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Brett Whelan
Brett Whelan
A/Prof in Precision Agriculture, University of Sydney
Geverifieerd e-mailadres voor sydney.edu.au - Homepage
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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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Artikelen 1–20