Nothing Special   »   [go: up one dir, main page]

Khalid et al., 2017 - Google Patents

Non-destructive technique based on specific gravity for post-harvest Mangifera indica L. Cultivar maturity

Khalid et al., 2017

View PDF
Document ID
6940891973623479671
Author
Khalid N
Abdullah A
Shukor S
AS F
Mansor H
Dalila N
Publication year
Publication venue
2017 Asia Modelling Symposium (AMS)

External Links

Snippet

Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L.(Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect …
Continue reading at uksim.info (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/12—Investigating or analysing materials by specific methods not covered by the preceding groups food meat; fish
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/02—Devices for withdrawing samples
    • G01N1/10—Devices for withdrawing samples in the liquid or fluent state
    • G01N1/20—Devices for withdrawing samples in the liquid or fluent state for flowing or falling materials
    • G01N1/2035—Devices for withdrawing samples in the liquid or fluent state for flowing or falling materials by deviating part of a fluid stream, e.g. by drawing-off or tapping
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/025—Fruits or vegetables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/04—Investigating or analysing materials by specific methods not covered by the preceding groups food dairy products
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84—Systems specially adapted for particular applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1463—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals using image analysis for extracting features of the particle

Similar Documents

Publication Publication Date Title
Opara et al. Bruise damage measurement and analysis of fresh horticultural produce—A review
Patel et al. Machine vision system: a tool for quality inspection of food and agricultural products
Vásquez et al. Comparison between artificial neural network and partial least squares regression models for hardness modeling during the ripening process of Swiss-type cheese using spectral profiles
Studman Computers and electronics in postharvest technology—a review
Khalid et al. Non-destructive technique based on specific gravity for post-harvest Mangifera indica L. Cultivar maturity
Wei et al. Rapid and non-destructive detection of decay in peach fruit at the cold environment using a self-developed handheld electronic-nose system
Mansuri et al. Computer vision model for estimating the mass and volume of freshly harvested Thai apple ber (Ziziphus mauritiana L.) and its variation with storage days
Bejo et al. Determination of Chokanan mango sweetness ('Mangifera indica') using non-destructive image processing technique
Ahmed et al. Imaging technologies for nondestructive measurement of internal properties of agricultural products: A review
Kuchekar et al. Rice grain quality grading using digital image processing techniques
Thinh et al. Mango classification system based on machine vision and artificial intelligence
Spetale et al. LocAnalyzer: A computer vision method to count locules in tomato fruits
Gao et al. Non-destructive storage time prediction of newhall navel oranges based on the characteristics of rind oil glands
Xiao et al. Predicting fruit maturity stage dynamically based on fuzzy recognition and color feature
Khairunniza-Bejo et al. Chokanan mango sweetness determination using hsb color space
Bora et al. Application of bio-image analysis for classification of different ripening stages of banana
Thinh et al. Sorting and classification of mangoes based on artificial intelligence
Phate et al. An indirect method to estimate sweet lime weight through machine learning algorithm
Mossad et al. Mass modelling by dimension attributes for Mango (Mangifera indica cv. Zebdia) relevant to post-harvest and food plants engineering
Lee et al. Color quantization and image analysis for automated fruit quality evaluation
Mohd Ali et al. RGB imaging system for monitoring quality changes of seedless watermelon during storage
Faridi et al. Application of machine vision in agricultural products
Thong et al. Mango sorting mechanical system uses machine vision and artificial intelligence
Arendse et al. Non-destructive estimation of pomegranate juice content of intact fruit using X-ray computed tomography
Khalid et al. Specific Gravity-based of Post-harvest Mangifera indica L. cv. Harumanis for ‘Insidious Fruit Rot’(IFR) Detection using Image Processing