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AssigneeUniversity of Florida Research Foundation, Inc.
InventorsIoannis AMPATZIDIS, Jeanette HARIHARAN
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Various embodiments of the present disclosure provide systems and methods for detecting and classifying a disease state of a plant based at least in part on generating a reflectance signature for the plant. The reflectance signature is generated using a reduced set of orthogonal signal components determined from the Karhunen-Loeve Expansion. Various embodiments enable the classification of different disease states (e.g., healthy, asymptomatic, early stage, late stage) of a particular plant disease and the classification of disease states of different plant diseases, such as the differentiation between plants infected with a first plant disease from plants affected with another plant condition. The reflectance signature is generated using reduced-spectrum frequency data extracted or processed from reflectance signal data obtained from the plant. One or more signal components of the reflectance signal data that accurately describe at least a threshold amount of variance or energy of the reflectance signal data are selected for generation of the reflectance signature.
A method for detecting diseases in one or more plants, the method comprising:
A system for detecting diseases in one or more plants by:
A computer program product for detecting diseases in one or more plants, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:
Dependencies are inferred from the claim text.