Publication: Developing Smart Farm and Traceability System for Agricultural Products using IoT Technology
dc.contributor.author | Konlakorn Wongpatikaseree | en_US |
dc.contributor.author | Promprasit Kanka | en_US |
dc.contributor.author | Arunee Ratikan | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | Sirindhorn International Institute of Technology, Thammasat University | en_US |
dc.date.accessioned | 2019-08-23T10:54:20Z | |
dc.date.available | 2019-08-23T10:54:20Z | |
dc.date.issued | 2018-09-14 | en_US |
dc.description.abstract | © 2018 IEEE. In the past, most farmers have taken care of their products by relying on basic observation and general knowledge. The quality of agricultural products depends on the farmer's skill and experience. Therefore, transferring knowledge of planting techniques from one generation to another is not an easy task. In recent years, the smart farm concept has been introduced. However, most current smart farming focuses on monitoring, without utilising the observed data in other ways. Therefore, the aim of this research is to propose a traceability system, summarising and presenting observed data from the smart farm. The Internet of Things (IoT) has been introduced in this research, using several sensors to detect the environmental data in the smart farm. The entire data from the results was computed and presented using a traceability system. Customers are provided with more information support, especially concerning the quality of the planting process, before buying an agricultural product by scanning a quick response (QR) code through a mobile application. This gives the customer greater confidence in the product. | en_US |
dc.identifier.citation | Proceedings - 17th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2018. (2018), 180-184 | en_US |
dc.identifier.doi | 10.1109/ICIS.2018.8466479 | en_US |
dc.identifier.other | 2-s2.0-85055710728 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/45562 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055710728&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.title | Developing Smart Farm and Traceability System for Agricultural Products using IoT Technology | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055710728&origin=inward | en_US |