Prediction method of hardness of mango after impact damage based on hyperspectral

Abstract

The invention discloses a rigid prediction method of mangoes after impact damage based on hyper-spectrum. The rigid prediction method comprises the steps that firstly, mango samples are divided into acomparison group (undamaged) and an experimental group (damaged), and the samples of the experimental group are placed at three different heights of a drop test machine respectively and fall free togenerate impact damage; then a hyper-spectrum imaging system is adopted for collecting spectrum images of the samples, and meanwhile a physical property analyzer is adopted for measuring and analyzingthe rigid value of sample pulp; finally a spectrum pre-treatment method, a characteristic wavelength extraction method and a statistical method are combined to build a pulp rigid prediction model, and the pulp rigid prediction model is applied to rigid prediction of the mangoes after impact damage. The rigid prediction method of mangoes effectively detects the change of rigid value of the mangoesafter impact damage based on a hyper-spectrum imaging technology and a mathematical modeling technology, has the advantages of no damage, quickness, accuracy and the like and can provide an importantmeans for revealing of fruit damage mechanism and no-damage evaluation of mechanical fruit damage.

Description

technical field [0001] The invention relates to a method for predicting the hardness value of mango pulp based on hyperspectrum, in particular to a method for predicting the hardness of mango after impact damage based on hyperspectrum. Background technique [0002] Based on the important economic value, the output of mango occupies an important position in tropical and subtropical regions, but there are many factors that affect the post-harvest quality of mango. Mechanical damage is one of the factors that cannot be ignored. Mangoes are very prone to mechanical damage during harvesting, transportation, packaging, etc., such as impact, abrasion, puncture, etc., resulting in a corresponding decline in post-harvest quality. Studies have shown that once the fruit is damaged, its physiological changes are significant, manifested in the production of ethylene, respiration, transpiration, etc., which will accelerate the ripening of the fruit during storage. The firmness of the pu...

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Problems solved by technology

Furthermore, existing studies have demonstrated the potential of near-infrared spectral imaging for the non-destructive detection of mango quality parameters, but there have been no public reports on the use of hyperspectral imaging

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