Abstract
Image processing techniques on digital systems which are used on agriculture can be evaluated for different aims. For instance; detection of wild herb, to estimate product, to determine ripeness and quality are some of them. The most widely used one is detection of fruits-vegetables. Particularly such image processing techniques are needed for robotic applications in agriculture. For example, identify and locating the fruit/vegetable is a major problem for the collection of fruit/vegetable by a robot. In this work, the aim is to determine the locations of orange and green color fruits, to separate from the leaves and branches in the area.
| Original language | English |
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| Title of host publication | 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509023509 |
| DOIs | |
| Publication status | Published - 26 Sept 2016 |
| Event | 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 - Tianjin, China Duration: 18 Jul 2016 → 20 Jul 2016 |
Publication series
| Name | 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 |
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Conference
| Conference | 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 |
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| Country/Territory | China |
| City | Tianjin |
| Period | 18/07/16 → 20/07/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- clustering
- filtering
- green color fruit detection
- image processing
- orange color fruit detection
- segmentation