AgriTalk: IoT for precision soil farming of turmeric cultivation

Wen-Liang Chen, Yi-Bing Lin*, Yun-Wei Lin, Robert Chen, Jyun Kai Liao, Fung Ling Ng, Yuan Yao Chan, You Cheng Liu, Chin Cheng Wang, Cheng Hsun Chiu, Tai Hsiang Yen

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    48 Scopus citations

    Abstract

    This paper proposes AgriTalk, an inexpensive Internet of Things (IoT) platform for precision farming of soil cultivation. We conduct experiments on turmeric cultivation, which indicates that the turmeric quality is significantly enhanced through AgriTalk. Specifically, the curcumin concentration is up to 4500-5500 mg/100 g, which is five times more than existing products. We demonstrate how to intuitively configure the connections between the sensors and the actuators with the desired farming intelligence, and to effectively maintain AgriTalk for precision farming. We conduct measurement, analytic analysis, and simulation experiments to investigate the IoT message delays of AgriTalk. This paper indicates that the delays for automatic control and automatic-manual control switching with long distances (more than 30 km) are very short (less than 0.2 s) and AgriTalk can easily respond to quick and dynamic change of the field environment conditions in soil cultivation.

    Original languageEnglish
    Article number8641389
    Pages (from-to)5209-5223
    Number of pages15
    JournalIEEE Internet of Things Journal
    Volume6
    Issue number3
    DOIs
    StatePublished - 1 Jun 2019

    Keywords

    • Artificial intelligence
    • Internet of Things (IoT)
    • Precision farming
    • Soil cultivation
    • Turmeric

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