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  • 1 Instituto Valenciano de Investigaciones Agrarias Centro de Agroingeniería Cra. Moncada-Naquera, Km. 5 46113 Moncada Spain
  • | 2 Universidad Politécnica de Valencia Instituto en Bioingeniería y Tecnología Orientada al Ser Humano Camino de Vera s/n 46022 Valencia Spain
  • | 3 Universidad Nacional de Colombia — Sede Bogotá Departamento de Ingeniería Civil y Agrícola Cr. 30 No. 45-03, Edificio 214, Oficina 206 Bogotá Colombia
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The best alternative for reducing citrus production costs is mechanization. Machine vision is a reliable technology for the automatic inspection of fresh fruits and vegetables that can be adapted to harvesting machines. In these, fruits can be inspected before sending them to the packinghouse and machine vision provides important information for subsequent processing and avoids spending further resources in non-marketable fruit. The present work describes a computer vision system installed on a harvesting machine developed jointly by IVIA and a Spanish enterprise. In this machine, hand pickers directly drop the fruit as they collect it, which results in an important increase of productivity. The machine vision system is placed over rollers in order to inspect the produce, and separate those that can be directly sent to the fresh market from those that do not meet minimal quality requirements but can be used by the processing industry, based on color, size and the presence of surface damages. The system was tested under field conditions.

  • Baeten, J., Donné, K., Boedrij, S., Beckers, W. and Claesen, E. (2008) Autonomous fruit picking machine: a robotic apple harvester. Tracks in Advanced Robotics 42: 531–539.

    Claesen E. , 'Autonomous fruit picking machine: a robotic apple harvester ' (2008 ) 42 Tracks in Advanced Robotics : 531 -539.

    • Search Google Scholar
  • Blasco, J., Aleixos, N., Roger, J. M., Rabatel, G. and Moltó, E. (2002) Robotic weed control using machine vision. Biosystems Engineering 83(2): 149–157.

    Moltó E. , 'Robotic weed control using machine vision ' (2002 ) 83 Biosystems Engineering : 149 -157.

    • Search Google Scholar
  • Brown, G.K. (2002) New mechanical harvesters for the Florida citrus juice industry. Hort Technology 15: 69–72.

    Brown G.K. , 'New mechanical harvesters for the Florida citrus juice industry ' (2002 ) 15 Hort Technology : 69 -72.

    • Search Google Scholar
  • Coppock, G. E. and Jutras, P. J. (1960) An investigation of the mobile picker’s platform approach. To partial mechanization of citrus fruit picking. Florida State Horticultural Society, 73: 258–263.

    Jutras P. J. , 'An investigation of the mobile picker’s platform approach. To partial mechanization of citrus fruit picking ' (1960 ) 73 Florida State Horticultural Society : 258 -263.

    • Search Google Scholar
  • Cubero, S., Aleixos, N., Moltó, E., Gómez-Sanchis, J. and Blasco, J. (2010) Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables. Food and Bioprocess Technology DOI 10.1007/s11947-010-0411-8: In press.

  • Edan, Y., Rogozin, D., Flash, T. and Miles, G. E. (2000) Robotic melon harvesting. IEEE Transactions on Robotics and Automation 16(6): 831–834.

    Miles G. E. , 'Robotic melon harvesting ' (2000 ) 16 IEEE Transactions on Robotics and Automation : 831 -834.

    • Search Google Scholar
  • Freeman, H. (1961) On the encoding of arbitrary geometric configurations. IEEE Trans. Elect. Computers EC-10: 260–268

    Freeman H. , 'On the encoding of arbitrary geometric configurations ' (1961 ) EC-10 IEEE Trans. Elect. Computers : 260 -268.

    • Search Google Scholar
  • Jiménez-Cuesta, M., Cuquerella, J. and Martínez-Jávega, J. M. (1981) Determination of a color index for citrus fruit degreening. In: Proceedings of the International Society of Citriculture, (2), 750–753.

  • Jutras, P. J. and Coppock, G. E. (1958) Mechanization of citrus fruit picking. Florida State Horticultural Society, 71: 201–204

    Coppock G. E. , 'Mechanization of citrus fruit picking ' (1958 ) 71 Florida State Horticultural Society : 201 -204.

    • Search Google Scholar
  • Muscato, G., Prestifilippo, M. Abbate, N. and Rizzuto, I. (2005) A prototype of an orange picking robot: past history and experimental results. Industrial Robot 32(2): 128–138.

    Rizzuto I. , 'A prototype of an orange picking robot: past history and experimental results ' (2005 ) 32 Industrial Robot : 128 -138.

    • Search Google Scholar
  • Ruiz-Altisent, M., Ortiz-Cañavate, J. and Valero, C. (2007) Fruit and vegetables harvesting systems. In: Production practices and quality assessment of food crops, Vol. 1: preharvest practice, ed. Ramdane Dris and Shri Mohan Jain, 261–285.

  • Scarfe, A., Flemmer, R., Bakker, H. and Flemmer, C. (2009) Development of an autonomous kiwifruit picking robot. In: Proc. of the 4th International Conference on Autonomous Robots and Agents (ICARA 2009), 380–384. Wellington, USA.

 

 

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Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu

Indexing and Abstracting Services:

  • SCOPUS
  • CABI

2020  
Scimago
H-index
8
Scimago
Journal Rank
0,197
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q3
Mechanical Engineering Q4
Scopus
Cite Score
33/69=0,5
Scopus
Cite Score Rank
Environmental Engineering 126/146 (Q4)
Industrial and Manufacturing Engineering 269/336 (Q3)
Mechanical Engineering 512/596 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
53
Scopus
Documents
41
Days from submission to acceptance 122
Days from acceptance to publication 40
Acceptance rate 86%

 

2019  
Scimago
H-index
6
Scimago
Journal Rank
0,123
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q4
Mechanical Engineering Q4
Scopus
Cite Score
18/33=0,5
Scopus
Cite Score Rank
Environmental Engineering 108/132 (Q4)
Industrial and Manufacturing Engineering 242/340 (Q3)
Mechanical Engineering 481/585 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
13
Scopus
Documents
5

 

Progress in Agricultural Engineering Sciences
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Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation
2004
Publication
Programme
2021 Volume 17
Volumes
per Year
1
Issues
per Year
1
Founder Magyar Tudományos Akadémia  
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

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