An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots

An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots

Nighttime pineapple detection for automated harvesting robots is a significant challenge in intelligent agriculture. As a crucial component of robotic vision systems, accurate fruit detection is essential for round-the-clock operations. The study compared advanced end-to-end style transfer models, i...

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Main Authors: Fengyun Wu, Rong Zhu, Fan Meng, Jiajun Qiu, Xiaopei Yang, Jinhui Li, Xiangjun Zou
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
CycleGAN
deep learning
computer vision
fruit harvesting
Online Access:https://www.mdpi.com/2073-4395/14/12/3002
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