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2024 | OriginalPaper | Chapter

A Study on YOLOv4 Algorithm for Harvesting Agriculture Robot

Authors : Sy-Tai Nguyen, Hong-Ky Dang, Tien Duc Nguyen, Hai-Le Bui, Thi Thoa Mac

Published in: Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022)

Publisher: Springer Nature Switzerland

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Abstract

Smart agriculture is understood as agriculture applying high technology, production technology, product safety protection, management technology, product identification in series associated with artificial intelligence system. Key technologies used in smart agriculture applications such as: IoT technology with sensors that collect accurate data on climate, growing conditions, and health of crops/animals; intelligent automation technology with robots and unmanned aerial vehicles gradually replacing humans in farming activities; image processing, artificial intelligence (AI). This paper proposes an improved YOLOv4 algorithm to real-time detect tomato for harvesting agriculture robot in Robot Operating System (ROS). The advantage of this model is the use of the combination of data tomato detection and real experiment system to increase the accuracy. To verify the effectiveness of this method, an actual applications, tomato with different ripeness of tomato in the same area can be detected with the accuracy of 89%.

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Title: A Study on YOLOv4 Algorithm for Harvesting Agriculture Robot
Authors: Sy-Tai Nguyen
Hong-Ky Dang
Tien Duc Nguyen
Hai-Le Bui
Thi Thoa Mac
Publisher: Springer Nature Switzerland
Book: Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022)
Print ISBN: 978-3-031-57459-7

Electronic ISBN: 978-3-031-57460-3

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-57460-3_55

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