Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion

Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion

In this paper, a method for detecting rapid rice disease based on FCM-KM and Faster R-CNN fusion is proposed to address various problems with the rice disease images, such as noise, blurred image edge, large background interference and low detection accuracy. Firstly, the method uses a two-dimension...

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Bibliographic Details
Main Authors:	Guoxiong Zhou, Wenzhuo Zhang, Aibin Chen, Mingfang He, Xueshuo Ma
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Chaos theory faster R-CNN firefly algorithm Otsu threshold segmentation K-means clustering algorithm rice disease detection
Online Access:	https://ieeexplore.ieee.org/document/8847623/

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