Dr James Brinkhoff
Senior Research Fellow - School of Science and Technology
James received a PhD in electronics from Macquarie University in 2005. He then worked on an ARC linkage project, modeling and designing devices for millimeter-wave communications. Among other subsequent positions, he worked with Broadcom for 5 years, designing radio frequency circuits for WiFi chips, some of which were used in high-end smartphones. In 2015, he moved into agriculture research, particularly focusing on wireless sensor networks and remote sensing for irrigation optimisation at Deakin University. He joined UNE in 2019, where he is engaged in applied analytics of remote sensing data for a number of agricultural projects across multiple industries.
PhD in Electronics (Macquarie University, 2005)
Primary Research Area/sRemote Sensing; Land cover classification; Agricultural sensor systems
"Improving mid-season Nitrogen management for rice", Agrifutures and DPI, 2018-
"Precise real-time automated cotton irrigation for improved water productivity", CRDC and Deakin University, 2018-
"Remote sensing pilot study for Australian peanuts", Peanut Company of Australia, 2019-
"Remote and proximal sensing for Nitrogen mid-row banding in a post-rice crop", GRDC and WMLIG, 2017-2018.
Brinkhoff, J.; Dunn, B.W.; Robson, A.J.; Dunn, T.S.; Dehaan, R.L. Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data. Remote Sens. 2019, 11, 1837. https://www.mdpi.com/2072-4292/11/15/1837
Brinkhoff, J., Hornbuckle, J., & Dowling, T. (2018). Multisensor Capacitance Probes for Simultaneously Monitoring Rice Field Soil-Water-Crop-Ambient Conditions. Sensors, 18(1), 53. https://www.mdpi.com/1424-8220/18/1/53
Brinkhoff, J., Hornbuckle, J., & Barton, J. (2018). Assessment of Aquatic Weed in Irrigation Channels Using UAV and Satellite Imagery. Water, 10(11), 1497. https://www.mdpi.com/2073-4441/10/11/1497
Ballester, C., Hornbuckle, J., Brinkhoff, J., Smith, J., & Quayle, W. (2017). Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery. Remote Sensing, 9(11), 1149. https://www.mdpi.com/2072-4292/11/7/873
Brinkhoff, J., Hornbuckle, J., Quayle, W., Lurbe, C. B., & Dowling, T. (2017, December). WiField, an IEEE 802.11-based agricultural sensor data gathering and logging platform. In Sensing Technology (ICST), 2017 Eleventh International Conference on (pp. 1-6). IEEE. https://drive.google.com/file/d/1Jwc7KL3YzaLZzjN7bJbAn8uYukIteEM-/view?usp=drivesdk
Brinkhoff, J., & Hornbuckle, J. (2017, December). Characterization of WiFi signal range for agricultural WSNs. In Communications (APCC), 2017 23rd Asia-Pacific Conference on (pp. 1-6). IEEE. https://drive.google.com/file/d/1oEHS0NTYGPtMKiVu8RPdYOOhphClFqaM/view?usp=drivesdk
Brinkhoff, J., Pham, D. D., Kang, K., & Lin, F. (2010). A new six-port transformer modeling methodology applied to 10-dBm 60-GHz CMOS ASK modulator designs. IEEE transactions on microwave theory and techniques, 58(2), 297-309.
Brinkhoff, J., Koh, K. S. S., Kang, K., & Lin, F. (2008). Scalable transmission line and inductor models for CMOS millimeter-wave design. IEEE Transactions on Microwave Theory and Techniques, 56(12), 2954-2962.
Brinkhoff, J., & Parker, A. E. (2003). Effect of baseband impedance on FET intermodulation. IEEE Transactions on Microwave Theory and Techniques, 51(3), 1045-1051.
Wireless sensor networks, remote sensing for agricultural applications, land cover classification