In-field fuel use and load states of agricultural field machinery. - Santosh K. Pitla; Joe D. Luck; Jared Werner; Nannan Lin; Scott A. Shearer (Comput. Electron. Agric., 2016)

An overview of current and potential applications of thermal remote sensing in precision agriculture. - Sami Khanal; John P. Fulton; Scott A. Shearer (Comput. Electron. Agric., 2017)

Integrating aerial images for in-season nitrogen management in a corn field. - Sami Khanal; John P. Fulton; Nathan Douridas; Andrew Klopfenstein; Scott A. Shearer (Comput. Electron. Agric., 2018)

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield. - Sami Khanal; John P. Fulton; Andrew Klopfenstein; Nathan Douridas; Scott A. Shearer (Comput. Electron. Agric., 2018)

Remote Sensing in Agriculture - Accomplishments, Limitations, and Opportunities. - Sami Khanal; Kushal KC; John P. Fulton; Scott A. Shearer; Erdal Ozkan (Remote. Sens., 2020)

Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses. - Logan Frank; Christopher Wiegman; Jim Davis; Scott A. Shearer (WACV, 2021)

HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. - Nawras Alnaasan; Matthew Lieber; Aamir Shafi; Hari Subramoni; Scott A. Shearer; Dhabaleswar K. Panda 001 (IEEE Big Data, 2023)

Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision. - Lucas Waltz; Sushma Katari; Chaeun Hong; Adit Anup; Julian Colbert; Anirudh Potlapally; Taylor Dill; Canaan Porter; John Engle; Christopher Stewart; Hari Subramoni; Scott A. Shearer; et al. (Frontiers Artif. Intell., 2024)