Comparisons of Neural Networks Using Computer Vision for Agricultural Automation-Reference-Cited by-同舟云学术

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Comparisons of Neural Networks Using Computer Vision for Agricultural Automation

Published:2023-11-22 Issue: Volume: Page:466-470
ISSN:
Container-title:2023 15th IEEE International Conference on Industry Applications (INDUSCON)
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Author:

Avila Renato¹,Kitani Edson²,De Assis Zampirolli Francisco¹,Yoshioka Leopoldo³,Celiberto Luiz Antonio²,Ibusuki Ugo²

Affiliation:

1. Universidade Federal do ABC,Santo André,Brasil

2. FATEC,Santo André,Brasil

3. Universidade de São Paulo,São Paulo,Brasil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10374478/10374482/10374617.pdf?arnumber=10374617

Reference12 articles.

1. Comparison of the YOLOv3 and SSD MobileNet v2 Algorithms for Identifying Objects in Images from an Indoor Robotics Dataset

2. Benchmark Analysis of Representative Deep Neural Network Architectures

3. Modelling and Control Strategies in Path Tracking Control for Autonomous Ground Vehicles: A Review of State of the Art and Challenges

4. Comparação de Métodos de Deep Learning Pré-Treinados da Biblioteca OpenCV para Detecção de Pessoas em Ambientes Internos

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Recent Hardware and Software Advances in GPU-Accelerated Edge-Computing Single-Board Computers (SBCs) for Computer Vision;Sensors;2024-07-25

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