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) 42Tracks in Advanced Robotics: 531-539.
Claesen E.Autonomous fruit picking machine: a robotic apple harvesterTracks in Advanced Robotics200842531539)| false
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) 16IEEE Transactions on Robotics and Automation: 831-834.
Miles G. E.Robotic melon harvestingIEEE Transactions on Robotics and Automation200016831834)| false
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) 71Florida State Horticultural Society: 201-204.
Coppock G. E.Mechanization of citrus fruit pickingFlorida State Horticultural Society195871201204)| false
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.
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)
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: email@example.com