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Phone: 573-379-5431
Fax: 573-379-5875
Email:FisherJ@missouri.edu
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Using Infrared Photography As a Tool For Replant Decisions & Herbicide Application Decisions
Bobby J. Phipps
University of Missouri, Delta Center
Portageville, MO
Barry B. Bean
Bean & Bean Cotton Company
Peach Orchard, MO
Abstract
Infrared photography was evaluated as a tool to make replant and
weed control decisions. Infrared emphasizes the plants that are
alive. This is needed for making a replant decision and also for
determining the need for weed control. Decisions need to be made
quickly, so film development time is critical. Infrared color film
with the use of only a yellow filter produces a photo that has
bright red live plant tissue and all other colors are muted.
Digital photography eliminates virtually all of the development time
by allowing the photos to be processed in the field on a laptop
computer. With only two steps, changing hue and saturation can
modify photos. The photos are then ready for interpetion for making
replant and weed control decisions. This 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 much of the crop is
dead or dying. What is important is what is still alive. These
plants are the crop of the future. Dead plants are a thing of the
past. Many producers want to replant when there is an adequate
plant stand. After herbicides are applied it is natural to observe
the dead weeds. Again what is important is what is alive. The dead
and dying plants are history. Very small weeds are not easily
observed and it is critical that these are sprayed before the fifth
true leaf stage of the cotton crop when Roundup Ready varieties are
planted. Aerial and satellite infrared photography has been used to
evaluate crop conditions for many years. However these are
unsatisfactory for making replant decisions. Barry Bean, being an
amateur photographer found that certain special effects were
observed using infrared photography from only a few feet away from
the crop and had potential for evaluation of crop condition. The
slow development time for infrared film development was a problem
since replant and weed control decisions need to be made
immediately. If a digital camera could be used, the photos could
be loaded into a laptop and modified. Then replant or weed control
decisions can be made immediately while in the field.
Materials and Methods
Olympus OM2000 single lens reflex cameras with a twenty-eight mm
F2.8 lens using thirty-five mm film was used. Three Kodak film
types were used: Ektachrome Professional Infrared EIR, High-Speed
Infrared black and white negative, and Elite chrome. Small plants,
cotton and weeds were photographed using cameras mounted on a three-
foot tripod with cameras loaded with each of the film types using a
series of filters, shutter speeds and f stops. Filters used were
Schneider E+W infrared 093 and 092. Other filters used were Hoya
yellow (K2), orange (G), green (X-1), red (25A) and polarizing
(CIR). Film was developed using a Rapid E-6 home processing kit
manufactured by Unicolor. Temperature of the water bath was
regulated with a CPM model 800 water temperature control.
A Sony Digital Mavica MVC FD73 camera was also evaluated using the
same filters used on the SLR camera. The camera uses a 3.5-inch
floppy diskette. The digital photographs were modified using the
Sony software supplied with the Sony camera and Photoshop 6.0 by
Adobe. The Sony Mavica camera can see infrared light whereas some
cameras have built in filters that filter out infrared light. This
was determined by pointing a hand held TV remote control at the
camera and observing the red dot on the viewfinder. Hue and
saturation were adjusted in two steps to achieve the desired effect.
Results and Discussion
The recommended ASA speed of Kodak Ektachrome Professional Infrared
EIR film is 200, however we found that 360 is better for our
purposes. The exposure was better at this ASA film speed setting
regardless of filters used. The special effect we needed was to
show live tissue in sharp contrast to dead tissue or soil. The
yellow (K2) filter was superior to any of the other combinations.
It would be expected that the 092 or 093 filters that admit only
infrared light would be superior. The yellow filter gave a very red
color to the green tissue and the rest of the photo is muted. It
greatly emphasized the live tissue. We found that the film is
sensitive to temperature during development. The temperature must
be closely monitored.
The Kodak High-Speed Infrared black and white negative film did not
emphasize the live tissue. At any exposure or combination of
filters, the photos were not suitable for this use.
The color film produces very desirable colors but the delay between
exposure and being able to evaluate the photos is at the minimum a
few hours when developed in a home lab or several days when
developed in a commercial lab. It is much more desirable to
evaluate photos while in the field. The digital camera would
eliminate this problem by eliminating the development time. Photos
with filters, even yellow and infrared and yellow did not give the
desired effect. Photoshop 6.0 was used to modify unfiltered photos
and satisfactory results were found. It was then decided to use the
software that was supplied with the camera. This proved to be easy
to accomplish by adjusting the hue and saturation. First the hue
must be adjusted to seventy-five and the saturation set at 100
percent. This photo must be saved and then modified again. In the
second step the hue must be adjusted to 143 and the saturation again
set at 100 percent. These adjustments will color the green tissue
bright red and the background colors will be blue. This can be
easily accomplished in the field in a vehicle.
It was not determined if the higher infrared reflectance of live
tissue or manulipition of green color is the cause of the red color
in the final photos.
Summary
Color infrared film produced a very desired contrast between live
tissue dead tissue in cotton or weeds and everything else when used
with only a yellow filter and without an infrared filter.
Developing temperatures must be monitored very closely. The black
and white infrared film was unsatisfactory for producing the desired
effect. A problem with the film is the delay between exposure and
finished print or slide.
Digital photography can emphasize the live tissue with proper color
manipulation of the photos. This requires two separate steps and
can be done in the field with a laptop computer. It did not require
special software other than the software supplied with the camera.
However we did not use software from other camera manufacturers.
This technique can be a useful tool for producers, chemical
companies, seed companies, crop consultants and extension personnel.
Delta and Pine Land Company funded this project.
References
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.
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.
Staggenborg S.A. and R.K.Taylor. 2000. Predicting Corn Yield with
Sparsely Collected Infrared Images. Agronomy Abstracts. Pp. 140.
| Figure 1. Photo with infrared film and yellow filter | Figure 2. Digital photo of cotton and weeds |
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| Figure 3. First step changing hue and saturation | Figure 4. Second step changing hue and saturation |
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| Figure 5. Modified photo |
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