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Measurement of Sugar Content by Stationary Strawberry-Harvesting Robot
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- TSUBOTA Shogo
- Institute of Agricultural Machinery(IAM), NARO
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- TESHIMA Tsukasa
- Institute of Agricultural Machinery(IAM), NARO
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- YAMAMOTO Satoshi
- Faculty of Bioresource Sciences, Akita Prefectural University
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- KOBAYASHI Yuichi
- Institute of Agricultural Machinery(IAM), NARO
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- NAKAYAMA Natsuki
- Institute of Agricultural Machinery(IAM), NARO
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- LOAN Nguyen Thi Thanh
- Institute of Agricultural Machinery(IAM), NARO
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- HAYASHI Shigehiko
- Headquarters, NARO
Bibliographic Information
- Other Title
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- 定置型イチゴ収穫ロボットによる糖度計測技術の開発
- テイオキガタ イチゴ シュウカク ロボット ニ ヨル トウド ケイソク ギジュツ ノ カイハツ
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Description
<p>A stationary strawberry harvesting robot integrated with a movable bench system was developed. In the system, it is possible to recognize the movable bench individually by attaching a radio frequency identification (RFID) tag, for example. Therefore, it is believed that proper cultivation management, based on growth information of each movable bench, can lead to stable production of high-quality strawberries. In this study, by focusing on sugar content as one instance of growth information that can affect the quality of the fruit, we developed a system for measuring sugar content by a stationary strawberry-harvesting robot. In this system, to consider the posture of the robot-harvested strawberries that were gripped by the peduncle, the size of the strawberry, and the gradient of the sugar content in the fruit, the distance between the fruit equator and the near- infrared spectrometer is controlled to be constant. Estimation of the fruit posture, the equator part in the fruit, and the distance between the equator and the near-infrared spectrometer is performed by image processing based on a red-green-blue (RGB) image and a depth image captured by a RGB-depth sensor. When the accuracies of the sugar content measured by this system and that by manual measuring were examined and compared, the corresponding root-mean-square errors (RMSEs) were 0.80 Brix % and 0.75 Brix %, respectively, which were comparable.</p>
Journal
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- Shokubutsu Kankyo Kogaku
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Shokubutsu Kankyo Kogaku 31 (1), 31-41, 2019
Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists
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Details 詳細情報について
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- CRID
- 1390001288124575616
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- NII Article ID
- 130007606161
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- NII Book ID
- AA12010914
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- ISSN
- 18803563
- 18802028
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- NDL BIB ID
- 029550207
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- IRDB
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed