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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-28 13:50 Knowledge Extraction from Physical and Human Sensors in Smart Agriculture -- Preliminary experiments with planter cultivation data -- Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST)  MSS2021-63 NLP2021-134 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | One of the most promising approaches to increasing agricultural efficiency is the use of the agricultural Internet of Things (IoT). However, existing physical sensors used to monitor various crop-related changes (e.g., changes in leaf color, detection of pests, etc.) are limited and expensive. Therefore, an approach that uses not only physical sensors but also the five human senses, and that uses these senses in a complementary manner, is effective. Therefore, in this study, in a preliminary experiment of planter cultivation, through the collection, accumulation, and analysis of human sensor data (text data, images) and physical sensor data (temperature, humidity, illumination, soil temperature, soil moisture content), knowledge can be extracted and utilized for agricultural Decision-making support for activities. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IoT(Internet of Things) / Smart Voice Messaging System / Agricultural Information Management System / Knowledge Extraction / Awareness / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 443, MSS2021-63, pp. 43-44, March 2022. | |
| Paper # | MSS2021-63 | |
| Date of Issue | 2022-03-21 (MSS, NLP) | |
| ISSN | 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 | MSS2021-63 NLP2021-134 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2022-03-28 - 2022-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Knowledge Extraction from Physical and Human Sensors in Smart Agriculture |
| Sub Title (in English) | Preliminary experiments with planter cultivation data |
| Keyword(1) | IoT(Internet of Things) |
| Keyword(2) | Smart Voice Messaging System |
| Keyword(3) | Agricultural Information Management System |
| Keyword(4) | Knowledge Extraction |
| Keyword(5) | Awareness |
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| Keyword(8) | |
| 1st Author's Name | Kenta Toya |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Moritaro Inoue |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 3rd Author's Name | Naoshi Uchihira |
| 3rd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2022-03-28 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-63, NLP2021-134 |
| Volume (vol) | vol.121 |
| Number (no) | no.443(MSS), no.444(NLP) |
| Page | pp.43-44 |
| #Pages | 2 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
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