Fruit freshness identification method, device and system based on smell information BP neural fuzzy identification

Abstract

The invention discloses a fruit freshness identification method, device and system based on smell information BP neural fuzzy identification. The method comprises the steps of: collecting smell information emitted by a fruit to be tested, preprocessing the collected smell information, and extracting smell characteristic parameters; respectively inputting the extracted smell characteristic parameters into each trained BP neural network model for calculation to obtain a calculation result of each characteristic index for measuring the freshness of the fruit by a single factor; calculating a comprehensive score of the freshness of the fruit to be tested by using a fuzzy comprehensive evaluation method according to the calculation result of each characteristic index, and finally obtaining an identification result of the freshness of the fruit to be tested. According to the fruit freshness identification method, device and system disclosed by the invention, the BP neural network is combinedwith an ordinary matrix multiplication to perform smell identification, the freshness of the fruit is evaluated in combination with a fuzzy sensory identification algorithm, the freshness of the fruit can be accurately identified, and the fruit freshness identification method, device and system are suitable for the technical field of quality detection using wireless sensors.

Description

technical field [0001] The invention relates to the technical field of quality detection by using wireless sensors, in particular to a fruit freshness recognition method, device and system based on odor information BP neural fuzzy recognition. Background technique [0002] After the fruit is harvested, its living environment has undergone a fundamental change. It loses the nutrient supply from the tree and needs to rely on its own nutrients to maintain life activities. If it has good storage conditions, it can maintain its vitality and prolong its lifespan. . At present, China's fruit processing industry and tens of thousands of families lack awareness, facilities, and methods of fruit storage and preservation. In many cases, no fresh-keeping measures are taken, and they are randomly piled up on roadsides, yards and other places. In the case of poor storage environment, the fruit is more likely to rot and deteriorate, which seriously affects the flavor, nutritional value an...

AI Technical Summary

Problems solved by technology

Although there have been some researches on fruit quality detection at home and abroad, most of them are contact measurements, which have great limitations and low accuracy.

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