WO2012074372A3 - A system for fruit grading and quality determination - Google Patents

A system for fruit grading and quality determination Download PDF

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Publication number
WO2012074372A3
WO2012074372A3 PCT/MY2011/000237 MY2011000237W WO2012074372A3 WO 2012074372 A3 WO2012074372 A3 WO 2012074372A3 MY 2011000237 W MY2011000237 W MY 2011000237W WO 2012074372 A3 WO2012074372 A3 WO 2012074372A3
Authority
WO
WIPO (PCT)
Prior art keywords
quality determination
fruit
processing unit
spectral camera
fruit grading
Prior art date
Application number
PCT/MY2011/000237
Other languages
French (fr)
Other versions
WO2012074372A2 (en
Inventor
Abdul Rashid Mohamed Shariff
Ahmad Rodzi Mahmud
Helmi Zulhaidi Mohd
Osama Mohamed Saeed
Mohd Din Amiruddin
Original Assignee
Universiti Putra Malaysia (Upm)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Universiti Putra Malaysia (Upm) filed Critical Universiti Putra Malaysia (Upm)
Priority to BR112013013330A priority Critical patent/BR112013013330A2/en
Publication of WO2012074372A2 publication Critical patent/WO2012074372A2/en
Publication of WO2012074372A3 publication Critical patent/WO2012074372A3/en

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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 groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G01N33/025—Fruits or vegetables
    • 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 sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
    • 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 sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/85—Investigating moving fluids or granular solids

Landscapes

  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

A system for fruit grading and quality determination characterized in that, the system (10) includes: a) housing (12) with an enclosure ( 12a) for scanning process; b) an illumination means (14) to provide shadow free illumination; c) a spectral camera ( 16) equipped with hyperspectral scanner together with a suitable charge-coupled device (CCD) array for capturing fruit sample's image; d) a conveying means ( 18) to provide scanning platform to the system; e) a processing unit (20) to process and analyze the fruit sample image; and e) a data acquisition interface (22) provided in between the spectral camera (16) and the processing unit (20); wherein the system utilizes hyperspectral imaging technology for agricultural product and quality inspections.
PCT/MY2011/000237 2010-11-30 2011-11-25 A system for fruit grading and quality determination WO2012074372A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
BR112013013330A BR112013013330A2 (en) 2010-11-30 2011-11-25 fruit grading and quality determination system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI2010700086A MY164318A (en) 2010-11-30 2010-11-30 A system for fruit grading and quality determination
MYPI2010700086 2010-11-30

Publications (2)

Publication Number Publication Date
WO2012074372A2 WO2012074372A2 (en) 2012-06-07
WO2012074372A3 true WO2012074372A3 (en) 2012-10-11

Family

ID=46172442

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/MY2011/000237 WO2012074372A2 (en) 2010-11-30 2011-11-25 A system for fruit grading and quality determination

Country Status (3)

Country Link
BR (1) BR112013013330A2 (en)
MY (1) MY164318A (en)
WO (1) WO2012074372A2 (en)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2445245B1 (en) * 2012-08-28 2014-12-11 Universidad De Extremadura Cell for fruit quality control through an intelligent multispectral vision system and robotic system
US9909978B2 (en) 2016-07-05 2018-03-06 Sharp Kabushiki Kaisha Maturity determination device and maturity determination method
US10304179B2 (en) 2016-07-05 2019-05-28 Sharp Kabushiki Kaisha Maturity determination device and maturity determination method
JP2018025548A (en) 2016-08-10 2018-02-15 シャープ株式会社 Fruit harvester and fruit harvesting method
CN106525732B (en) * 2016-10-25 2021-08-17 沈阳农业大学 Rapid nondestructive detection method for internal and external quality of apple based on hyperspectral imaging technology
CN107247957A (en) * 2016-12-16 2017-10-13 广州中国科学院先进技术研究所 A kind of intelligent agricultural product sorting technique and system based on deep learning and cloud computing
US10902581B2 (en) 2017-06-19 2021-01-26 Apeel Technology, Inc. System and method for hyperspectral image processing to identify foreign object
US10902577B2 (en) 2017-06-19 2021-01-26 Apeel Technology, Inc. System and method for hyperspectral image processing to identify object
CN107505325B (en) * 2017-08-18 2023-04-25 西北农林科技大学 Omnibearing quality detection method for winter jujube fruits
CN108372133A (en) * 2018-05-16 2018-08-07 江西农业大学 A kind of EO-1 hyperion automatic fruit non-destructive testing sorting equipment
CN109406414A (en) * 2018-10-31 2019-03-01 中国中医科学院中药研究所 Method based on vanilla acid content in high light spectrum image-forming technology prediction fructus lycii
WO2021010817A1 (en) 2019-07-12 2021-01-21 Sime Darby Plantation Intellectual Property Sdn. Bhd. Apparatus to measure ripeness of oil palm fruitlets via real-time chlorophyll content measurement
CN111076670B (en) * 2019-12-03 2021-06-08 北京京仪仪器仪表研究总院有限公司 Online nondestructive testing method for internal and external quality of apples
CN112858192A (en) * 2021-01-11 2021-05-28 中科谱光(郑州)应用科学技术研究院有限公司 Quality grading algorithm based on wormwood hyperspectral data
EP4137813A1 (en) * 2021-08-20 2023-02-22 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. System and method for the automatic quality testing of fruit and vegetables and other foodstuffs
CN114112932B (en) * 2021-11-08 2024-09-20 南京林业大学 Deep learning-based hyperspectral detection method and sorting equipment for ripeness degree of oil tea fruits
CN114935554B (en) * 2022-03-25 2024-09-13 华东师范大学 Spectral scanning teaching aid for sweetness of fruits
CN114419311B (en) * 2022-03-29 2022-07-01 武汉轻工大学 Multi-source information-based passion fruit maturity nondestructive testing method and device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008041124A1 (en) * 2006-10-06 2008-04-10 Sacmi Cooperativa Meccanici Imola Societa' Cooperativa A method and device for quality inspection of vegetable produce
US20090185182A1 (en) * 2007-04-25 2009-07-23 Kim Moon S Simultaneous Acquisition of Fluorescence and Reflectance Imaging Techniques with a Single Imaging Device for Multitask Inspection

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008041124A1 (en) * 2006-10-06 2008-04-10 Sacmi Cooperativa Meccanici Imola Societa' Cooperativa A method and device for quality inspection of vegetable produce
US20090185182A1 (en) * 2007-04-25 2009-07-23 Kim Moon S Simultaneous Acquisition of Fluorescence and Reflectance Imaging Techniques with a Single Imaging Device for Multitask Inspection

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ALAN M. LEFCOUT ET AL.: "Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples", COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 54, no. IS. 1, October 2006 (2006-10-01), pages 22 - 35 *
BART M. NICOLAI ET AL.: "Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging", POSTHARVEST BIOLOGY AND TECHNOLOGY, vol. 40, no. ISSUE, April 2006 (2006-04-01), pages 1 - 6 *
OSAMA M. BEN SAAED ET AL.: "Hyperspectral Technique System for Fruit Quality Determination", MAP ASIA 2010 & ISG 2010, 26 July 2010 (2010-07-26), pages 1 - 15 *

Also Published As

Publication number Publication date
MY164318A (en) 2017-12-15
BR112013013330A2 (en) 2016-09-13
WO2012074372A2 (en) 2012-06-07

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