Fruit Detection and Recognition Using Faster R-CNN with FPN30 Pre-trained Network

Fruit Detection and Recognition Using Faster R-CNN with FPN30 Pre-trained Network

Accurate and reliable fruit detection and recognition in orchards is critical for enabling higher-level agriculture tasks such as fruit picking. However, detecting and recognizing fruits with occlusion by neighboring fruits is extremely difficult. Faster R-CNN (Faster Region-based Convolutional Neur...

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Bibliographic Details
Published in:8th International Conference on Recent Advances and Innovations in Engineering: Empowering Computing, Analytics, and Engineering Through Digital Innovation, ICRAIE 2023
Main Author: Roslan M.I.; Ibrahim Z.; Adnan N.A.K.; Diah N.M.; Narawi N.A.A.; Arif Y.M.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189941080&doi=10.1109%2fICRAIE59459.2023.10468169&partnerID=40&md5=1508755d6c78027cd39afff22ecc3388

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189941080&doi=10.1109%2fICRAIE59459.2023.10468169&partnerID=40&md5=1508755d6c78027cd39afff22ecc3388

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