The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 1A1-A01
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A Trial of Tulip Disease Detection by Camera Images
Naoki KANAMORI
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Abstract

Tulip bulbs are the main production item of flowers in Toyama Prefecture, and are also prefectural flowers. Among the tulip bulb production processes, the disease detection and extraction processes rely on visual inspection by skilled farmers and are not mechanized. Therefore, we tried to detect disease using images of growing tulips in order to contribute to the mechanization of this process. It was found that higher discrimination accuracy could be obtained by creating discriminators for each age of the tulips.

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© 2020 The Japan Society of Mechanical Engineers
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