Neural network identification of contaminated corn from FTIR spectra

Neural network identification of contaminated corn from FTIR spectra

We hope to use neural network algorithms and FTIR (Fourier Transform InfraRed) - DRS (diffuse reflectance spectroscopy) to detect fungal contamination of corn. To simulate field data, we made measurements on ground corn supplemented with known amounts of a common corn fungus.

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Bibliographische Detailangaben
Hauptverfasser: Wheeler, B.C., Gordon, S.H., DoWispeleure, D.R., Jackson, M.A., Greene, R.V.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Backpropagation algorithms
Contamination
Fourier transforms
Fungi
Infrared spectra
Neural networks
Pollution measurement
Proteins
Reflectivity
Spectroscopy
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Beschreibung
Zusammenfassung:We hope to use neural network algorithms and FTIR (Fourier Transform InfraRed) - DRS (diffuse reflectance spectroscopy) to detect fungal contamination of corn. To simulate field data, we made measurements on ground corn supplemented with known amounts of a common corn fungus.
DOI:10.1109/IEMBS.1993.978554