System and method for detecting plant diseases

Abstract

A system (), method and computer program product for determining plant diseases. The system includes an interface module () configured to receive an image () of a plant, the image () including a visual representation () of at least one plant element (). A color normalization module () is configured to apply a color constancy method to the received image () to generate a color-normalized image. An extractor module () is configured to extract one or more image portions () from the color-normalized image wherein the extracted image portions () correspond to the at least one plant element (). A filtering module () configured: to identify one or more clusters (Cto Cn) by one or more visual features within the extracted image portions () 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 (Cto 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 () configured to extract, by using a statistical inference method, from each candidate region (C, C, C, 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 (CS) for the particular disease by evaluating all determined probabilities of the candidate regions (C, C, C, Cn).