Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion.

ABSTRACT:

Background

Verticillium wilt is the major disease of cotton, which would cause serious yield reduction and economic losses, and the identification of cotton verticillium wilt is of great significance to cotton research. However, the traditional method is still manual, which is subjective, inefficient, and labor-intensive, and therefore, this study has proposed a novel method for cotton verticillium wilt identification based on spectral and image feature fusion. The cotton hyper-spectral images have been collected, while the regions of interest (ROI) have been extracted as samples including 499 healthy leaves and 498 diseased leaves, and the average spectral information and RGB image of each sample were obtained. In spectral feature processing, the preprocessing methods including Sa

SUBMITTER: Lu Z 

PROVIDER: S-EPMC10385904 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature