Image-based unmanned vehicle for farm fruit detection

Jiayun Zou

doi:10.1117/12.3034779

11 July 2024 Image-based unmanned vehicle for farm fruit detection

Jiayun Zou

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321031 (2024) https://doi.org/10.1117/12.3034779
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

This paper describes an unmanned vehicle designed based on RTK precise positioning as well as visual image processing techniques. the whole system consists of a high-performance microcontroller (STM32H7), NVIDIA artificial intelligence board (Jetson nano), Gyroscope, GPS/RTK module, camera module, video camera and laptop. And based on the Qt Creator platform using C++ language to develop a set of data reception (navigation data, visual data), navigation path planning solution, human-computer interaction of the host computer software, and in the cloud platform to develop a set of user management system. The car through the fixed-speed cruise, according to the designated route to travel along the road fruit sample matching, judging fruit ripeness, fruit quality and GPS information, fruit information, etc. reported to the host computer for the agricultural intelligence unmanned detection program.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiayun Zou "Image-based unmanned vehicle for farm fruit detection", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321031 (11 July 2024); https://doi.org/10.1117/12.3034779

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