Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing

Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing

Abstract A small object Lentinus Edodes logs contamination detection method (SRW-YOLO) based on improved YOLOv7 in edge-cloud computing environment was proposed to address the problem of the difficulty in the detection of small object contaminated areas of Lentinula Edodes logs. First, the SPD (spac...

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Bibliographic Details
Main Authors: Xuefei Chen, Shouxin Sun, Chao Chen, Xinlong Song, Qiulan Wu, Feng Zhang
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Lentinula Edodes logs
Contamination detection
Mobile edge computing
Cloud computing
Small object detection
Online Access:https://doi.org/10.1186/s13677-023-00580-x

Internet

https://doi.org/10.1186/s13677-023-00580-x

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