Farm Journal: Picture
This by DeeAnna Adkins
From the pages of the Mid-January 2001 edition of
Farm Journal magazine.
The ability to take digital pictures of crop damage
and to transmit that image to plant experts for analysis
is changing how farmers deal with crop loss.
When a Florida green-bean grower had to decide
whether to spray a fungicide, for example, both the
environment and his wallet caught a break--thanks to
digital imagery.
Larry Halsey, Jefferson County, Fla., Extension
director, received the grower's damaged plants. His
first diagnosis was a disease called alternaria.
However, Halsey knew alternaria is often a secondary
invader, usually the result of previous plant damage.
He quickly sent digital images of the plant leaves
and digital microscopic images of the lesions to plant
experts at the Institute of Food and Agricultural
Sciences, University of Florida. He also mailed the
biological sample to the clinic.
The next day, the clinic let Halsey know his hunch
was right--the disease was alternaria. Plant
pathologists could see from Halsey's images that frost
had caused the original leaf damage.
Rapid diagnosis. The diagnosis was confirmed
on the second day by tests on the plant sample. The
farmer had already been told to delay spraying a
fungicide.
"Often, the farmer will see the damage and spray,"
Halsey says.
Not in this case. Since the damage had been done by
frost, the additional cost and labor of fungicide
application would have been totally wasted.
This is but one of a growing number of cases of
timely disease and insect identification by a new
digital analysis system called Distance Diagnostic and
Identification System (DDIS). The system began a few
years ago as a low-cost digital-camera network that
e-mailed images within the Florida Extension system.
Each county Extension office is equipped with digital
cameras. At least two-thirds of the offices have
microscopes that attach to the digital cameras. Cost for
both the camera and the microscope is approximately
$2,200.
Agents record details and field conditions, then
choose which university specialists receive an alert
that the samples have been submitted. Specialists then
make recommendations to the submitting agent.
Halsey says Extension services have a 60% to 75%
success rate of diagnosing insect or weed problems from
digital images alone. Diseases are more difficult and
rely on a high-quality microscopic image of the
pathogen. Even then, successful diagnosis of disease is
only about 15%. When successful, a diagnosis can be made
in a day instead of the week or more required for
mailing and diagnosis of plant samples.
"Something might look like a disease but is actually
something else," Halsey says. "I can send the images to
a pathologist, a physiologist and to the [plant]
nutrition people. If I'm wrong sending it to one lab,
I'm right sending it to another."
Other states are also developing programs to use
digital images for disease diagnosis and insect
identification. The University of Georgia has developed
a Web-based program called Distance Diagnostic Through
Digital Imaging, which Halsey says other states are
adopting.
At the University of Missouri-Columbia, some
Extension agents have been sending digital images for
diagnosis through e-mail for about three years.
"With images from the field, we can get an idea of
the plant's environment," says Barbara Corwin, director
of the Extension Plant Diagnostic Clinic. "That can help
us give suggestions of the types of samples they should
send in."
Aiding diagnosis. Laura Kabrick, an assistant
in Corwin's clinic, agrees that environmental factors
that the submitter believed were minor or insignificant,
such as recent construction and surrounding plants, can
be helpful in diagnosis. "People send in yellow leaves,
but they are often just a symptom of a bigger problem,"
she says.
Kabrick says the highest diagnostic success rates
result from digital images when the disease is or has
become a common problem. "Ninety percent of the time an
experienced person can diagnose a common problem from
the image," she says.
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