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Agriculture 2017, 7(8), 69; doi:10.3390/agriculture7080069

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

1
Schulich School of Education, Nipissing University, North Bay, ON P1B8L7, Canada
2
Department of Computer Science and Mathematics, Nipissing University, North Bay, ON P1B8L7, Canada
3
Department of Geography, Nipissing University, North Bay, ON P1B8L7, Canada
*
Author to whom correspondence should be addressed.
Received: 9 June 2017 / Revised: 2 August 2017 / Accepted: 2 August 2017 / Published: 8 August 2017
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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. View Full-Text
Keywords: GIS technology; precision agriculture; web-based access; weather; weather station; decision support GIS technology; precision agriculture; web-based access; weather; weather station; decision support
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jarvis, D.H.; Wachowiak, M.P.; Walters, D.F.; Kovacs, J.M. Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System. Agriculture 2017, 7, 69.

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