Common scab detection on potatoes using an infrared hyperspectral imaging

TítuloCommon scab detection on potatoes using an infrared hyperspectral imaging
AutoresA. Dacal-Nieto, A. Formella, P. Carrión, E. Vázquez-Fernández, M. Fernández-Delgado
TipoComunicación para congreso
Fonte 16th International Conference on Image Analysis and Processing, Ravenna (Italy), Springer-Verlag, pp. 303-312 , 2011.
ISBN978-3-642-24087-4
ISSN0302-9743
DOI10.1007/978-3-642-24088-1_32
AbstractThe common scab is a skin disease of the potato tubers that decreases the quality of the product and influences significantly the price. We present an objective and non-destructive method to detect the common scab on potato tubers using an experimental hyperspectral imaging system. A supervised pattern recognition experiment has been performed in order to select the best subset of bands and classification algorithm for the problem. Support Vector Machines (SVM) and Random Forest classifiers have been used. We map the amount of common scab in a potato tuber by classifying each pixel in its hyperspectral cube. The result is the percentage of the surface affected by common scab. Our system achieves a 97.1% of accuracy with the SVM classifier.
Palabras chaveHyperspectral, Infrared, Potato, SVM, Random Forest