期刊
FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT
卷 17, 期 -, 页码 412-419出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2013.05.053
关键词
Image processing; pattern recognition; RGB model; CIELAB color space; neural networks; olive harvesting
A new method for olive fruit recognition is presented. Olive fruits size and weight are used for estimating the best harvesting moment of olive trees. Olive fruit recognition is performed by analyzing RGB images taken from olive trees. The harvesting decision comprehends two stages, the first stage focused on deciding whether or not the candidate identified M the picture corresponds to an olive fruit, and the second stage focused on olives overlapping in the pictures. The analyses required in these two stages are performed by implementing a neural networks solution approach. (C) 2013 The Authors. Published by Elsevier B.V.
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