Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting Systems

Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting Systems

In this paper, we presents a case study involving the implementation experience and a methodological framework through a comprehensive comparative analysis of the YOLOX and YOLOv12 object detection models for agricultural automation systems deployed in the Jetson AGX Orin edge computing platform. We...

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Bibliographic Details
Main Authors: Joonam Kim, Giryeon Kim, Rena Yoshitoshi, Kenichi Tokuda
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
object detection
agricultural automation
edge computing
YOLOX
YOLOv12
potato harvesting
Online Access:https://www.mdpi.com/1424-8220/25/15/4586
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