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P. O. Box 160
Portageville, MO 63873
Phone: 573-379-5431
Fax: 573-379-5875
Email:FisherJ@missouri.edu
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USING PHOTOGRAPHY FOR MAKING REPLANT DECISIONS
Bobby J. Phipps, Andrea S. Phillips and Bobby J. Tanner
University of Missouri, Delta Center
Portageville, MO
Abstract
Digital photography is a tool that can be used for making crop
replant decisions quickly. Live tissue reflects more infrared light
than dead tissue. This can be observed using infrared film with a
yellow filter. The live tissue is red and the rest is a blue or a
muted color. Replant decisions must be made quickly and infrared
film can take as much as a week to be processed. Decisions need to
be made quickly, so film development time is critical. A digital
camera virtually eliminates all of the development time by allowing
the photos to be processed in the field on a laptop computer. A
photo that mimics an infrared photo can be seen within five minutes.
With only three or less steps, changing hue and saturation each
time, the photos can be modified to produce the desired result,
which takes less than 5 minutes. The photos are then ready for
interpetion so replant decisions can be made. The healthy tissue is
a bright red. Plants that appear healthy to the eye can be observed
in the photos to have a problem since they will not have a bright
red color. This can be seen as much as a week before death of the
plant. Diseased plants have a higher leaf temperature and will be a
brighter red in the photos. This photography technique can be a
valuable tool for producers, consultants, seed companies, extension
personnel and chemical companies.
Introduction
Early in the growing season, a young cotton crop is vulnerable to
many hazards such as sand blasting, hail and seedling diseases.
When observing fields it is easy to see that many of the plants are
dead or dying. The surviving plants need to be evaluated; they are
the crop of the future. The dead plants are history. Many
producers want to replant when there is an adequate plant stand.
Aerial and satellite infrared photography has been used to evaluate
crop conditions for many years; however these are unsatisfactory for
making replant decisions because of distances involved. Barry Bean,
being an amateur photographer found that certain special effects
were observed using infrared photography and a yellow filter.
Photographs made only a few feet away from the crop had potential
for evaluation of crop condition. The slow development time for
infrared film development was a problem since replant decisions need
to be made immediately. If a digital camera could be used, the
photos could be loaded into a laptop and modified in the field and a
decision made immediately.
Materials and Methods
Several cameras were used including Sony Digital Mavica MVC FD73 and
the newer model, MVC-CD500. A Nikon D100 and Olympus D-390 were
also used. The Sony Mavica cameras can detect infrared light
whereas some cameras such as the Nikon D100 and Olympus D-390 have
built in filters that eliminate infrared light. This was determined
by pointing a hand held television remote control at the camera and
observing the red dot on the viewfinder. No filters were used in
making the photos except when we were determining if infrared light
was needed. Using the Sony software the photos were enlarged and
cropped with the hue and saturation modified. Photoshop 7.0 was more
versatile and allowed individual colors to be modified in addition
to shifting the entire spectrum. Photoshop also allows other
techniques to be used such as the curves command.
In early planted cotton three row feet was photographed each week to
determine surviving plants. Using Photoshop 7.0 hue, saturation,
and lightness were adjusted in the master along with yellow and
green to achieve the desired effect. The master settings are -180
hue, zero saturation, and zero lightness. The master setting shifts
all of the colors around the color wheel a given number of degrees.
A saturated color at 100 percent is the maximum amount of color
whereas zero saturation means the color will be expressed in black
and white. The hue is the amount the color is shifted to another
color in the color wheel. The yellow is -180 hue, zero saturation,
and 100 lightness. The green is 25 hue, 100 saturation, and 0
lightness.
Results and Discussion
It was first believed that the camera should not have built in
internal filters in order to observe the colors seen in infrared
film photos. We found that the internal filters were not important.
Using a B+W 092 or Hoya R72 filter we achieved a red photo similar
to using infrared film without an orange filter but were unable to
manipulate it adequately to predict death of the seedlings.
Photoshop 7.0 was used to modify unfiltered photos and results were
found that mimicked the infrared photos using an orange filter.
