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Understanding Farmers’ Expectations and Experiences in Using Sensor Technologies

Published: 19 April 2023 Publication History

Abstract

Sensor-enabled tracking technologies have been applied in farming systems to enhance the efficiency by documenting detailed information about farms and making predictions. However, less is known about how farmers make sense of the tracked data and act upon them. Investigating how some Taiwanese farmers respond to a system that monitors those data, this study found that farmers need historical data as well as real-time ones from multiple sources and that it could be challenging for them to make sense of the data to the point that they want to outsource part of their decision-making to the system.

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    cover image ACM Conferences
    CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
    April 2023
    3914 pages
    ISBN:9781450394222
    DOI:10.1145/3544549
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 19 April 2023

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    Author Tags

    1. knowledge transfer
    2. prototype
    3. smart farming
    4. user experience

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