Mango fruit maturity detection equipment

Abstract

The invention relates to mango fruit maturity detection equipment. The mango fruit maturity detection equipment comprises a barrel body, an illumination structure which is arranged in the barrel body and is used for illuminating the mango to be detected, an optical fiber detection part which is arranged in the barrel body and can bear mangoes to be detected and transmit spectral signals of the mangoes to be detected, a lifting structure which is arranged in the barrel body, located above the optical fiber detection part and used for conveying the mangoes to be detected in the direction of the optical fiber detection part and enabling the bottoms of the mangoes to be detected to make contact with the optical fiber detection part, and a control box which is connected with the optical fiber detection part and is used for analyzing and detecting the spectral intensity of the mango to be detected so as to judge the maturity of the mango to be detected according to analysis and detection results. The mango fruit maturity detection equipment has the advantages that errors caused by artificial subjective judgment are effectively reduced, and the labor cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of fruit and vegetable detection equipment, and in particular relates to a mango ripeness detection equipment. Background technique [0002] As an important agricultural product, mango is the main daily consumption food of people, and its quality is closely related to people's life. With the globalization of the international market and the improvement of living standards, consumers have higher and higher requirements for the quality of mangoes. The maturity of mangoes directly affects the flavor, hardness, and skin color of mangoes. Unripe or overripe mangoes on the market are not favored by consumers, which in turn leads to poor market circulation and economic losses for fruit merchants and fruit farmers. In addition, the maturity of mangoes also affects many links such as picking and storage. According to statistics, the loss rate of mangoes in picking, packaging, storage, transportation and processing i...

AI Technical Summary

Problems solved by technology

[0004] Generally, the traditional detection of mango maturity is mainly manual detection, relying on human sensory evaluation (such as appearance, color, smell, and gently tapping the mango skin to hear the sound, etc.) to qualitatively detect the maturity level of mango, and there are human errors Disadvantages of large and high labor costs

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