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An automatic detection method for fruit surface rot

An automatic detection and fruit technology, applied in the direction of material analysis using radiation diffraction, can solve problems such as fruit surface rot, and achieve strong repeatability.

Active Publication Date: 2021-11-19
珊虎科技(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the difficulty of rapid and automated detection of fruit surface rot lies in the fact that the skin color of early-stage fungal-infected fruits has almost no color difference from normal fruits before the mold grows
Therefore, it is difficult to effectively detect it using traditional RGB machine vision detection methods

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] An automatic detection method for fruit surface rot is characterized in that it comprises the steps of:

[0029] 1) Firstly, carry out training and learning on the fruit, determine the rotten level of the fruit surface by training the fruit, and irradiate each fruit sample with an ion beam. The blue plate hole shoots to the surface of the fruit sample, uses the detector to receive the scattered ions with a scattering angle of 180°, and measures the high-speed pulse signal, sends it to the preamplifier, and sends a stop pulse signal to the timing system to collect the ions of each fruit Characteristic parameters, the characteristic parameters are entered into the system as comparison data; a central database is set in the system;

[0030] 2) To detect the measured fruit, each fruit sample is irradiated with an ion beam. After the ions emitted from the ion source are modulated, after passing through the tube in the center of the detection system, they are irradiated to th...

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Abstract

The invention provides an automatic detection method for fruit surface rot, which comprises the following steps: first, carry out training and learning on fruits, establish a grade model of fruit surface rot, and import characteristic parameters into a database as comparison data; Beam irradiation, use the detector to receive the high-speed pulse signal, transmit it to the amplifier, and accurately monitor the start signal and stop signal through the time measurement system; compare the characteristic parameters of the measured fruit with the comparison data, and predict the fruit surface rot level of the measured fruit number; the detector and the ion source are on the same axis, and the center of the detector has a hole for incident ions to pass through, and the detector is arranged between the ion source and the sample chamber. Since the information of the ion scattering spectrum only comes from the outermost layer of the fruit, the sensitivity is extremely high, so it is possible to analyze the surface composition of the fruit without destroying it. The invention can realize non-destructive testing without manual judgment, is easy to operate and has wide application range.

Description

technical field [0001] The invention relates to the field of non-destructive detection of agricultural products, in particular to an automatic detection method for fruit surface rot. Background technique [0002] Fruit refers to edible plant fruit that is juicy and mainly tastes sweet and sour. Fruits are not only rich in nutrients, but also can promote digestion. Studies have shown that the more rotten the fruit, the higher the Alternaria toxin content, and the farther away from the lesions, the lower the content. If the fruit is mechanically damaged or chilled, as long as it has not been placed for a long time to breed microorganisms, it can still be eaten; for moldy and rotten fruit, if the moldy part is not very serious, dig out 2cm from the lesion, and the remaining part is still fresh. It can be eaten. If the mold is more than one-third or even half of the fruit, it is not suitable for consumption. [0003] The invention with the application number 201310061313.3 pr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N23/20
Inventor 毛浩沈利强高佳
Owner 珊虎科技(上海)有限公司