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.
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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: firstname.lastname@example.org