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Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

Author

Listed:
  • Daniel H. Jarvis

    (Schulich School of Education, Nipissing University, North Bay, ON P1B8L7, Canada)

  • Mark P. Wachowiak

    (Department of Computer Science and Mathematics, Nipissing University, North Bay, ON P1B8L7, Canada)

  • Dan F. Walters

    (Department of Geography, Nipissing University, North Bay, ON P1B8L7, Canada)

  • John M. Kovacs

    (Department of Geography, Nipissing University, North Bay, ON P1B8L7, Canada)

Abstract

This paper reports on the findings of a multi-site qualitative case study research project designed to document the utility and perceived usefulness of weather station and imagery data associated with the online resource GeoVisage among northeastern Ontario farmers. Interviews were conducted onsite at five participating farms (three dairy, one cash crop, and one public access fruit/vegetable) in 2014–2016, and these conversations were transcribed and returned to participants for member checking. Interview data was then entered into Atlas.ti software for the purpose of qualitative thematic analysis. Fifteen codes emerged from the data and findings center around three overarching themes: common uses of weather station data (e.g., air/soil temperature, rainfall); the use of GeoVisage Imagery data/tools (e.g., acreage calculations, remotely sensed imagery); and future recommendations for the online resource (e.g., communication, secure crop imagery, mobile access). Overall, weather station data and tools freely accessible through the GeoVisage site were viewed as representing a timely, positive, and important addition to contemporary agricultural decision-making in northeastern Ontario farming.

Suggested Citation

  • Daniel H. Jarvis & Mark P. Wachowiak & Dan F. Walters & John M. Kovacs, 2017. "Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System," Agriculture, MDPI, vol. 7(8), pages 1-22, August.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:8:p:69-:d:107498
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    References listed on IDEAS

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    1. Rose, David C. & Sutherland, William J. & Parker, Caroline & Lobley, Matt & Winter, Michael & Morris, Carol & Twining, Susan & Ffoulkes, Charles & Amano, Tatsuya & Dicks, Lynn V., 2016. "Decision support tools for agriculture: Towards effective design and delivery," Agricultural Systems, Elsevier, vol. 149(C), pages 165-174.
    2. Jakku, E. & Thorburn, P.J., 2010. "A conceptual framework for guiding the participatory development of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 103(9), pages 675-682, November.
    3. McCown, R. L. & Hochman, Z. & Carberry, P. S., 2002. "Probing the enigma of the decision support system for farmers: Learning from experience and from theory," Agricultural Systems, Elsevier, vol. 74(1), pages 1-10, October.
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    3. Thomas, Rosemary J. & O'Hare, Gregory & Coyle, David, 2023. "Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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