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dc.contributor.authorPaweena Suebsombuten_US
dc.contributor.authorPradorn Sureephongen_US
dc.contributor.authorAicha Sekharien_US
dc.contributor.authorSuepphong Chernbumroongen_US
dc.contributor.authorAbdelaziz Bourasen_US
dc.description.abstractA chatbot is a software developed to help reply to text or voice conversations automatically and quickly in real time. In the agriculture sector, the existing smart agriculture systems just use data from sensing and internet of things (IoT) technologies that exclude crop cultivation knowledge to support decision-making by farmers. To enhance this, the chatbot application can be an assistant to farmers to provide crop cultivation knowledge. Consequently, we propose the LINE chatbot application as an information and knowledge representation providing crop cultivation recommendations to farmers. It works with smart agriculture and recommendation systems. Our proposed LINE chatbot application consists of five main functions (start/stop menu, main page, drip irri gation page, mist irrigation page, and monitor page). Farmers will receive information for data monitoring to support their decision-making. Moreover, they can control the irrigation system via the LINE chatbot. Furthermore, farmers can ask questions relevant to the crop environment via a chat box. After implementing our proposed chatbot, farmers are very satisfied with the application, scoring a 96% satisfaction score. However, in terms of asking questions via chat box, this LINE chatbot application is a rule-based bot or script bot. Farmers have to type in the correct keywords as prescribed, otherwise they won't get a response from the chatbots. In the future, we will enhance the asking function of our LINE chatbot to be an intelligent bot.en_US
dc.subjectArts and Humanitiesen_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.titleChatbot Application to Support Smart Agriculture in Thailanden_US
dc.typeConference Proceedingen_US
article.title.sourcetitle7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022en_US Universityen_USé Lumière Lyon 2en_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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