公开(公告)号：US11037291B2

公开(公告)日：2021-06-15

申请号：US16300988

申请日：2017-04-19

Applicant: BASF SE

Inventor： Alexander Johannes ,  Till Eggers ,  Artzai Picon ,  Aitor Alvarez-Gila ,  Amaya Maria Ortiz Barredo ,  Ana Maria Diez-Navajas

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/90 ,  G01N21/27 ,  G01N33/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: A system (100), method and computer program product for determining plant diseases. The system includes an interface module (110) configured to receive an image (10) of a plant, the image (10) including a visual representation (11) of at least one plant element (1). A color normalization module (120) is configured to apply a color constancy method to the received image (10) to generate a color-normalized image. An extractor module (130) is configured to extract one or more image portions (11e) from the color-normalized image wherein the extracted image portions (11e) correspond to the at least one plant element (1). A filtering module (140) configured: to identify one or more clusters (C1 to Cn) by one or more visual features within the extracted image portions (11e) wherein each cluster is associated with a plant element portion showing characteristics of a plant disease; and to filter one or more candidate regions from the identified one or more clusters (C1 to Cn) according to a predefined threshold, by using a Bayes classifier that models visual feature statistics which are always present on a diseased plant image. A plant disease diagnosis module (150) configured to extract, by using a statistical inference method, from each candidate region (C4, C5, C6, Cn) one or more visual features to determine for each candidate region one or more probabilities indicating a particular disease; and to compute a confidence score (CS1) for the particular disease by evaluating all determined probabilities of the candidate regions (C4, C5, C6, Cn).