On-line quality detection method for macadamia nuts

Abstract

The invention relates to the technical field of quality detection for nuts, and particularly relates to an on-line quality detection method for macadamia nuts. During production of the macadamia nuts, it is very difficult to detect the quality of the kernels (such as moth, mildewing and empty nuts) since the shell is closed, so that the macadamia nuts need to be selected by slitting the shells by manual work, which greatly influences production efficiency and is difficult to guarantee the quality stability. The invention provides an automatic detection method, in which spectral information of the kernels can be detected through a seam, and with an established kernel spectrum character data bank, the on-line quality detection of the macadamia nuts is quickly carried out, and reference for auto-rejection of bad nuts is further supplied. On the basis of the method, full-auto-on-line screening of the macadamia nuts is achieved. The method has important meanings for improving quality screening accuracy, reducing production cost and increasing production efficiency of the macadamia nuts. The method is suitable for any nut quality identification and auto-screening processes that the kernels are inspected through seams.

Description

technical field [0001] The invention relates to the technical field of quality detection of macadamia nuts, in particular to an online quality detection method of macadamia nuts. Background technique [0002] Macadamia nuts have good nutritional value and medicinal value, and are a popular nut food. Macadamia nuts are easy to deteriorate during transportation (especially long-distance sea transportation) and storage. Before further processing, it is necessary to remove moldy, germinated, blackened and oily bad fruits to ensure food safety and product quality. [0003] At present, macadamia nuts are sorted by cutting and manual picking in the nut industry. This method has a low degree of automation, high labor costs, and it is difficult to guarantee the accuracy of removal and production efficiency. Manual picking of macadamia nuts relies heavily on personal experience, but there are still cases of quality that cannot be distinguished by the naked eye, such as the identifica...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an online quality detection method for macadamia nuts, which realizes the quality identification of macadamia nuts through automatic detection equipment, solves the problem of relying on personal experience and difficulty in guaranteeing accuracy in manual screening, and helps to improve the quality of macadamia nuts. Productivity

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