Non-Destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging
We present a new method to detect the presence of the hollow heart, an internal disorder of the potato tubers, using hyperspectral imaging technology in the infrared region. A set of 468 hyperspectral cubes of images has been acquired from Agria variety potatoes, that have been cut later to check the presence of a hollow heart. We developed several experiments to recognize hollow heart potatoes using dierent Artificial Intelligence and Image Processing techniques. The results show that Support Vector Machines (SVM) achieve an accuracy of 89.1% of correct classication. This is an automatic and non-destructive approach, and it could be integrated into other machine vision developments.
keywords: Hyperspectral, Infrared, Potato, SVM, Random Forest
Publication: Congress
1624015009045
June 18, 2021
/research/publications/non-destructive-detection-of-hollow-heart-in-potatoes-using-hyperspectral-imaging
We present a new method to detect the presence of the hollow heart, an internal disorder of the potato tubers, using hyperspectral imaging technology in the infrared region. A set of 468 hyperspectral cubes of images has been acquired from Agria variety potatoes, that have been cut later to check the presence of a hollow heart. We developed several experiments to recognize hollow heart potatoes using dierent Artificial Intelligence and Image Processing techniques. The results show that Support Vector Machines (SVM) achieve an accuracy of 89.1% of correct classication. This is an automatic and non-destructive approach, and it could be integrated into other machine vision developments. - A.Dacal-Nieto, A.Formella, P.Carrión, E.Vázquez-Fernández, M.Fernández-Delgado - 10.1007/978-3-642-23678-5_20
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