Brett Whelan
Brett Whelan
A/Prof in Precision Agriculture, University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Future directions of precision agriculture
A McBratney, B Whelan, T Ancev, J Bouma
Precision agriculture 6 (1), 7-23, 2005
8462005
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
2962018
The “null hypothesis” of precision agriculture management
BM Whelan, AB McBratney
Precision Agriculture 2 (3), 265-279, 2000
2512000
Establishing management classes for broadacre agricultural production
JA Taylor, AB McBratney, BM Whelan
Agronomy Journal 99 (5), 1366-1376, 2007
1912007
VESPER version 1.62
B Minasny, AB McBratney, BM Whelan
Australian Centre for Precision Agriculture, McMillan Building A 5, 2005
1562005
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
1182002
Vesper version 1.62. Australian centre for precision agriculture, Mcmillan building A05, The University of Sydney
B Minasny, AB McBratney, BM Whelan
Nsw, 2006
1142006
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
1122003
Precision agriculture for grain production systems
B Whelan, J Taylor
Csiro publishing, 2013
932013
Comparing temperature correction models for soil electrical conductivity measurement
R Ma, A McBratney, B Whelan, B Minasny, M Short
Precision Agriculture 12 (1), 55-66, 2011
932011
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
802016
Definition and interpretation of potential management zones in Australia
BM Whelan, AB McBratney
Proceedings of the 11th Australian Agronomy Conference, Geelong, Victoria, 2003
762003
Obtaining ‘useful’high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys
AB McBratney, B Minasny, BM Whelan
Precision agriculture 5, 503-510, 2005
632005
Measuring the quality of digital soil maps using information criteria
TFA Bishop, AB McBratney, BM Whelan
Geoderma 103 (1-2), 95-111, 2001
632001
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
552002
Spatial prediction for precision agriculture
BM Whelan, AB McBratney, RA Viscarra Rossel
Proceedings of the Third International Conference on Precision Agriculture …, 1996
541996
Does kriging predict weed distributions accurately enough for site‐specific weed control?
LJ Rew, B Whelan, AB McBratney
Weed Research 41 (3), 245-263, 2001
442001
Determining potential within-field crop management zones
J Cupitt, BM Whelan
Proceedings of the 3rd European conference on precision agriculture, 7-12, 2001
442001
VESPER version 1.0
B Minasny, AB McBratney, BM Whelan
Australian Centre for Precision Agriculture, The University of Sydney …, 1999
441999
Variability and uncertainty in spatial, temporal and spatiotemporal crop-yield and related data
AB McBratney, BM Whelan, TM Shatar
Ciba Foundation Symposium, 141-160, 1997
441997
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