Industrialized system for rice grain recognition and method thereof

Abstract

Proposed is an industrialized system (1) and method for rice grain recognition. An optical image (123) is taken by a user (5) and transmitted to a digital platform (11), wherein the system (1) segments the optical image (123) and extracts and / or measures appropriate grain features (41) from the image (123) describing different aspects of the grain (4). The image (123) is processed by the system (1), comprising a selector (1122) selecting different machine learning structures (11211,...,1121i), applying the different machine learning structures (11211,...,1121i) to the extracted features (41) for rice grain (4) recognition, and selecting the best of the applied machine learning structures (11211,...,1121i) by a random sampling process. The selected best of the applied machine learning structures (11211,...,1121i) is further optimized by varying an appropriate threshold (11231) by a threshold trigger (1123) based on a confusion matrix comprising (11221). An active learning structure (113) based on the confusion matrix comprising (11221) the values of True Positive (TP), False Negative (FN), False Positive (FP) and True Negative (TN) for the classified rice grains, providing a feedback loop to the user or human expert (5), wherein the system (1) is retrained based on the feedback parameters of the feedback loop (1132).

Description

technical field [0001] The present invention is in the field of industrialized systems for rice and other grain identification and classification. In particular, the present invention relates to optical sorting and optimized sorting devices for sorting spoiled rice or other seeds. Background technique [0002] Optical identification and classification is an important technical field in rice industrial production and presents many technical challenges. On the other hand, the importance of rice as a staple food cannot be overestimated. Rice is the most important food crop in developing countries and is the staple food for more than half of the world's population. Therefore, rice is the most important food crop for humans in the world, directly supporting more people than any other crop. In 2012, almost half of the world's population - more than 3 billion people - depended on rice every day. It is also a staple across Asia, where about half of the world's poorest people live...

AI Technical Summary

Problems solved by technology

However, it remains a challenge to classify rice grains with small heterochromatic spots and very short non-broken rice grains

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