Industrialized system for rice grain recognition and method thereof

An industrialized system for rice grain recognition, the system comprising:

• an optical capturing device for capturing optical images, the optical capturing device comprising a data interface for transmitting the optical images to a digital platform over a data transmission network, wherein the optical images are analyzed at the digital platform and a response to the rice grain recognition is provided to the optical capturing device and/or a user device;
• and
• circuitry at the digital platform, the circuitry being configured to implement
• a segmentation module segmenting the captured optical images for grains by identifying optical image segments capturing grains or grain parts;
• and
• a feature extractor extracting measurable grain features from the identified grains or grain parts in the optical images, the features describing different parametrized aspects of the grains or grain parts by a feature extraction process at least comprising shape parameter values and color parameter values and/or spatial parameters and/or geometric parameters,
• wherein, in a learning mode, the circuitry is configured to implement a classifier with a selector for sequential selecting of a plurality of machine learning structures, the selector applying the machine learning structures to the extracted grain features for rice grain recognition, and selecting an applied machine learning structure of the applied machine learning structures, which has a number of grains or grain parts classified as false positive regarding quality as low as possible while keeping an accuracy as high as possible, and
• wherein the selected machine learning structure of the applied machine learning structures is further optimized by varying a discrimination threshold by a threshold trigger, wherein the classified false positives are further minimized to a determined threshold probability for a grain to be classified as good, so that a variation of the discrimination threshold varies a diagnostic ability of the system which is a binary classifier system related to the variation of the discrimination threshold.