An image-based grain flow measurement device and measurement method

Abstract

The invention discloses an image-based grain flow measuring device, which comprises a control assembly and a laser emitting assembly, a laser receiving assembly, a light generating assembly and an image acquisition assembly arranged beside a grain elevator, wherein the laser receiving assembly and the laser emitting assembly are arranged at two opposite sides of the grain elevator; when the laserreceiving assembly does not receive laser, image acquisition images are transmitted to the image acquisition assembly; the light generating assembly is used for emitting a light beam, and when the grain moves to the position corresponding to the image acquisition assembly, a marking beam is formed; the image acquisition assembly is used for acquiring a grain image when the image acquisition imagesare received; and the control assembly is used for inputting the length of the marking beam to a grain quality model to obtain the volume and / or the mass of the grain. Through acquiring the side surface image of the grain on the elevator and using the grain quality model to obtain the grain quality, the structure is simple, the measurement is accurate, the use is convenient, and quick measurementof the grain transported by the elevator is realized.

Description

technical field [0001] The invention relates to the technical field of agricultural machinery measurement, in particular to an image-based grain flow measurement device. Background technique [0002] The idea of ​​precision agriculture is to analyze the spatial differences of each farmland, optimize the input of agricultural resources such as fertilizers, seeds, and irrigation water in the most reasonable manner according to the characteristics of crops and soil properties, and realize modern farmland management of timing, quantification, and positioning. Obtain the greatest environmental and economic benefits. Crop yield is an important information that needs to be obtained in precision agriculture. It reflects the impact of farmland soil characteristics, fertilizer use, topographic structure, meteorological factors, irrigation conditions, and Cordyceps infestation on yield. The flow information obtained in real time during grain harvesting and the resulting yield map are ...

AI Technical Summary

Problems solved by technology

The impulse type grain flow sensor is safe to use and widely used, but it has the disadvantages of difficult installation and debugging and poor accuracy, which is not conducive to the promotion and application of my country's agricultural structure adjustment technology

Although the γ-ray grain flow sensor has high measurement accuracy, it is expensive, and γ-rays are potentially harmful to the human body. These shortcomings limit the promotion of this sensor.

Images