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James Brinkhoff

University of New England (Australia)

Armidale

Armidale, ME New South Wales 2351

Australia

SCHOLARLY PAPERS

4

DOWNLOADS

412

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Empirical Correction of Sentinel-2 Time Series Data to Enhance Real-Time Rice Crop Monitoring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, volume 18, 2025[10.1109/JSTARS.2025.3615125]
Number of pages: 19 Posted: 23 Apr 2025 Last Revised: 14 Feb 2026
James Brinkhoff, Rasmus Houborg and Andrew Clark
University of New England (Australia), Planet Labs PBC and University of New England (Australia)
Downloads 140 (524,371)

Abstract:

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Sentinel-2, satellite imagery calibration, rice crop monitoring, precision agriculture, remote sensing time-series analysis

2.

Data Requirements for Forecasting Tree Crop Yield - A Macadamia Case Study

European Conference on Precision Agriculture, (Forthcoming)
Number of pages: 8 Posted: 22 May 2023
University of New England (Australia), Macadamias Australia, University of New England (Australia) and University of New England (Australia)
Downloads 117 (608,822)
Citation 1

Abstract:

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macadamia, yield forecasting, tree crops, remote sensing, machine learning

3.

Rice Yield Analysis and Forecasting Using Phenology-Based Time-Series Features

Number of pages: 41 Posted: 31 Oct 2023
James Brinkhoff, Allister Clarke, Brian W. Dunn and Mark Groat
University of New England (Australia), Charles Sturt University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 103 (674,591)

Abstract:

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rice, phenology, Yield prediction, Shapley values, machine learning, time series analysis

4.

Deep Learning Improves Planting Year Estimation of Macadamia Orchards in Australia

Number of pages: 39 Posted: 18 Apr 2025
Andrew Clark, James Brinkhoff, Andrew Robson and Craig Shephard
University of New England (Australia), University of New England (Australia), University of New England (Australia) and University of New England (Australia)
Downloads 52 (1,041,696)

Abstract:

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macadamia, planting year, Deep Learning, Machine learning