Chatbot Application to Support Smart Agriculture in Thailand
Paweena Suebsombut (DISP, CMU), Pradorn Sureephong (CMU), Aicha, Sekhari (DISP), Suepphong Chernbumroong (CMU), Abdelaziz Bouras

TL;DR
This paper presents a LINE chatbot designed to assist Thai farmers by providing crop cultivation advice, monitoring data, and irrigation control, significantly improving farmer satisfaction in smart agriculture.
Contribution
It introduces a novel chatbot application integrating smart agriculture data with knowledge-based support for farmers in Thailand.
Findings
Farmers scored 96% satisfaction with the chatbot.
The chatbot effectively provides crop advice and irrigation control.
Current chatbot is rule-based, requiring correct keyword input.
Abstract
A 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…
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Taxonomy
MethodsLarge-scale Information Network Embedding
