Automation of Field Monitoring of Blueberry Flower Buds and Fruit by Using Object-Detection AI

Author:

Matsuoka Kazuki1,Takasugi Sho2,Okamoto Hiroshi3

Affiliation:

1. Graduate School of Agriculture, Hokkaido University

2. School of Agriculture, Hokkaido University

3. Research Faculty of Agriculture, Hokkaido University

Publisher

Japanese Society of Agricultural Informatics

Reference16 articles.

1. Arrington, M. and L. W. DeVetter (2018) Increasing honey bee hive densities promotes pollination and yield components of highbush blueberry in western washington, Hortscience, 53 (2): 191–194.

2. Gonzalez, S., C. Arellano and J. E. Tapia (2019) Deepblueberry: quantification of blueberries in the wild using instance segmentation, IEEE Access, 7: 105776–105788.

3. Google (2023a) Google cloud documentation, 〈https://cloud.google.com/docs/〉, browsed on Sept. 28, 2023.

4. Google (2023b) Google maps platform documentation, 〈https://developers.google.com/maps/documentation/〉, browsed on Sept. 28, 2023.

5. He, K., G. Gkioxari, P. Dollar and R. Girshick (2018) Mask R-CNN, arXiv: 1703.06870v3 [cs.CV] 24 Jan 2018.

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