A visual recognition sugarcane cutting machine

Abstract

The invention discloses a sugarcane seed cutting machine based on visual recognition, and belongs to the field of agricultural planting machinery. The sugarcane seed cutting machine based on visual recognition comprises a seed pre-feeding mechanism, a conveying mechanism, an identification mechanism and a seed cutting box; the seed pre-feeding mechanism is connected with the conveying mechanism; the conveying mechanism is provided with a calibration sliding plate and a baffle; and the identification mechanism is provided with a rolling brush. After seed sugarcane is taken from a seed box to aseed tray, the sugarcane falls from a lower end, passes through a guiding groove and the calibration sliding plate, and then enters a conveying channel, the rolling brush rotates and drives the sugarcane to rotate, a camera collects a whole-circumference image, a driving roller rotates and drives the sugarcane to make lateral movement, the sugarcane enters the seed cutting box for cutting operation. The baffle and the rolling brush are added, and the rolling brush drives the sugarcane to rotate to realize the whole-circumference image collection, and when the baffle prevents the rolling brushfrom driving the sugarcane to rotate, the position of the sugarcane changes, and a position calibration result is invalid. The sugarcane seed cutting machine of the invention realizes the whole-circumference image collection of sugarcane, removes sugarcane segments suffered from pests and diseases, improves the qualified rate of the sugarcane segments, and increases the sugarcane yield.

Description

technical field [0001] The invention relates to a visual recognition sugarcane cutting machine, which belongs to the field of agricultural planting machinery. Background technique [0002] Sugar is an important strategic material of the country, and more than 90% of it comes from sucrose. Sugarcane production is directly related to China's basic sugar supply capacity. In recent years, with the impact of foreign sugar markets and the rise of agricultural labor costs, China's sugar industry is facing industrial losses, seriously affecting the safe supply of sugar and social stability in China. The traditional sugarcane planting process is all done manually, which requires a lot of labor, high labor intensity and low efficiency. Due to the shortage of labor in recent years, labor costs have increased significantly. Therefore, accelerating the mechanization of sugarcane planting is of great significance to solve the labor shortage in sugarcane areas, reduce the cost of sugarc...

AI Technical Summary

Problems solved by technology

[0003] Sugarcane cutting must require that there be stem nodes on the single section of sugarcane that is cut out, so that sugarcane will grow. At the same time, the sugarcane is easily disturbed by diseases and insect pests. The quality of sugarcane seeds is poor and the yield of sugarcane is reduced, affecting the income of sugarcane farmers

[0004] At present, there are related visual recognition sugarcane cutting machines developed on the market, all of which adopt real-time monitoring and real-time cutting methods. When the distance between stem nodes is small, the qualified cutting quality cannot be guaranteed.

Moreover, the current sugarcane seed cutters cannot identify pests and diseases, resulting in poor quality sugarcane seeds

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