DETECTION OF PLANTS DISEASES BY CLASSIFICATION OF PLANTS PHOTOGRAPHY Russian patent published in 2023 - IPC G06N3/02 

FIELD: agriculture.

SUBSTANCE: invention relates to a method, system, and machine-readable long-term storage medium for recognizing plant diseases from image data using a convolutional neural network. In the method, the processor receives a set of photographs of plants infected with a plurality of diseases, wherein the set of photographs shows leaves with a plurality of marked areas having several aspect ratios, each marked area being associated with a disease label from a plurality of diseases and showing at least one damage caused by the disease, a specific photograph of the set of photographs shows a specific sheet having a specific marked area with multiple damage, the total size of the multiple damage exceeds a predetermined percentage of the size of the specific marked area; determination by the processor of a group of anchor frames from a set of marked areas for each of a number of convolutional layers of a single-stage multibox detector (SSD), moreover: The SSD is configured to receive an image and assign to each of one or more image areas at least one class from a plurality of classes corresponding to a plurality of diseases, a group of anchor frames having different aspect ratios and corresponding to different features of the plurality of classes; moreover, the definition of the group of anchor frames further includes: splitting, combining or deleting one or more of the plurality of marked areas to create a new set of marked areas in accordance with the restriction on the size of the marked area, on the ratio of the size of the cluster of damage within the marked area and the sheet, or on the density of damage within the marked area based on a predetermined percentage, wherein the determination is further carried out on a new set of marked areas; the method further comprising linking each region of the plurality of marked regions to one of the anchor frame groups; and training the SSD using the anchor frame group, the set of photographs having the marked area set, the corresponding mark set, and the corresponding anchor set.

EFFECT: improved accuracy of image recognition.

13 cl, 10 dwg