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Brett Whelan
Brett Whelan
A/Prof in Precision Agriculture, University of Sydney
sydney.edu.auÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
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Future directions of precision agriculture
A McBratney, B Whelan, T Ancev, J Bouma
Precision agriculture 6, 7-23, 2005
11732005
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
A Chlingaryan, S Sukkarieh, B Whelan
Computers and electronics in agriculture 151, 61-69, 2018
11102018
The ¡°null hypothesis¡± of precision agriculture management
BM Whelan, AB McBratney
Precision Agriculture 2, 265-279, 2000
3152000
Establishing management classes for broadacre agricultural production
JA Taylor, AB McBratney, BM Whelan
Agronomy Journal 99 (5), 1366-1376, 2007
2312007
VESPER version 1.62
B Minasny, AB McBratney, BM Whelan
Australian Centre for Precision Agriculture, McMillan Building A 5, 2005
2012005
An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning
P Filippi, EJ Jones, NS Wimalathunge, PDSN Somarathna, LE Pozza, ...
Precision Agriculture 20, 1015-1029, 2019
1832019
Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors
JP Underwood, C Hung, B Whelan, S Sukkarieh
Computers and electronics in agriculture 130, 83-96, 2016
1672016
Precision agriculture for grain production systems
B Whelan, J Taylor
Csiro publishing, 2013
1542013
Vesper 1.5–spatial prediction software for precision agriculture
BM Whelan, AB McBratney, B Minasny
Precision Agriculture, Proc. 6th Int. Conf. on Precision Agriculture, ASA ¡¦, 2002
1412002
Comparing temperature correction models for soil electrical conductivity measurement
R Ma, A McBratney, B Whelan, B Minasny, M Short
Precision Agriculture 12, 55-66, 2011
1392011
Vesper version 1.62. Australian centre for precision agriculture, Mcmillan building A05, The University of Sydney
B Minasny, AB McBratney, BM Whelan
Nsw, 2006
1392006
A preliminary approach to assessing the opportunity for site-specific crop management in a field, using yield monitor data
MJ Pringle, AB McBratney, BM Whelan, JA Taylor
Agricultural Systems 76 (1), 273-292, 2003
1322003
Definition and interpretation of potential management zones in Australia
BM Whelan, AB McBratney
Proceedings of the 11th Australian Agronomy Conference, Geelong, Victoria, 2-6, 2003
1002003
Obtaining ¡®useful¡¯high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys
AB McBratney, B Minasny, BM Whelan
Precision agriculture ¡®05, 503-510, 2005
842005
Measuring the quality of digital soil maps using information criteria
TFA Bishop, AB McBratney, BM Whelan
Geoderma 103 (1-2), 95-111, 2001
712001
The impact of precision agriculture
BM Whelan, AB McBratney, BC Boydell
Proceedings of the ABARE Outlook Conference,¡®The Future of Cropping in NW ¡¦, 1997
641997
Sampling strategy is important for producing weed maps: a case study using kriging
RD Cousens, RW Brown, AB McBratney, B Whelan, M Moerkerk
Weed science 50 (4), 542-546, 2002
632002
Spatial prediction for precision agriculture
BM Whelan, AB McBratney, RA Viscarra Rossel
Proceedings of the third international conference on precision agriculture ¡¦, 1996
631996
Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation
AK Mortensen, A Bender, B Whelan, MM Barbour, S Sukkarieh, H Karstoft, ...
Computers and Electronics in Agriculture 154, 373-381, 2018
612018
A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica
A Bender, B Whelan, S Sukkarieh
Journal of Field Robotics 37 (1), 73-96, 2020
562020
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