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...

Full description

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/

Internet

https://ieeexplore.ieee.org/document/8847623/

Similar Items