John McCulloch
John McCulloch
Research Engineer, Data61 CSIRO
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Cited by
Cited by
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
Aquaculture sentinels: smart-farming with biosensor equipped stock
SJ Andrewartha, NG Elliott, JW McCulloch, PB Frappell
J. Aquac. Res. Dev 7, 1-4, 2015
Dissolved oxygen prediction in prawn ponds from a group of one step predictors
A Rahman, J Dabrowski, J McCulloch
Information Processing in Agriculture 7 (2), 307-317, 2020
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
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
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
Benthic habitat mapping with autonomous underwater vehicles
A Davie, K Hartmann, G Timms, M de Groot, J McCulloch
OCEANS 2008, 1-9, 2008
Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds
M Rana, A Rahman, J Dabrowski, S Arnold, J McCulloch, B Pais
Biosystems Engineering 208, 164-175, 2021
The tasmanian marine analysis network (TasMAN)
GP Timms, JW McCulloch, P McCarthy, B Howell, PA De Souza, ...
OCEANS 2009-EUROPE, 1-6, 2009
An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management
A Rahman, M Xi, JJ Dabrowski, J McCulloch, S Arnold, M Rana, A George, ...
Aquacultural Engineering 95, 102192, 2021
An end-to-end augmented reality solution to support aquaculture farmers with data collection, storage, and analysis
M Xi, M Adcock, J Mcculloch
Proceedings of the 17th International Conference on Virtual-Reality …, 2019
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, 13-18, 2013
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
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
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
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
Smart headset, computer vision and machine learning for efficient prawn farm management
M Xi, A Rahman, C Nguyen, S Arnold, J McCulloch
Aquacultural Engineering 102, 102339, 2023
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
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
Developing multi-discipline design skills in undergraduates
F Bullen, J Sargison, J McCulloch
Proceedings of the 2004 ASEE Annual Conference, Salt Lake City, Utah, 2004
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