REMOTE SENSING OPEN ACCESS JOURNAL: LEADING A NEW PARADIGM IN PUBLISHING




An Approach for Identifying of Fusarium Infected Maize Grains by Spectral Analysis in the Visible and Near Infrared Region, SIMCA Models, Parametric and Neural Classifiers

An approach for identifying of Fusarium infected single melee live resin maize grains based on diffuse reflectance in visible and near infrared region is proposed in the paper.Spectral characteristics were collected in the range 400-2500 nm in steps of 2 nm.Soft independent modeling of class analogy (SIMCA) is used for data processing.Maize grains

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