John McCulloch
John McCulloch
Research Engineer, Data61 CSIRO
Verified email at csiro.au
TitleCited byYear
Wireless sensor network deployment for water use efficiency in irrigation
J McCulloch, P McCarthy, SM Guru, W Peng, D Hugo, A Terhorst
Proceedings of the workshop on Real-world wireless sensor networks, 46-50, 2008
912008
The Tasmanian marine analysis network (TasMAN)
GP Timms, JW McCulloch, P McCarthy, B Howell, PA De Souza, ...
OCEANS 2009-EUROPE, 1-6, 2009
192009
Benthic habitat mapping with autonomous underwater vehicles
A Davie, K Hartmann, G Timms, M de Groot, J McCulloch
OCEANS 2008, 1-9, 2008
152008
Aquaculture sentinels: smart-farming with biosensor equipped stock
SJ Andrewartha, NG Elliott, JW McCulloch, PB Frappell
Journal of Aquaculture Research & Development 7 (1), 1-4, 2015
122015
State space models for forecasting water quality variables: an application in aquaculture prawn farming
JJ Dabrowski, A Rahman, A George, S Arnold, J McCulloch
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
102018
Ensemble feature ranking for shellfish farm closure cause identification
A Rahman, C D'Este, J McCulloch
Proceedings of Workshop on Machine Learning for Sensory Data Analysis, 13, 2013
92013
Predicting shellfish farm closures using time series classification for aquaculture decision support
MS Shahriar, A Rahman, J McCulloch
Computers and Electronics in Agriculture 102, 85-97, 2014
82014
An algorithm for the automatic analysis of signals from an oyster heart rate sensor
AD Hellicar, A Rahman, DV Smith, G Smith, J McCulloch, S Andrewartha, ...
IEEE Sensors Journal 15 (8), 4480-4487, 2015
72015
Avoiding marine vehicles with passive acoustics
C D'Este, B Seton, J McCulloch, D Smith, C Sharman
Journal of Field Robotics 32 (1), 152-166, 2015
52015
Development of a cross discipline, experiential based, flexible delivery unit
J Sargison, F Bullen, J McCulloch
International Conference on Engineering Education, 1-4, 2002
52002
Time-series prediction of shellfish farm closure: A comparison of alternatives
A Rahman, MS Shahriar, C D’Este, G Smith, J McCulloch, G Timms
Information Processing in Agriculture 1 (1), 42-50, 2014
42014
A neural network and som based approach to analyse periodic signals: application to oyster heart-rate data
AD Hellicar, A Rahman, D Smith, G Smith, J McCulloch
2014 International Joint Conference on Neural Networks (IJCNN), 2211-2217, 2014
42014
Analysis of heavy metals in marine sediment using a portable X-ray fluorescence spectrometer onboard an Autonomous Underwater Vehicle
J Breen, P de Souza, G Timms, J McCulloch, R Ollington
2012 Oceans-Yeosu, 1-5, 2012
32012
Developing multi-discipline design skills in undergraduates
F Bullen, J Sargison, J McCulloch
age 9, 1, 2004
32004
Prediction with uncertainty: a novel framework for analyzing sensor data streams
A Rahman, J McCulloch, Q Mamun
IEEE Sensors Journal 15 (1), 382-386, 2014
22014
A low-cost, long-life, drifting sensor for environmental monitoring of rivers and estuaries
C D'Este, M Barnes, C Sharman, J McCulloch
2012 Oceans-Yeosu, 1-6, 2012
22012
Dissolved oxygen prediction in prawn ponds from a group of one step predictors
A Rahman, J Dabrowski, J McCulloch
Information Processing in Agriculture, 2019
12019
Future Agriculture Farm Management using Augmented Reality
M Xi, M Adcock, J McCulloch
2018 IEEE Workshop on Augmented and Virtual Realities for Good (VAR4Good), 1-3, 2018
12018
Real time visualisation of sensor data for an autonomous underwater vehicle via a Wi-Fi buoy
J Breen, J McCulloch
2012 Oceans-Yeosu, 1-3, 2012
12012
Development and implementation of a cross-discipline, flexible delivery unit
J Sargison, F Bullen, J McCulloch
Engineering Education for a Sustainable Future: Proceedings of the 14th …, 2003
12003
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Articles 1–20