Wireless adhoc sensor and actuator networks on the farm. - Pavan Sikka; Peter I. Corke; Philip Valencia; Christopher Crossman; Dave Swain; Greg Bishop-Hurley (IPSN, 2006)

Animal Behaviour Understanding using Wireless Sensor Networks. - Ying Guo 001; Peter I. Corke; Geoff Poulton; Tim Wark; Greg Bishop-Hurley; Dave Swain (LCN, 2006)

A model-based routing protocol for a mobile, delay tolerant network. - Tim Wark; Wen Hu 001; Pavan Sikka; Lasse Klingbeil; Peter I. Corke; Christopher Crossman; Greg Bishop-Hurley (SenSys, 2007)

Transforming Agriculture through Pervasive Wireless Sensor Networks. - Tim Wark; Peter I. Corke; Pavan Sikka; Lasse Klingbeil; Ying Guo 001; Christopher Crossman; Philip Valencia; Dave Swain; Greg Bishop-Hurley (IEEE Pervasive Comput., 2007)

A sensor network for compression and streaming of GPS trajectory data. - Tim Wark; Christopher Crossman; Philip Valencia; Peter I. Corke; Greg Bishop-Hurley; Dave Swain (SenSys, 2008)

Sensor and Actuator Networks: Protecting Environmentally Sensitive Areas. - Tim Wark; Dave Swain; Christopher Crossman; Philip Valencia; Greg Bishop-Hurley; Rebecca N. Handcock (IEEE Pervasive Comput., 2009)

Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing. - Rebecca N. Handcock; Dave L. Swain; Greg Bishop-Hurley; Kym P. Patison; Tim Wark; Philip Valencia; Peter Corke; Christopher J. O'Neill (Sensors, 2009)

Energy-efficient localization for virtual fencing. - Raja Jurdak; Peter I. Corke; Dhinesh Dharman; Guillaume Salagnac; Christopher Crossman; Philip Valencia; Greg Bishop-Hurley (IPSN, 2010)

Environmental sensor networks for vegetation, animal and soil sciences. - Andre Zerger; Raphael A. Viscarra Rossel; Dave Swain; Tim Wark; Rebecca N. Handcock; V. A. J. Doerr; Greg Bishop-Hurley; E. D. Doerr; P. G. Gibbons; Craig Lobsey (Int. J. Appl. Earth Obs. Geoinformation, 2010)

An investigation of cow feeding behavior using motion sensors. - Greg Bishop-Hurley; Dave Henry 002; Daniel V. Smith; Ritaban Dutta; James Hills; Richard Rawnsley; Andrew D. Hellicar; Greg P. Timms; Ahsan Morshed; Ashfaqur Rahman; Claire D'Este; Yanfeng Shu (I2MTC, 2014)

Dynamic cattle behavioural classification using supervised ensemble classifiers. - Ritaban Dutta; Daniel V. Smith; Richard Rawnsley; Greg Bishop-Hurley; James Hills; Greg P. Timms; David Henry 002 (Comput. Electron. Agric., 2015)

Behavioral classification of data from collars containing motion sensors in grazing cattle. - Luciano A. González; Greg Bishop-Hurley; Rebecca N. Handcock; Christopher Crossman (Comput. Electron. Agric., 2015)

Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. - Daniel V. Smith; Ritaban Dutta; Andrew D. Hellicar; Greg Bishop-Hurley; Richard Rawnsley; David Henry 002; James Hills; Greg P. Timms (Expert Syst. Appl., 2015)

A comparison of autoencoder and statistical features for cattle behaviour classification. - Ashfaqur Rahman; Daniel V. Smith; James Hills; Greg Bishop-Hurley; David Henry 002; Richard Rawnsley (IJCNN, 2016)

Detecting heat events in dairy cows using accelerometers and unsupervised learning. - Md. Sumon Shahriar; Daniel V. Smith; Ashfaqur Rahman; Mark Freeman 003; James Hills; Richard Rawnsley; David Henry 002; Greg Bishop-Hurley (Comput. Electron. Agric., 2016)

