Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images

Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images

Monitoring fruit growth is useful when estimating final yields in advance and predicting optimum harvest times. However, observing fruit all day at the farm via RGB images is not an easy task because the light conditions are constantly changing. In this paper, we present CROP (Central Roundish Objec...

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Bibliographic Details
Main Authors: Motohisa Fukuda, Takashi Okuno, Shinya Yuki
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
deep learning
U-Net
image segmentation
central object
fruit
pear
Online Access:https://www.mdpi.com/1424-8220/21/21/6999

Internet

https://www.mdpi.com/1424-8220/21/21/6999

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