomass bales.

Hasan Seyyedhasani, Matthew Digman, Brian D. Luck

Comput. Electron. Agric., 2021

2020

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning.

Luwei Feng, Zhou Zhang, Yuchi Ma, Qingyun Du, Parker Williams, Jessica L. Drewry, Brian D. Luck

Remote. Sens., 2020

In-field machine vision system for identifying corn kernel losses.

Nolan S. Monhollen, Kevin J. Shinners, Joshua C. Friede, Eduardo M. C. Rocha, Brian D. Luck

Comput. Electron. Agric., 2020

2019

Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin.

Jessica L. Drewry, John M. Shutske, David Trechter, Brian D. Luck, Lynn Pitman

Comput. Electron. Agric., 2019

Predicting kernel processing score of harvested and processed corn silage via image processing techniques.

Jessica L. Drewry, Brian D. Luck, Rebecca M. Willett, Eduardo M. C. Rocha, Joshua D. Harmon

Comput. Electron. Agric., 2019

2018

Computational model of methane and ammonia emissions from dairy barns: Development and validation.

Jessica L. Drewry, Christopher Y. Choi, J. Mark Powell, Brian D. Luck

Comput. Electron. Agric., 2018