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ORCIDMatthew Digman
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- affiliation: University of Wisconsin-Madison, Madison, WI, USA
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Journal Articles
- 2024
[j11]Matthew F. Digman
, Jerry H. Cherney, Debbie J. R. Cherney:
Harvest Timing of Standing Corn Using Near-Infrared Reflectance Spectroscopy. Sensors 24(5): 1397 (2024)- [j10]William Yamada, Jerry H. Cherney, Debbie J. R. Cherney, Troy Runge, Matthew Digman:
Handheld Near-Infrared Spectroscopy for Undried Forage Quality Estimation. Sensors 24(16): 5136 (2024) - 2023
- [j9]Xiaoyu Feng, Jerry H. Cherney, Debbie J. R. Cherney, Matthew F. Digman:
Practical Considerations for Using the NeoSpectra-Scanner Handheld Near-Infrared Reflectance Spectrometer to Predict the Nutritive Value of Undried Ensiled Forage. Sensors 23(4): 1750 (2023) - 2022
- [j8]Matthew F. Digman, W. M. Runge:
The utility of a near-infrared spectrometer to predict the maturity of green peas (Pisum sativum). Comput. Electron. Agric. 193: 106643 (2022) - [j7]Xiaoyu Feng, Rebecca A. Larson, Matthew F. Digman:
Evaluation of Near-Infrared Reflectance and Transflectance Sensing System for Predicting Manure Nutrients. Remote. Sens. 14(4): 963 (2022) - [j6]Matthew F. Digman, Jerry H. Cherney, Debbie J. R. Cherney:
The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near-Infrared Reflectance Spectrometer in Predicting Forage Nutritive Value. Sensors 22(2): 658 (2022) - [j5]Xiaoyu Feng, Rebecca A. Larson, Matthew F. Digman:
Evaluating the Feasibility of a Low-Field Nuclear Magnetic Resonance (NMR) Sensor for Manure Nutrient Prediction. Sensors 22(7): 2438 (2022) - 2021
- [j4]Hasan Seyyedhasani, Matthew Digman, Brian D. Luck:
Utility of a commercial unmanned aerial vehicle for in-field localization of biomass bales. Comput. Electron. Agric. 180: 105898 (2021) - [j3]Jerry H. Cherney, Matthew F. Digman, Debbie J. R. Cherney:
Handheld NIRS for forage evaluation. Comput. Electron. Agric. 190: 106469 (2021) - [j2]Wei Zhao, William Yamada, Tianxin Li, Matthew Digman, Troy Runge:
Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning - A Case Study of Bale Detection. Remote. Sens. 13(1): 23 (2021) - [j1]William Yamada, Wei Zhao, Matthew Digman:
Automated Bale Mapping Using Machine Learning and Photogrammetry. Remote. Sens. 13(22): 4675 (2021)
Coauthor Index
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