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Year | Number of Results |
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2014 | 2 |
2020 | 1 |
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Page 1
Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery.
J Environ Qual. 2023 Jul-Aug;52(4):907-921. doi: 10.1002/jeq2.20493. Epub 2023 May 26.
J Environ Qual. 2023.
PMID: 37170699
Mapping of Agricultural Subsurface Drainage Systems Using Unmanned Aerial Vehicle Imagery and Ground Penetrating Radar.
Koganti T, Ghane E, Martinez LR, Iversen BV, Allred BJ.
Koganti T, et al. Among authors: allred bj.
Sensors (Basel). 2021 Apr 15;21(8):2800. doi: 10.3390/s21082800.
Sensors (Basel). 2021.
PMID: 33921184
Free PMC article.
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Mapping of Agricultural Subsurface Drainage Systems Using a Frequency-Domain Ground Penetrating Radar and Evaluating Its Performance Using a Single-Frequency Multi-Receiver Electromagnetic Induction Instrument.
Koganti T, Van De Vijver E, Allred BJ, Greve MH, Ringgaard J, Iversen BV.
Koganti T, et al. Among authors: allred bj.
Sensors (Basel). 2020 Jul 14;20(14):3922. doi: 10.3390/s20143922.
Sensors (Basel). 2020.
PMID: 32674514
Free PMC article.
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Laboratory comparison of four iron-based filter materials for water treatment of trace element contaminants.
Allred BJ, Tost BC.
Allred BJ, et al.
Water Environ Res. 2014 Nov;86(11):2221-32. doi: 10.2175/106143014x14062131178556.
Water Environ Res. 2014.
PMID: 25509527
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Laboratory comparison of four iron-based filter materials for drainage water phosphate treatment.
Allred BJ, Racharaks R.
Allred BJ, et al.
Water Environ Res. 2014 Sep;86(9):852-62. doi: 10.2175/106143014x13975035525942.
Water Environ Res. 2014.
PMID: 25327026
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