Intelligent silkworm pupa identification facility and method

Abstract

The invention belongs to the technical field of male and female silkworm pupa identification in the silkworm breeding and mulberry growing industry and particularly relates to an intelligent silkworm pupa identification facility and method. The intelligent silkworm pupa identification facility comprises a base, an intelligent silkworm pupa conveying device, an intelligent silkworm pupa detecting device and an intelligent silkworm pupa collecting device. The intelligent silkworm pupa conveying device is arranged on the base and used for driving silkworm pupae to move forwards at a given speed, positioning and picking the silkworm pupae and adjusting the postures of the silkworm pupae. The intelligent silkworm pupa detecting device is located at the conveying tail end of the intelligent silkworm pupa conveying device and used for conducting image collection on the silkworm pupae and identifying gonad characteristics of the silkworm pupae. The intelligent silkworm pupa collecting device is located beside the intelligent silkworm pupa detecting device and used for separating and collecting the identified silkworm pupae. According to the intelligent silkworm pupa identification facility and method, the conveying device is compact in overall structure, and the machine vision technology is adopted, so that through software control, transferring and posture adjustment of the silkworm pupae can be achieved at the same time, the accuracy rate of subsequent intelligent silkworm pupa identification can be effectively increased, and accordingly the facility and method have wide application prospects in the fields such as intelligent silkworm pupa transportation.

Description

technical field [0001] The invention belongs to the technical field of identification of female and male silkworm chrysalis in the sericulture industry, and more specifically relates to an intelligent identification device and method for silkworm chrysalis. Background technique [0002] my country is a large agricultural country, and sericulture has always been an important part of my country's agriculture. Silkworm breeding is a key link in silkworm breeding, and the separation of male and female silkworm chrysalis determines the quality of silkworm breeding. At present, the separation of male and female silkworm chrysalis relies on workers to observe the characteristics of gonads at the tail of silkworm chrysalis through eyes, and then rely on experience to judge. This traditional method has problems such as low efficiency, low accuracy, and high labor intensity, which no longer meets the needs of agricultural modernization. . With the advancement of agricultural moderniz...

AI Technical Summary

Problems solved by technology

At present, the separation of male and female silkworm chrysalis is done manually, and correspondingly, the transportation of silkworm chrysalis is also done manually. However, this method has problems such as low efficiency, low accuracy, and high labor intensity, which no longer meets the needs of modern agricultural development.

In view of this situation, many related persons try to automatically separate silkworm chrysalis by detecting the relevant characteristics of silkworm chrysalis, for example, by analyzing the difference in the near-infrared spectra of male and female silkworm chrysalis, and using machine vision to detect the difference in silkworm chrysalis shape and tail texture information. Realize the automatic separation of silkworm chrysalis, but these methods only use the traditional conveyor belt to transport the silkworm chrysalis, without considering the stacking and various postures of the silkworm chrysalis when they land on the conveyor belt, because the detection system is fixed, follow-up. It is difficult to detect the corresponding characteristics of silkworm chrysalis, so the accuracy of the separation of male and female silkworm chrysalis is low, and it is difficult to be widely used in actual production. At present, there is no case of successful development of corresponding equipment. Therefore, there are high-intelligence, Strong technical requirements for high-accuracy intelligent conveying devices

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