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...

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Bibliographic Details

Published in:	2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA) pp. 1 - 6
Main Authors:	Kamaruzaman, Asf, Farid, Mahm, Izhar, Che Ani Adi, Maruzuki, Mif, S, Ahmad, Habibi, Muhammad Afnan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25-10-2022
Subjects:	Deep learning Detectors fig Location awareness Measurement Software target detection Tin Training YOLOv3 YOLOv4
Online Access:	Get full text
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