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- CHONG Vui Kiong
- Okayama University
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- MONTA Mitsuji
- Okayama University
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- NINOMIYA Kazunori
- S.I. Seiko CO., Ltd.
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- KONDO Naoshi
- Ehime University
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- NAMBA Kazuhiko
- Okayama University
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- NISHI Takao
- D add ninth Co., Ltd.
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- GOTO Tanjuro
- Okayama University
Description
Precision Farming practices that required GIS and GPS system are too costly and impractical for small-scale farm. However, site-specific management is still necessary as it contribute in reducing the operation cost and also over usage of pesticides chemicals. A new approach in generating yield and quality map for small scale farm using mobile grading robot has been carried out. A prototype mobile eggplant grading robot was constructed and field test was done. The mobile robot consists of a battery railcar with the grading unit trailer hauled behind. Eggplant fruits were harvested manually and passed to the grading robot. Features information of the eggplant was taken simultaneously with the harvesting location information to create field variability map. Observations found that the constructed prototype robot was capable of accumulating the field variability information during the field test.
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2007 (0), _1A1-G03_1-_1A1-G03_4, 2007
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001205934575872
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- NII Article ID
- 110008694947
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- ISSN
- 24243124
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed