A Simple Algorithm for Oncidium Orchid Cut Flower Grading with Deep Learning

Author:

Tsai Yin Te,Wu Hsing Cheng,Zhu Shao Ming

Publisher

Springer International Publishing

Reference8 articles.

1. Baweja, H.S., Parhar, T., Mirbod, O., Nuske, S.: StalkNet: a deep learning pipeline for high-throughput measurement of plant stalk count and stalk width. In: Hutter, M., Siegwart, R. (eds.) Field and Service Robotics, pp. 271–284. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67361-5

2. Gürel, C., Zadeh, M.H.G., Erden, A.: Rose stem branch point detection and cutting point location for rose harvesting robot. In: The 17th International Conference on Machine Design and Production, UMTIK 2016 (2016a)

3. Gürel, C., Zadeh, M.H.G., Erden, A.: Development and implementation of rose stem tracing using a stereo vision camera system for rose harvesting robot. In: 8th International Conference on Image Processing, Wavelet and Applications (IWW 2016) (2016b)

4. Hsi, Y.-L., Lee, F.-F.: Oncidium cut flower grading with machine vision. J. Agric. Mach. 10(1), 17–30 (2001)

5. Liu, X., et al.: Robust fruit counting: combining deep learning, tracking, and structure from motion. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1045–1052 (2018)

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1. A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model;Advances in Intelligent Systems and Computing;2020-08-20

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