Full TGIF Record # 251502
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DOI:10.1094/PHYTO-104-11-S3.139
Web URL(s):http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-104-11-S3.139#page=21
    Last checked: 12/01/2014
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Kaminski, J. E.
Author Affiliation:Penn State, University Park, PA
Title:The Turfpath app: Crowdsourcing the path of turfgrass pests
Section:2014 APS-CPS Joint Meeting abstracts of special session presentations
Other records with the "2014 APS-CPS Joint Meeting abstracts of special session presentations" Section

Professionalism/outreach: What's app?: Using apps and technology in integrated plant disease management programming
Other records with the "Professionalism/outreach: What's app?: Using apps and technology in integrated plant disease management programming" Section
Meeting Info.:Minneapolis, Minnesota: August 9-13, 2014
Source:Phytopathology. Vol. 104, No. 11S, November 2014, p. S3.159.
Publishing Information:Lancaster, Pennsylvania: The Society Intelligencer Printing Company for The American Phytopathological Society
# of Pages:1
Keywords:TIC Keywords: Cellular phone applications; Cellular phones; Conferences; Data loggers; GPS; Social media; Technology; Turfgrass industry trends
Trade Names:Turfpath
Abstract/Contents:"Crowdsourcing data can be an effective way to track information. The increased use of smartphones and various social media platforms make hating information fast and easy. Turfpath is a mobile application designed to track the spread and activity if pests in the Turfgrass industry. Combined with social media platforms like Twitter and Facebook, Turfpath gathers pest updates from turfgrass experts and novices. Users can also share unidentified issues in an effort to solve their pest challenges and provide GPS tracking of active disease, weed and insect pests. Launched in April 2013, Turfpath has over 11,000 downloads and nearly 2 million page views within the app. This seminar will highlight the function of GPS, crowdsourced mobile applications and one of the challenges of their development."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kaminski, J. E. 2014. The Turfpath app: Crowdsourcing the path of turfgrass pests. Phytopathology. 104(11S):p. S3.159.
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DOI: 10.1094/PHYTO-104-11-S3.139
Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-104-11-S3.139#page=21
    Last checked: 12/01/2014
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b2219736a
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