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ARS Home » Plains Area » Lincoln, Nebraska » Agroecosystem Management Research » Research » Publications at this Location » Publication #152342
Title: APPLICATION OF HYPERSPECTRAL SENSORS TO THE CLASSIFICATION OF CORN N STATUS

Author
item Francis, Dennis
item INAMASU, RICARDO - EMBRAPA @ LINCOLN NE
item Schepers, James
item Shanahan, John
item HOLLAND, KYLE - HOLLAND SCIENTIFIC

Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/15/2003
Publication Date: 10/1/2003
Citation: Francis, D.D., Inamasu, R., Schepers, J.S., Shanahan, J.F., Holland, K. 2003. Application of hyperspectral sensors to the classification of corn n status. Agronomy Abstracts. #833589. CDROM

Interpretive Summary:

Technical Abstract: Techniques to remotely evaluate crop N status include aerial photographs, satellite imagery, and multi-spectral crop canopy reflectance sensors. However, it has proven difficult with these techniques to develop evaluation factors that take into account changes in crop color and canopy architecture resulting from growth, changes in cultivar, and plant stresses other than from N for a corn crop. Hyperspectral data has been shown to be able to differentiate between certain plant stresses, but the large amount of data that must be collected and analyzed is a major drawback. In order to reduce the data load, This study evaluated collecting and analyzing data only from small sections of the spectrum to classify the N status of corn.