An Automatic System for Crop Monitoring and Culture Based on IoRT

https://doi.org/10.31130/ud-jst.2022.504

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Author

  • Tran Dang Khoa Phan
    The University of Danang - University of Science and Technology
    Van Thanh Vu
    The University of Danang - University of Science and Technology

Từ khóa:

IoRT
Deep Learning
Object Detection
YOLOv3
Precision Farming

Tóm tắt

The development of automated farming systems in precision agriculture has been attracting increasing research interest. In this paper, we present an automatic system for crop culture and monitoring based on the Internet of Robotic
Things (IoRT). The system includes: an agricultural farming robot with built-in object detection block based on deep learning to locate and classify plant and weed in the image; a device that monitors the parameters of the soil and air environment. The information from the robot and the monitoring device is combined to help the robot determine the right way to take care of the plants. Technical solutions for each component of the system are fully proposed, implemented and evaluated. The experimental results show that the robot is capable of detecting objects with high accuracy; monitoring equipment operates stably; suitable robot design, allowing precise movement of the actuator to any position in the field of view.

Tài liệu tham khảo

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Dec 31, 2022
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Cách trích dẫn
Dang Khoa Phan, T., và V. Thanh Vu. “An Automatic System for Crop Monitoring and Culture Based on IoRT”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 20, số p.h 12.2, Tháng Chạp 2022, tr 6-12, doi:10.31130/ud-jst.2022.504.

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