A fast monitoring and processing method for establishing orchard data
A technique for processing methods and data, applied in the measurement of color/spectral properties, etc.
Active Publication Date: 2021-05-04
TARIM UNIV
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Problems solved by technology
[0004] At present, there is no set of methods and technologies for rapid processing of massive data such as data collection, processing, and feature extraction for the quality of jujubes and other fruits in orchards.
Method used
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Embodiment 1
[0048] Embodiment 1 (Jujube garden in southern Xinjiang)
[0049] Taking the jujube gardens of 10 groups and 224 groups as the research objects, the sugar content, acidity, moisture, volume, texture and color of jujube were collected respectively in the white ripe stage, crisp ripe stage and full ripe stage of jujube, and the physical and chemical data of jujube were recorded; The hyperspectral image of jujube whose physical and chemical data has been detected is collected by the imaging spectrometer Zhuo Li Hanguang hyperspectral camera NE17, and the parameters of the standard model are screened, corrected and determined by using computer image processing software and a large amount of physical and chemical data; Influenced by physical and chemical properties and hyperspectral images, the jujubes to be tested were placed in a refrigerated environment and in a room temperature environment, and their physical and chemical data and hyperspectral images were collected respectively...
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The invention discloses a fast monitoring and processing method for establishing orchard data. The method of the present invention includes: detecting the physical and chemical quality of fruit and collecting physical and chemical data; obtaining hyperspectral images of fruits; using processing software related to hyperspectral images to analyze massive hyperspectral images and physical and chemical data, extracting features to establish fruit quality characteristic factors and multi-dimensional optical The standard model corresponding to the parameters; use the neural network algorithm to obtain different feature weights; extract the hyperspectral image of the quality characteristic band, and use the spectral partial correlation to enhance the feature; use the standard model to classify the physical and chemical quality of other fruits to be tested to obtain different components and concentrations Scope refers to classified images, and establishes a feature classified image library; adopts volume holographic correlation recognition technology to store and identify the features of reference classified images, and compares the recognition effects to correct the reference image features and weight coefficients; establish a big data system for orchards to realize massive information in orchards rapid monitoring process.
Description
technical field [0001] The invention relates to the technical field of fast non-destructive detection of agricultural products, in particular to a fast monitoring and processing method for establishing orchard data. Background technique [0002] Jujube is a plant fruit with extremely high nutritional and health care value and medicinal value. It is a health fruit that integrates the three functions of medicine, food and tonic. Xinjiang is one of the main production areas of jujube in my country. Its jujube resources are very rich and there are many kinds of samples. Breeding has continued over the years. The quality of jujube varies greatly among different varieties or even within the same variety, and there is a large amount of information characterizing the quality of jujube. [0003] Modern agriculture has entered the era of big data, and the development of agricultural informatization urgently needs a technology for rapid processing and deep mining of massive growth mo...
Claims
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IPC IPC(8): G01N21/25
Inventor 罗华平郭玲徐爱英陈冲柴学平
Owner TARIM UNIV