Grain quality real-time detection device and method

Abstract

The invention provides a grain quality real-time detection device and method, and belongs to the field of agricultural intelligent equipment. The real-time detection device comprises a flowing grain image capture device, an embedded processor and an interactive display screen; a grain flow channel bottom plate in the flowing grain image capture device is fixed to an outlet of a grain conveyor through a fixing iron wire; the grain flow channel bottom plate is further wound with tightening bolts on the two sides of a grain collecting bin through adjustable iron wires; and therefore, the installation of the flowing grain image capture device is realized. In a real-time detection process, grains in the grain conveyor flow out, part of the grains are intercepted by the grain flow channel lowerbottom plate; a CCD industrial camera exposes the interior of a flow channel in a fixed period to capture images and transmits the images to an embedded processor; and the processor processes the images through the OPENCV and the XGBoost algorithm to obtain the real-time quality of the grains. The device and method are suitable for real-time detection of grains of different varieties in various application scenes.

Description

technical field [0001] The invention belongs to the field of agricultural intelligent equipment, and in particular relates to a real-time grain quality detection device and method. Background technique [0002] China is a big agricultural country, and the process of agricultural mechanization has made considerable progress, but the degree of intelligentization of agricultural machinery is still low, mainly because there are fewer sensors in the background of agriculture. The importance of agricultural smart sensors in the agricultural field is becoming increasingly apparent, and the demand for smart sensors in the agricultural field is gradually increasing. During the operation of harvesting machinery, the quality inspection of harvested grains has always been a difficult problem. How to obtain suitable grain characteristics for subsequent quality inspections has become the primary problem to be overcome. [0003] Due to its non-contact, high accuracy, and simple principle,...

AI Technical Summary

Problems solved by technology

However, in the prior art, images of grains are often obtained by taking static pictures, so as to inspect the appearance of grains, which is inefficient and cumbersome, and the randomness of the collected grain samples is not enough, which cannot meet the real-time and rapid detection requirements of grain quality.

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