Application of Deep Learning for Fig Fruit Detection in the Wild
This paper proposes an appropriate detection approach based on a deep learning methodology to accomplish fast and effective detection and localization of fig fruits in complicated environmental pictures, e.g., in the wild. A dataset is manually created by first taking pictures of fig fruits in their...
| Published in: | 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142424524&doi=10.1109%2feSmarTA56775.2022.9935356&partnerID=40&md5=739797dddcd67d7b45939fd7cc1fdd4f |