Towards Huanglongbing In-field detection system with AI edge computing

Xuefeng Rao; Quanyou Zhao; Dingming Huang

doi:10.1117/12.3014425

9 January 2024 Towards Huanglongbing In-field detection system with AI edge computing

Xuefeng Rao, Quanyou Zhao, Dingming Huang

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129690P (2024) https://doi.org/10.1117/12.3014425
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

To address the low efficiency of manual inspection methods used for Citrus Huanglongbing prevention and control, a system design of citrus huanglongbing in-field detection with AI edge computing device is proposed and evaluated. The system consist of Image Capture Robotic Devices, AI Edge Computing Service, Cloud Service, and Remote Control Client. A citrus Huanglongbing detection neural network model was trained with 84.1%mAP, which can be deployed on an AI edge computing device, such as Jetson Nano to detect HLB with lower delay than using a cloud-based AI approach. Therefore, robotic devices such as UAVs, surveillance cameras can be used to efficiently inspect citrus orchard, process images of citrus leaves collected from cameras in real-time. Experimental result shows that this system has great potential to apply on Citrus Huanglongbing field detection scenario to enhance the inspection efficiency of citrus orchards.

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

Citation Download Citation

Xuefeng Rao, Quanyou Zhao, and Dingming Huang "Towards Huanglongbing In-field detection system with AI edge computing", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129690P (9 January 2024); https://doi.org/10.1117/12.3014425

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available