This paper is part of a project of using hyperspectral imagery to detect pathogens such as
mycotoxin-producing fungi, in grain products, such as corn. Traditionally, corn kernels have been
examined for evidence of bright greenish-yellow fluorescence (BGYF), indicative of the presence of
A. flavus, when illuminated with a high-intensity ultra-violet light. The BGYF approach is time and
labor intensive and somewhat inaccurate. Several previous studies have examined spectral-based,
non-destructive methods for the detection of fungi and toxins. This research focuses on using
spectral image data for fungi and toxin detection. A tabletop hyperspectral imaging system, VNIR-
100E, is used in the study for high spectral and high spatial resolution spectral data acquisition. In
this paper, a total of five toxin producing fungal species were used in two experiments. They are
Penicillium chrysogenum, Fusarium moniliforme, Aspergillus parasiticus, Trichoderma viride, and
Aspergillus flavus. All fungal isolates were cultured on agar in Petri-dishes under lab conditions and
were imaged on day 5 of growth. The objective of this study is to use hyperspectral imagery for
classification of different fungi.