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Indicators of Plant Stress and Measurement Methods

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Indicators of Plant Stress and Measurement Methods – PowerPoint PPT presentation

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Title: Indicators of Plant Stress and Measurement Methods


1
Indicators of Plant Stress and
MeasurementMethods
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  • Glen Rains
  • University of Georgia
  • Biological and Agricultural Engineering Department

2
Use of the other senses
  • Smell
  • Taste
  • Touch (Tactile)
  • Sound

3
Sound
  • Insects make noise inside the plant and in the
    ground
  • ARS scientists, AU, UF, and Montana SU developed
    technique to listen for pests
  • With low-level background noise, insects within
    12 inches can be detected 100 percent of the time
    and 75 percent of the time under adverse
    conditions

4
Sound
5
Touch
  • Some plants have been found to change their
    physiological state from handling or movement
  • Wind can trigger chemical defense in tomatoes and
    some trees.
  • Insects vibrate plants to signal to each other

6
Why is smell of interest
  • Looking for a way to detect plant infestation
    from disease and/or insects
  • Variation over time and within a field
  • Precision agriculture
  • Current detection is through scouting
  • With/without GPS
  • However, plants provide chemical signals to the
    environment around them

7
Plant signaling
  • Plants produce chemicals as direct and indirect
    defenses against pests
  • Worked with parasitic wasp, that lays eggs in the
    corn earworm and tobacco budworm
  • Discovered that plants were producing chemicals
    that attracted the female wasps to the plant
    where they could find caterpillars to lay eggs

8
Plant Response
9
Wasp Behavior
10
Significance of Plant Attributes
  • New approach to genetic engineering
  • Research to optimize beneficial organisms
    interactions with plants
  • Makes precision application of nutrients more
    important
  • Reduces chemical pesticide use and work to
    enhance system

11
Collection of volatiles
12
GC characterization
13
Soil-borne pathogen
  • Attacks roots and peanut pods
  • Not-detectable

14
Soil fungal pathogen
15
Peanut and white mold volatiles
16
Sensor Development
Sensor
Sensing
  • - Artificial Sensor
  • - Whole Insect
  • Antennae
  • Bio-sensor

Learning and Programming
-Wasp -ANN -Feedback
Plant Health Detection
Characterize Volatile Chemicals
-Disease -Plants -Stress level
17
Behavioral Response
18
Portable Electronic Nose
  • 32 sensors that adsorb chemicals
  • Trained using several statistical methods
  • Response within approximately 30 seconds

19
Prototype Wasp Sensor
20
Sensor Response to White Mold Odor
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