Associate Professor James Brinkhoff
Associate Professor - Applied Agricultural Remote Sensing Centre; Faculty of Science, Agriculture, Business and Law; School of Science and Technology
Biography
James received a PhD in electronic device modelling from Macquarie University in 2005. He then worked on an ARC linkage project, designing circuits for millimeter-wave communications. Among other subsequent positions, James worked with Broadcom for 5 years, designing radio frequency circuits for WiFi chips, some of which were used in Apple smartphones. In 2015, James moved into agriculture research, particularly focusing on wireless sensor networks and remote sensing for irrigation optimisation at Deakin University. He joined AARSC at UNE in 2019, where he is engaged in applied analytics of agricultural data from field measurements, satellites, and in-field sensors using statistical and machine learning methods. James is actively involved in a number of research projects including yield forecasting for macadamia growers, real-time analytics for rice industry applications such as fertiliser recommendations, water estimation and growth stage detection.
Qualifications
PhD in Electronics (Macquarie University, 2005)
Primary Research Area/s
Remote Sensing; Land cover classification; Agricultural sensor systemsResearch Interests
Research Projects
“Agronomy and remote sensing to maximise rice water productivity” 2022-2024
"Improving mid-season Nitrogen management for rice", Agrifutures and DPI, 2018-2021
"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
Publications
Brinkhoff, James, Backhouse, Gillian, Saunders, Manu E., Bower, Deborah S., and Hunter, John T.. 2022. “ Remote Sensing to Characterize Inundation and Vegetation Dynamics of Upland Lagoons.” Ecosphere 13( 1): e3906. https://doi.org/10.1002/ecs2.3906
Brinkhoff, James, Brian W. Dunn, and Andrew J. Robson. "Rice nitrogen status detection using commercial-scale imagery." International Journal of Applied Earth Observation and Geoinformation 105 (2021): 102627. https://doi.org/10.1016/j.jag.2021.102627
Brinkhoff, James, et al. "Olive Tree Water Stress Detection Using Daily Multispectral Imagery." 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021. https://doi.org/10.1109/IGARSS47720.2021.9553729
Torgbor, Benjamin Adjah, et al. "Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in Ghana." Horticulturae 8.1 (2022): 11. https://doi.org/10.3390/horticulturae8010011
Brinkhoff, J., Robson, A.J., Block-level macadamia yield forecasting using spatio-temporal datasets, Agricultural and Forest Meteorology, Volume 303, 2021.
Ballester, C., Hornbuckle, J., Brinkhoff, J., & Quayle, W. C. (2021). Effects of three frequencies of irrigation and nitrogen rates on lint yield, nitrogen use efficiency and fibre quality of cotton under furrow irrigation. Agricultural Water Management, 248, 106783.
Brinkhoff, J.; Dunn B.W.; Hart, J.; Dunn, T., Impact of UAV Time-of-Flight on Rice Nitrogen Uptake Models, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020.
Brinkhoff, J.; Robson, A.J. Macadamia Orchard Planting Year and Area Estimation at a National Scale. Remote Sens. 2020, 12, 2245. https://www.mdpi.com/2072-4292/12/14/2245
Dunn, B. W., Dunn, T. S., Mitchell, J. H., & Brinkhoff, J. (2020). Effects of plant population and row spacing on grain yield of aerial-sown and drill-sown rice. Crop and Pasture Science, 71(3), 219-228. https://www.publish.csiro.au/CP/CP19421
Brinkhoff, J., Vardanega, J., & Robson, A. J. (2020). Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and-2 Data. Remote Sensing, 12(1), 96. https://www.mdpi.com/2072-4292/12/1/96
Brinkhoff, J., Hornbuckle, J., & Lurbe, C. B. (2019). Soil moisture forecasting for irrigation recommendation. IFAC-PapersOnLine, 52(30), 385-390. https://www.sciencedirect.com/science/article/pii/S2405896319325078
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/2072-4292/9/11/1149
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), https://ieeexplore.ieee.org/document/4682654.
Brinkhoff, J., & Parker, A. E. (2003). Effect of baseband impedance on FET intermodulation. IEEE Transactions on Microwave Theory and Techniques, 51(3), 1045-1051.
Consultancy Interests
Wireless sensor networks, remote sensing for agricultural applications, land cover classification
