Apple moldy core discriminating model based on BP neural network of single-chip microcomputer and establishment method of model

Abstract

The invention relates to an apple moldy core discriminating model based on BP neural network of a single-chip microcomputer. A formula of the model is M=-0.8350*y1-2.6581*y2+0.9930*y3, and when M is lower than 0, a moldy core exists in an apple. The invention also provides an establishment method and principle of the model. Establishment of the model completely relies on the obtained voltage value and diameter of the apple and software and hardware design of core devices including LED, MSP430 processor and photodiode, detection equipment is mini and low in cost, the detection precision is high, apples with diseases can be timely and accurately sorted when the apples are warehoused, the moldy core pathogen is prevented from invasion in large area, the incidence of disease is effectively reduced in the apple storage process, the model and method are characterized by low cost, simple operation, stable and reliable operation and high disease discrimination precision, the method can be used to grade apples in the production line, and the method can be also applied to rapid lossless quality detection of other fruits.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and in particular relates to a single-chip microcomputer-based BP neural network apple mold core disease discrimination model and a method for establishing the same. Background technique [0002] Apple moldy heart disease, also known as heart rot, is the main disease that endangers the internal quality of apples. In recent years, the incidence rate of red Fuji apples is generally high, and the general incidence rate is about 21%. Especially, the incidence rate of bagged red Fuji apples is as high as 43.5%. -79.5%. The main period for the onset of apple moldy heart disease is the ripening and storage period of the fruit. Most of the early and mid-ripening apples cannot be distinguished from the appearance after they are ripe and harvested, but the diseased fruits that enter the market or in the hands of consumers cannot be eaten; after the late-maturing varieties enter the fruit bank, they wi...

AI Technical Summary

Problems solved by technology

[0003] At present, there are few researches on the detection methods of apple moldy heart disease. The technology is mainly based on the principles of apple's bio-impedance characteristics, light characteristics and machine vision characteristics. Among them, the bio-impedance characteristics involve many input parameters; the light characteristics mostly use full-band light sources. The detection method combined with the spectrometer contains a lot of redundant information and the system cost is high; the machine vision detection and analysis process is complex and time-consuming, and there is currently no suitable detection instrument for the detection of mold core disease

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