Handheld NIRS for forage evaluation. - Jerry H. Cherney; Matthew F. Digman; Debbie J. R. Cherney (Comput. Electron. Agric., 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)

Automated Bale Mapping Using Machine Learning and Photogrammetry. - William Yamada; Wei Zhao; Matthew Digman (Remote. Sens., 2021)

Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning - A Case Study of Bale Detection. - Wei Zhao; William Yamada; Tianxin Li; Matthew Digman; Troy Runge (Remote. Sens., 2021)

The utility of a near-infrared spectrometer to predict the maturity of green peas (Pisum sativum). - Matthew F. Digman; W. M. Runge (Comput. Electron. Agric., 2022)

Evaluation of Near-Infrared Reflectance and Transflectance Sensing System for Predicting Manure Nutrients. - Xiaoyu Feng; Rebecca A. Larson; Matthew F. Digman (Remote. Sens., 2022)

The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage Nutritive Value. - Matthew F. Digman; Jerry H. Cherney; Debbie J. R. Cherney (Sensors, 2022)

Evaluating the Feasibility of a Low-Field Nuclear Magnetic Resonance (NMR) Sensor for Manure Nutrient Prediction. - Xiaoyu Feng; Rebecca A. Larson; Matthew F. Digman (Sensors, 2022)

Practical Considerations for Using the NeoSpectra-Scanner Handheld Near-Infrared Reflectance Spectrometer to Predict the Nutritive Value of Undried Ensiled Forage. - Xiaoyu Feng; Jerry H. Cherney; Debbie J. R. Cherney; Matthew F. Digman (Sensors, 2023)

Harvest Timing of Standing Corn Using Near-Infrared Reflectance Spectroscopy. - Matthew F. Digman; Jerry H. Cherney; Debbie J. R. Cherney (Sensors, 2024)

Handheld Near-Infrared Spectroscopy for Undried Forage Quality Estimation. - William Yamada; Jerry H. Cherney; Debbie J. R. Cherney; Troy Runge; Matthew Digman (Sensors, 2024)

Pre-harvest loss quantification in grain crops. - William Yamada; Jordi Francis; Jack Jewison; Troy Runge; Matthew Digman (Comput. Electron. Agric., 2025)