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A Redesigned Electronic Insect Trap for Automated Monitoring of Lepidoptera in Orchards  Brian L. Lehman (PSU) Larry A. Hull (PSU) Johnny Park (Purdue University) German Holguin (Purdue University) Teah Smith (Washington State University) Vincent P. Jones (Washington State University) CSFWC - 2010 B. Lehman/L. Hull  - PSU
Prototype Digital  Trap - 2009 CSFWC - 2010 B. Lehman/L. Hull  - PSU
 Moth trapping issues in 2009 Electronic traps had poor capture rates compared to large plastic delta traps. VaponaÂź strips likely had repelling effects. Repelling effect of ultrasonic waves emitted from electronics ruled out. Electronic traps often recorded false capture events. CSFWC - 2010 B. Lehman/L. Hull  - PSU
Schematic interpretation of a bio-impedance based trap (Z-trap) 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU
Z-trap coil design - 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU
Original Z-trap and some modifications -2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU
2010 Z-trap coil designs CSFWC - 2010 B. Lehman/L. Hull  - PSU
Z-trap vs. LPD codling moth capture - 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU LPD bottoms and smaller  funnels added to traps
CSFWC - 2010 B. Lehman/L. Hull  - PSU Z-trap vs. LPD codling moth capture cont.
Z-trap vs. LPD OFM capture 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU LPD bottoms and smaller  funnels added to traps
Z-trap signals - 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU Non-target signal Target insect
Z-trap signals generated by  different target insects CSFWC - 2010 B. Lehman/L. Hull  - PSU OBLR CM OFM
CSFWC - 2010 B. Lehman/L. Hull  - PSU Second generation Infrared trap design - 2010
Capture rates of OFM in IR traps vs. standard LPD – 2010 CSFWC - 2010 B. Lehman/L. Hull  - PSU
IR signals generated by OFM (above) and CM (below) CSFWC - 2010 B. Lehman/L. Hull  - PSU
CSFWC - 2010 B. Lehman/L. Hull  - PSU Funnel experiment to determine  moth escape rates
Percent of moths escaping  CSFWC - 2010 B. Lehman/L. Hull  - PSU * Percent moths escaping out of five moths (cm) and ten moths (ofm) per   day over a four day (cm) and three day (ofm) period.
Trap designed with baffle to prevent moths from escaping CSFWC - 2010 B. Lehman/L. Hull  - PSU Jones and Smith, 2010. WSU – unpublished data
 Future electronic trap plans Redesign Z-trap exterior to increase moth capture rates Design trap with modular components so they can be easily modified for specific insects and/or conditions  Modify IR traps to increase capture rates Possibly incorporate Z-trap and IR trap into one trap design Further analyze electronic signals from different target and non-target species Develop a user interface that works in conjunction with wireless communication and automatically displays trap location,  insect detections for individual traps, and graphs of cumulative insect detection B. Lehman/L. Hull  - PSU
Acknowledgments Comprehensive Automation for Specialty Crops (CASC) Funding for the project from the USDA Specialty Crop Research Initiative to CASC members (below) and the Washington State Tree Fruit Research Commission : Carnegie Mellon University Pennsylvania State University Purdue University Oregon State University Washington State University USDA CSFWC - 2010 B. Lehman/L. Hull  - PSU

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A Redesigned Electronic Insect Trap for Automated Monitoring of Lepidoptera in Orchards

  • 1. A Redesigned Electronic Insect Trap for Automated Monitoring of Lepidoptera in Orchards  Brian L. Lehman (PSU) Larry A. Hull (PSU) Johnny Park (Purdue University) German Holguin (Purdue University) Teah Smith (Washington State University) Vincent P. Jones (Washington State University) CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 2. Prototype Digital Trap - 2009 CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 3. Moth trapping issues in 2009 Electronic traps had poor capture rates compared to large plastic delta traps. VaponaÂź strips likely had repelling effects. Repelling effect of ultrasonic waves emitted from electronics ruled out. Electronic traps often recorded false capture events. CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 4. Schematic interpretation of a bio-impedance based trap (Z-trap) 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 5. Z-trap coil design - 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 6. Original Z-trap and some modifications -2010 CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 7. 2010 Z-trap coil designs CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 8. Z-trap vs. LPD codling moth capture - 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU LPD bottoms and smaller funnels added to traps
  • 9. CSFWC - 2010 B. Lehman/L. Hull - PSU Z-trap vs. LPD codling moth capture cont.
  • 10. Z-trap vs. LPD OFM capture 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU LPD bottoms and smaller funnels added to traps
  • 11. Z-trap signals - 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU Non-target signal Target insect
  • 12. Z-trap signals generated by different target insects CSFWC - 2010 B. Lehman/L. Hull - PSU OBLR CM OFM
  • 13. CSFWC - 2010 B. Lehman/L. Hull - PSU Second generation Infrared trap design - 2010
  • 14. Capture rates of OFM in IR traps vs. standard LPD – 2010 CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 15. IR signals generated by OFM (above) and CM (below) CSFWC - 2010 B. Lehman/L. Hull - PSU
  • 16. CSFWC - 2010 B. Lehman/L. Hull - PSU Funnel experiment to determine moth escape rates
  • 17. Percent of moths escaping CSFWC - 2010 B. Lehman/L. Hull - PSU * Percent moths escaping out of five moths (cm) and ten moths (ofm) per day over a four day (cm) and three day (ofm) period.
  • 18. Trap designed with baffle to prevent moths from escaping CSFWC - 2010 B. Lehman/L. Hull - PSU Jones and Smith, 2010. WSU – unpublished data
  • 19. Future electronic trap plans Redesign Z-trap exterior to increase moth capture rates Design trap with modular components so they can be easily modified for specific insects and/or conditions Modify IR traps to increase capture rates Possibly incorporate Z-trap and IR trap into one trap design Further analyze electronic signals from different target and non-target species Develop a user interface that works in conjunction with wireless communication and automatically displays trap location, insect detections for individual traps, and graphs of cumulative insect detection B. Lehman/L. Hull - PSU
  • 20. Acknowledgments Comprehensive Automation for Specialty Crops (CASC) Funding for the project from the USDA Specialty Crop Research Initiative to CASC members (below) and the Washington State Tree Fruit Research Commission : Carnegie Mellon University Pennsylvania State University Purdue University Oregon State University Washington State University USDA CSFWC - 2010 B. Lehman/L. Hull - PSU