Dr. Tiebiao Zhao Profile

Dr. Tiebiao Zhao

at Univ of California Merced

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Author

Publications (5)

Proceedings Article | 21 April 2020 Paper

A low-cost proximate sensing method for early detection of nematodes in walnut using Walabot and scikit-learn classification algorithms

Haoyu Niu, Tiebiao Zhao, Andreas Westphal, YangQuan Chen

Proceedings Volume 11414, 114140K (2020) https://doi.org/10.1117/12.2558214

KEYWORDS: Neural networks, Sensors, Data modeling, Unmanned aerial vehicles, Reflectivity, Detection and tracking algorithms, Agriculture, Performance modeling, Data processing, Antennas

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Proceedings Article | 23 October 2018 Paper

Comparing U-Net convolutional network with mask R-CNN in the performances of pomegranate tree canopy segmentation

Tiebiao Zhao, Yonghuan Yang, Haoyu Niu, Dong Wang, YangQuan Chen

Proceedings Volume 10780, 107801J (2018) https://doi.org/10.1117/12.2325570

KEYWORDS: Image segmentation, Agriculture, Image resolution, Cameras, Unmanned aerial vehicles, Image classification

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Proceedings Article | 23 October 2018 Paper

Onion irrigation treatment inference using a low-cost hyperspectral scanner

Tiebiao Zhao, Alexander Koumis, Haoyu Niu, Dong Wang, YangQuan Chen

Proceedings Volume 10780, 107800D (2018) https://doi.org/10.1117/12.2325500

KEYWORDS: Principal component analysis, Scanners, Spectroscopy, Cameras, Sensors, Agriculture, Calibration, Remote sensing, Light sources

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Proceedings Article | 21 May 2018 Presentation + Paper

A detailed study on accuracy of uncooled thermal cameras by exploring the data collection workflow

Tiebiao Zhao, Haoyu Niu, Andreas Anderson, YangQuan Chen, Joshua Viers

Proceedings Volume 10664, 106640F (2018) https://doi.org/10.1117/12.2305217

KEYWORDS: Cameras, Calibration, Thermal effects, Thermography, Unmanned aerial vehicles, Temperature metrology, Agriculture, Infrared imaging, Foam, Fluctuations and noise

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Proceedings Article | 16 May 2017 Presentation + Paper

Melon yield prediction using small unmanned aerial vehicles

Tiebiao Zhao, Zhongdao Wang, Qi Yang, YangQuan Chen

Proceedings Volume 10218, 1021808 (2017) https://doi.org/10.1117/12.2262412

KEYWORDS: Convolutional neural networks, Neural networks, Sensors, Unmanned aerial vehicles, Cameras, Imaging systems, Image resolution, Image analysis

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