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ORCIDTyler J. Nigon
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Journal Articles
- 2022
[j5]Tyler J. Nigon
, Gabriel Dias Paiao, David J. Mulla, Fabián G. Fernández, Ce Yang:
The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize. Remote. Sens. 14(1): 132 (2022)- 2021
- [j4]Wei Yang, Tyler J. Nigon, Ziyuan Hao, Gabriel Dias Paiao, Fabián G. Fernández, David J. Mulla, Ce Yang:
Estimation of corn yield based on hyperspectral imagery and convolutional neural network. Comput. Electron. Agric. 184: 106092 (2021) - 2020
- [j3]Tyler J. Nigon, Ce Yang, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight, Fabián G. Fernández:
Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery. Remote. Sens. 12(8): 1234 (2020) - 2019
- [j2]Tyler J. Nigon, Ce Yang, David J. Mulla, Daniel E. Kaiser:
Computing uncertainty in the optimum nitrogen rate using a generalized cost function. Comput. Electron. Agric. 167 (2019) - 2015
- [j1]Tyler J. Nigon, David J. Mulla, Carl J. Rosen, Yafit Cohen, Victor Alchanatis, Joseph F. Knight, Ronit Rud:
Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars. Comput. Electron. Agric. 112: 36-46 (2015)
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