Imaging System Analyzes Crop Health
Farmers could soon reduce water, energy, and labor costs by using imaging technology that analyzes crop health. Opto-Knowledge Systems, Inc. (OKSI) of Torrance, CA has developed modeling and simulation software to work with a hyperspectral imager to analyze and monitor the health of crops on large, multi-acre farms. Hyperspectral imaging produces computer-enhanced graphic depictions based on a targeted object’s spectral absorption, reflectivity, and thermal radiance.

After the MDA contract concluded, OKSI began considering commercialization potential for the technology. If the software could be used with a hyperspectral imaging system to detect and analyze spectral signatures of objects in space, what about monitoring something closer to home? OKSI decided that the best use of the software and imaging system combo on land was in agriculture, due to the difficulty of monitoring the health of acres of individual plants.
With the technology and application idea in hand, OKSI met with some farmers who grow the nearly 750,000 acres of cotton in the San Joaquin Valley of California, as well as with experts from the U.S. Department of Agriculture, local county government, and the University of California. What company researchers found was a problem endemic to farmland in Southern California: the land is desert that relies heavily on irrigation canals from the northern part of the state. Because of the natural lack of water, farmers tend to irrigate — typically mixing nutrients in with the water — and apply chemicals and insecticides on fixed schedules.
But the typical means of irrigating does not really take into consideration the balance between the health of the crops and environmental concerns. Crops will die if not watered or protected against insects. But if too many nutrients, chemicals, and pesticides are applied, the environment may be adversely impacted.
So OKSI gathered a team of biologists, entomologists, and other experts in the area to size up the problem and determine how OKSI’s technology could directly benefit the cotton growers of the San Joaquin Valley. They collected data — including specific spectral signatures and stress caused by lack of water, lack of nutrients, salinity of the soil, or insect infestation — on cotton plants grown in San Joaquin Valley.
The scientists determined the spectrally significant features of cotton are generally found in the visible spectrum and nearinfrared wavelengths, rather than mid-wave infrared, as is the case with missiles. OKSI and its team were then able to incorporate the information into the software suite for use with hyperspectral imagers and sensors.
How it Works
OKSI’s technology differs from similar products on the market because its hyperspectral imager and proprietary software use preprogrammed spectral signatures of specific crops to analyze and produce detailed maps of fields. Most other technologies are not programmed with the high-spectral-resolution signatures of specific plants, and simply do a “color” analysis of an entire field, without regard to the type of crop being viewed. Furthermore, the level of detail provided by OKSI’s equipment offers farmers either a macro view of the entire field, to locate where unhealthy plants are grouped, or a micro view of individual plants in a dying cluster, should such specificity be desired.

The information in the report is very specific and provides the exact geographic co - ordinates of the particular section of field. And to help less en the burden of finding specific stressed plants or areas of stressed plants, the maps can be easily downloaded to a personal data assistant and hand-carried to the crops needing as - sistance. By being able to discern which areas of a field are un - healthy and need irrigation, farmers can save many thousands of dollars a year just by reducing the amount of water normally used, according to OSKI.
OKSI’s technology also is used in conjunction with cropdusting aircraft to ensure that insecticides are spread in areas where needed, not in one blitz with the hope that everything is covered. To ensure insecticides are spread over infested areas, a farmer could take the data acquired through the OKSI analysis and match the unhealthy areas with coordinates plugged in to a global positioning system (GPS) device.
During the early part of the growing season, the farmer could drive out to the OKSI-specified unhealthy area, guided by GPS navigation, and make a firsthand determination of the need for spraying insecticides. The farmer could then contact a crop-duster pilot and request a particular area be sprayed. This selective spraying process could save farmers thousands of dollars annually.
Where it Stands
Beyond managing resources used to grow cotton, OKSI has been using its hyperspectral imager in a laboratory setting to inspect old oil paintings. The company recently inspected a 16th-century painting in which the layers of oil on the canvas were carefully analyzed. The analysis revealed that another painting was beneath the original’s surface. Hyperspectral imaging allowed OKSI researchers to look through several layers of paint.
In the agricultural arena, OKSI researchers are studying the characteristics of other crops — mainly tomatoes and corn — to see if hyperspectral imaging could benefit those farmers. The company is particularly interested in fielding this technology in the Midwest and the South, where much arable land exists. OKSI is also interested in working with museums and art collectors to help unlock mysteries of centuries-old paintings. OKSI also has been successful in demonstrating its technology onboard unmanned aerial vehicles.
More Information
For more information on OKSI’s hyperspectral imager and software, visit http://info.hotims.com/22922-517 . (Source: Joe Singleton/NTTC; MDA TechUpdate, Missile Defense Agency, National Technology Transfer Center Washington Operations)
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