Fruit quality detection method based on machine learning

Abstract

The invention discloses a fruit quality detection method based on machine learning, and belongs to the technical field of big data. A sensor establishing unit, an acquisition unit and an upper computer are included, the upper computer establishes a training set and a test set according to principal component sample gas data, the upper host carries out analysis and dimension reduction on the principal component sample gas data in the training set, a KNN algorithm is used to trim the training set, SVM is used for training to obtain a training model, and the principal component sample gas data inthe test set is classified according to the training model. The technical problem in fruit quality detection based on machine learning and gas data is solved, a flow guide plate is added to the sensor unit to solve the problem of airflow instability, a hardware object combining a machine learning method and embedded equipment is applied, fruit quality detection is conducted according to fruit gasdata, the detection steps are simple, installation is easy, and the fruit quality detection device is suitable for various fruit storage environments.

Description

technical field [0001] The invention belongs to the field of big data technology, in particular to a machine learning-based fruit quality detection method. Background technique [0002] At present, most of my country's near-infrared detection equipment comes from imports, and imported instruments include two types: [0003] (1) Large-scale testing equipment used in the laboratory. This kind of testing equipment is generally expensive, bulky, and the testing operation process is cumbersome, and the environmental requirements for the experiment are also relatively high. [0004] (2) When fruit processing enterprises process fruit, they need to carry out quality judgment and testing equipment for the fruit. Miniaturized testing equipment has only been invented in recent years, but it is rare, and most of them are also designed for use by researchers. Suitable for large-scale promotion at low prices. [0005] In recent years, in order to reduce the cost of the instrument, real...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for detecting fruit quality based on machine learning, which solves the technical problems of fruit quality detection based on machine learning and gas data

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