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. - Daniel V. Smith; Ashfaqur Rahman; Greg Bishop-Hurley; James Hills; Md. Sumon Shahriar; David Henry 002; Richard Rawnsley (Comput. Electron. Agric., 2016)

Use of radio frequency identification (RFID) technology to record grazing beef cattle water point use. - Lauren R. Williams; David R. Fox; Greg Bishop-Hurley; Dave L. Swain (Comput. Electron. Agric., 2019)

Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours. - Shuwen Hu; Aaron Ingham; Sabine Schmoelzl; Jody McNally; Bryce Little; Daniel Smith; Greg Bishop-Hurley; You-Gan Wang; Yutao Li (Comput. Electron. Agric., 2020)

A sensor-based solution to monitor grazing cattle drinking behaviour and water intake. - Lauren R. Williams; Steven T. Moore; Greg Bishop-Hurley; Dave L. Swain (Comput. Electron. Agric., 2020)

Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. - Seyedeh Fa'ezeh Hosseini Noorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Greg Bishop-Hurley; Marius Portmann (CoRR, 2020)

Video-based cattle identification and action recognition. - Chuong Nguyen; Dadong Wang; Karl von Richter; Philip Valencia; Flavio A. P. Alvarenga; Gregory Bishop-Hurley (DICTA, 2021)

In-situ classification of cattle behavior using accelerometry data. - Reza Arablouei; Lachlan Currie; Brano Kusy; Aaron Ingham; Paul L. Greenwood; Greg Bishop-Hurley (Comput. Electron. Agric., 2021)

Deep learning-based cattle behaviour classification using joint time-frequency data representation. - Seyedehfaezeh Hosseininoorbin; Siamak Layeghy; Brano Kusy; Raja Jurdak; Greg Bishop-Hurley; Paul L. Greenwood; Marius Portmann (Comput. Electron. Agric., 2021)

Animal Behavior Classification via Deep Learning on Embedded Systems. - Reza Arablouei; Liang Wang; Lachlan Currie; Flavio A. P. Alvarenga; Greg Bishop-Hurley (CoRR, 2021)

Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks. - Liang Wang; Reza Arablouei; Flavio A. P. Alvarenga; Greg Bishop-Hurley (CoRR, 2021)

Multi-modal sensing for behaviour recognition. - Ziwei Wang 003; Jiajun Liu; Reza Arablouei; Greg Bishop-Hurley; Melissa Matthews; Paulo Borges (MobiCom, 2022)

Multi-modal Sensor Data Fusion for In-situ Classification of Animal Behavior Using Accelerometry and GNSS Data. - Reza Arablouei; Ziwei Wang 003; Greg Bishop-Hurley; Jiajun Liu (CoRR, 2022)

In-situ animal behavior classification using knowledge distillation and fixed-point quantization. - Reza Arablouei; Liang Wang; Caitlin Phillips; Lachlan Currie; Jordan Yates; Greg Bishop-Hurley (CoRR, 2022)

Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds. - Ziwei Wang 003; Reza Arablouei; Jiajun Liu; Paulo Borges; Greg Bishop-Hurley; Nicholas Heaney (ICME, 2023)

CVB: A Video Dataset of Cattle Visual Behaviors. - Ali Zia; Renuka Sharma; Reza Arablouei; Greg Bishop-Hurley; Jody McNally; Neil Bagnall; Vivien Rolland; Brano Kusy; Lars Petersson; Aaron Ingham (CoRR, 2023)

Classifying animal behavior from accelerometry data via recurrent neural networks. - Liang Wang; Reza Arablouei; Flavio A. P. Alvarenga; Gregory Bishop-Hurley (Comput. Electron. Agric., 2023)

Animal behavior classification via deep learning on embedded systems. - Reza Arablouei; Liang Wang; Lachlan Currie; Jordan Yates; Flavio A. P. Alvarenga; Gregory Bishop-Hurley (Comput. Electron. Agric., 2023)

Cattle behavior recognition from accelerometer data: Leveraging in-situ cross-device model learning. - Reza Arablouei; Greg Bishop-Hurley; Neil Bagnall; Aaron Ingham (Comput. Electron. Agric., 2024)