Using image, then adjustment followed by hue and saturation
commands, the photos were modified to mimic the infrared photos that
used a orange filter. With Photoshop the master command shifts all
of the colors on the color wheel in degrees going either clockwise
for a positive number or counter clockwise for a negative value on
the wheel to a maximum of plus or minus 180. Some software uses one
turn around the color wheel to be 100 (one unit is equal to 3.2
degrees). The amount of color is controlled by modifying the
saturation. Zero saturation is black and white and 100 percent is
maximum color. Each color can also be modified independently. The
best results were obtained by changing the master (all colors) to a
hue of -180 and saturation to zero, green to a hue of twenty five
and saturation to 100 and yellow to a hue of -180 and saturation to
zero. The leaves were bright red if healthy and green or blue if
unhealthy. This can be easily accomplished in the field using a
laptop computer. A degree of interpretation is required. Some
plants that looked very healthy showed a blue or green color in the
modified photos and died in a few days whereas red leaves in the
photos survived. Colors can be modified so unhealthy plants are
yellow instead of blue and green. Variation in cameras and
photographic conditions may warrant modifications of these settings.
Other commands for color modification besides the image adjustments
of hue and saturation such as curves, levels, invert, replace color
and color balance were evaluated. The hue and saturation command
was found to be the easiest to use and gave superior results.
Any digital camera is satisfactory for making the replant decisions.
The number of pixels is relatively unimportant. Photoshop is
superior to software supplied with the cameras since it has so many
options and modify color an infinite number of ways.
Summary
Digital photography can emphasize the live tissue with proper color
manipulation of the photos, which will aid in making a replant
decision. This requires three or less separate steps and can be done
in the field with a laptop computer. Photoshop 7.0 was the only
software needed.
This technique can be a useful tool for producers, chemical
companies, seed companies, crop consultants and extension personnel.
Cotton Incorporated is funding this project.
References
Fitzgerald, G.J. 2001. Hyperspectral Remote Sensing Systems and
Analysis.
http://webpages.acs.ttu.edu/smaas/asa2000/fitzgerald.htm.
Fitzgerald, G.J., and S.J. Maas. 2000. Comparison of Remotely Sensed
Imagery Acquired with Infrared Film and Digital Cameras. Agronomy
Abstracts Pp. 15.
Maas, S.J. 1988. Using Satellite Data to Improve Model Estimates of
Crop Yield. Agronomy J. 80:655-662.
Maas, S.J. and J.R. Dunlap. 1989. Reflectance, Transmittance, and
Absorptance of Light by Normal, Etiolated, and Albino Corn Leaves.
Agronomy J. 81:105-110.
Maas, S.J. and Glenn J. Fitzgerald. 2000. Evaluation Of An
Inexpensive Imaging System For Agricultural Remote Sensing.
http://webpages.acs.ttu.edu//smaas/adc/adc.htm.
Phipps, B.J and B.B. Bean. 2002. Using Infrared Photography as a
Tool For Replant Decisions and Herbicide Application Decisions.
Proceeding of the Beltwide Cotton Conference.
Plant, R.E. Munk, D.S., Roberts, B.R., Vargas, R.L., Rains, D.W.,
Travis, R.L., and R.B. Hutmacher. 2000. Relationships Between
Remotely Sensed Reflectance Data and Cotton Growth and Yield.
Transactions of the American Society of Agricultural Engineers
43:(2): 0.
Read, J.J., Tarpley, L., McKinion, and K.R. Reddy. 2000.
Hyperspectral Reflectance Properties for Remote Detection of
Nitrogen Stress in Cotton. Agronomy Abstracts Pp. 125.
Scharf, P.C. and J.A. Lory. 2002. Calibrating Corn Color from
Aerial Photography to Predict Sidedress Nitrogen Need. Agronomy J.
94:397-404.
Staggenborg S.A. and R.K.Taylor. 2000. Predicting Corn Yield with
Sparsely Collected Infrared Images. Agronomy Abstracts. Pp. 140.
Stewart, A.M., K.L. Edmisten, and R. Wells. 1998. Digital Camera
Analysis of Defoliation and Light Interception. 1998. Proceeding
of the Beltwide Cotton Conference. Pp. 1368.
Varco, J.J., M. Seal, H. Buscaglia and J.M. Thompson. 1998.
Utilization of Spectral Imaging to Detect N and K Deficiencies in
Cotton. Proceedings of the Beltwide Cotton Conference. Pp.
629-630.
Wilkerson, J.B., R. Sui, W.E. Hart, and D.E. Howard. 1998.
Development of a Variable-Rate Nitrogen Applicator Based On Spectral
Reflectance Characteristics of Cotton Plants. Proceedings of the
Beltwide Cotton Conference. Pp.439-442.
Figure 1. Seedling cotton on May 3
Figure 2. Change Master Hue -180 and Saturation 0
Figure 3. Change Green Hue 25 and Saturation 100
Figure 4. Change Yellow Hue -180 and Saturation 0
Figure 5. Modified Photograph
Figure 6. Surviving Plants on May 7
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