Rapid non-destructive testing method for melon seed quality characteristic based on spectral imaging technique

Abstract

The invention discloses a rapid non-destructive testing method for melon seed quality characteristic based on a spectral imaging technique. The melon seed quality characteristics including mildew, moth damage, discoloration and rancidity can be subjected to rapid non-destructive detection through acquiring skin and internal information of melon seeds by utilizing the spectral imaging technique. The rapid non-destructive testing method has the advantages that in detection, melon seed samples do not need pretreatment; non-destructive and rapid effects are achieved, and detection cost is low; the environment is not polluted; meanwhile, the interference of artificial factors in manual evaluation and screening is also prevented, and the result is objective and accurate. The rapid non-destructive testing method for the melon seed quality characteristic based on the spectral imaging technique is beneficial to the refined and automatic production of melon seeds, thus meeting the requirement of consumers on high-quality melon seeds.

Description

technical field [0001] The invention relates to the field of nondestructive detection methods for melon seeds, in particular to a rapid nondestructive detection method for quality characteristics of melon seeds using spectral imaging technology. Background technique [0002] Melon seeds are rich in nutrients such as unsaturated fatty acids, multivitamins and trace elements, which are beneficial to human health and a series of diseases such as depression, neurasthenia, insomnia, high blood pressure, heart disease, anemia, etc. Its unique taste makes it a very popular snack and source of cooking oil. In 2011 / 12, the global production of melon seeds was about 35 million tons, while the production of melon seeds in my country also reached about 2 million tons, showing a trend of increasing year by year. Recent food safety surveys show that more than 80% of consumers have eaten low-quality melon seeds that are moldy, moth-eaten, rancid, etc. Moldy melon seeds are prone to produc...

AI Technical Summary

Problems solved by technology

At present, the detection of rancidity of melon seeds mainly adopts the chemical titration detection method of small sample sampling, and the removal of moldy, moth-eaten and discolored seeds is almost all done by manpower, which makes the detection efficiency very low and the detection cost is high. Automated and refined operations are far from meeting consumers' requirements for high-quality melon seeds

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