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| Presentation | 2017-01-19 14:15 Knowledge expression of low potassium vegetables cultivation in the plant factory Yuji Omori, Yukikazu Murakami (NITKC)  ICM2016-42 LOIS2016-51 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Low potassium vegetables are functional vegetables for potassium with intake restrictions including the kidney disease, and added value is high.However, it is difficult to find know-how of the low potassium vegetables cultivation by the agriculture that I depended on intuition and experience for.Therefore, in this study, I plan knowledge expression of the low potassium vegetables cultivation by ICT techniques such as sensing or the AI.Specifically, I learn a neural network using output data and training data set to do by the component potassium quantity data of the plant body as input data by environmental data provided from the sensor which I installed in a plant factory, ingredient density of the liquid fertilizer.Using the neural network that has been learned, I examine technique to estimate quantity of component potassium of the plant body from new input data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | knowledge expression / quantity of component potassium / neural network / agriculture / reaf lettuce / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 405, LOIS2016-51, pp. 19-23, Jan. 2017. | |
| Paper # | LOIS2016-51 | |
| Date of Issue | 2017-01-12 (ICM, LOIS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ICM2016-42 LOIS2016-51 |
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| Conference Information | |
| Committee | ICM LOIS |
| Conference Date | 2017-01-19 - 2017-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Nagasaki Chamber of Commerce & Industry |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Practical Use of Lifelog, Office Information System, Business Management, etc. |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2017-01-ICM-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Knowledge expression of low potassium vegetables cultivation in the plant factory |
| Sub Title (in English) | |
| Keyword(1) | knowledge expression |
| Keyword(2) | quantity of component potassium |
| Keyword(3) | neural network |
| Keyword(4) | agriculture |
| Keyword(5) | reaf lettuce |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuji Omori |
| 1st Author's Affiliation | National Institute of Technology, Kagawa College (NITKC) |
| 2nd Author's Name | Yukikazu Murakami |
| 2nd Author's Affiliation | National Institute of Technology, Kagawa College (NITKC) |
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| Speaker | Author-1 |
| Date Time | 2017-01-19 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | LOIS |
| Paper # | ICM2016-42, LOIS2016-51 |
| Volume (vol) | vol.116 |
| Number (no) | no.404(ICM), no.405(LOIS) |
| Page | pp.19-23 |
| #Pages | 5 |
| Date of Issue | 2017-01-12 (ICM, LOIS) |
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