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How to effectively and efficiently identify your pest with digital diagnosis

How to effectively and efficiently identify your pest with digital diagnosis. Dr. Mary Burrows Associate Professor, MSU Extension Plant Pathology Specialist. Outline. Introduction to the Schutter Diagnostic Laboratory and sample submission Images Digital Microscopes Apps.

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How to effectively and efficiently identify your pest with digital diagnosis

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  1. How to effectively and efficiently identify your pest with digital diagnosis Dr. Mary Burrows Associate Professor, MSU Extension Plant Pathology Specialist

  2. Outline • Introduction to the Schutter Diagnostic Laboratory and sample submission • Images • Digital Microscopes • Apps

  3. Diagnostic lab: routine functions and agricultural biosecurity • Process approximately 2000 samples/yr (~50% homeowner/horticulture) • Free to you • Sample submission is important • Good sample = good answer • Diagnostics.montana.edu • Donate! • http://msuaf.org/give-schutter_lab • 800-457-1696 • Solicitation Code AG14CAGPS

  4. Diagnostic lab staff are friendly and helpful uce

  5. Good sample + Good information = Good diagnosis (or…garbage in, garbage out….) In our code: “insufficent sample”

  6. http://diagnostics.montana.edu

  7. Disease Form • Print out form • Fill out questionnaire with as much detail as possible • Place form in box with sample • Take to County Agent – If Possible

  8. Packaging and Shipping Keep soil on roots –not on foliage

  9. Include photographs illustrating the problem and field patterns if possible.

  10. Tips for taking photos with your device • Don’t use the zoom. Step up or back away from the subject • Lots of light, but no shine (reflection) • Shade subject if that’s helpful • Allow the camera to focus before snapping the picture • If you’re looking a subject on multiple planes, adjust the subject if you’re having trouble focusing or provide a background • Some cameras have a macro feature

  11. Apps to help with photos • Camera Plus to adjust light exposure • ProCapture for panoramas on android • ShakeIt and Hipstamatic for iPhone filters

  12. The good

  13. The good

  14. The good

  15. The good

  16. The good

  17. The good

  18. The good

  19. The bad

  20. The ugly

  21. The ugly

  22. The ugly

  23. The ugly

  24. Digital microscopes • Demos • Hook to computer or bluetooth to phone • Many options, many prices

  25. Photography stand, $10 • http://petapixel.com/2013/10/19/turn-smartphone-microscope-macro-photography-rig-10/

  26. General tips • Photos should be IN FOCUS and provide some information, just like a normal sample • Google for more specific advice • The specialist will also tell you if it’s not good enough!

  27. Apps/websites for digital diagnosis • Purdue ‘Plant Doctor’ • Tree; Perennial Flower; Annual Flower; Shrub Doctor(s) • NPIPM Soybean Guide • A number of plant ID Apps (EDDMaps West, ID Weeds, XID) • APHIS-PPQ has a number of LUCID keys for identification • http://www.cabi.org/ISC/default.aspx?site=144&page=3489 • http://www.lucidcentral.org/Keys173/SearchforaKey/tabid/217/Default.aspx

  28. Websites for digital diagnosis • Wiki.bugwood.org/HPIPM • High Plains IPM Guide: LUCID keys • Woody ornamentals • Wheat • iWheat (in progress)

  29. Incomplete tool

  30. The danger with apps and websites • INCORRECT or Misleading information and pest identifications • Question what the source of the information is • Public or Private • Location

  31. Other useful apps for disease management • Spray Calibration Apps • SoilsWeb (soil type where you are standing, from USDA) • Agrian and CDMS (pesticide labels) • Montana Landowners/Parcels (Cadastral data) http://geoinfo.montanastatelibrary.org/data/msdi/cadastral/

  32. Keeping informed on pest issues • Montana Ag Alerts (www.mtagalert.org) (urban-only alerts also available) • NDSU Crop and Pest Report (http://www.ag.ndsu.edu/cpr/) • Pacific Northwest and Treasure Valley Pest Alert Network (http://tvpestalert.net/) • Rust listserve (Mark Hughes, UMN) • Stripe rust only : contact Xianming Chen, WSU • Wheat disease listserve (Erick DeWolf, KSU)

  33. Questions?

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