Preliminary research on the identification system for anthracnose and powdery mildew of sandalwood leaf based on image processing.

ABSTRACT: This paper presents a survey on a system that uses digital image processing techniques to identify anthracnose and powdery mildew diseases of sandalwood from digital images. Our main objective is researching the most suitable identification technology for the anthracnose and powdery mildew diseases of the sandalwood leaf, which provides algorithmic support for the real-time machine judgment of the health status and disease level of sandalwood. We conducted real-time monitoring of Hainan sandalwood leaves with varying severity levels of anthracnose and powdery mildew beginning in March 2014. We used image segmentation, feature extraction and digital image classification and recognition technology to carry out a comparative experimental study for the image analysis of powdery mildew, anthrac

SUBMITTER: Wu C 

PROVIDER: S-EPMC5531471 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature