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E-AGRO: Intelligent Chat-Bot. IoT and Artificial Intelligence to Enhance Farming Industry

Author

Listed:
  • Jayalath Ekanayake
  • Luckshitha Saputhanthri

Abstract

This study develops a chat room and a Chat–Bot to discuss the prevailing issues related to farming with peers and expertise and support farmers to make timely decision on farming. A standard set of questions was identified through discussions and surveys with farmers, expertise and other stakeholders. Intents, which the users might want to know, and examples, which the users use to explain a specific intent and entities that are different objects referring to an intent were identified from the questions. Artificial Intelligence Markup Language (AIML) was used to train a model, which predicts an intent based on the given example. The Chat-Bot was implemented in a cloud platform and therefore, the client end does not require more computational resources.

Suggested Citation

  • Jayalath Ekanayake & Luckshitha Saputhanthri, 2020. "E-AGRO: Intelligent Chat-Bot. IoT and Artificial Intelligence to Enhance Farming Industry," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(1), March.
    • Handle: RePEc:ags:aolpei:303931
    DOI: 10.22004/ag.econ.303931
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    File URL: https://ageconsearch.umn.edu/record/303931/files/441_agris-on-line-2020-1-ekanayake-saputhanthri.pdf
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    References listed on IDEAS

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    1. Carter, Isabel, 1999. "Locally Generated Printed Materials in Agriculture: Experience from Uganda and Ghana," Education Research Papers 12845, Department for International Development (DFID) (UK).
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    Cited by:

    1. Herrera, Kevin & Miranda, Juan & Mauricio, David, 2022. "Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.

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