Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging.

ABSTRACT: Detection and monitoring are the first essential step for effective management of sheath blight (ShB), a major disease in rice worldwide. Unmanned aerial systems have a high potential of being utilized to improve this detection process since they can reduce the time needed for scouting for the disease at a field scale, and are affordable and user-friendly in operation. In this study, a commercialized quadrotor unmanned aerial vehicle (UAV), equipped with digital and multispectral cameras, was used to capture imagery data of research plots with 67 rice cultivars and elite lines. Collected imagery data were then processed and analyzed to characterize the development of ShB and quantify different levels of the disease in the field. Through color features extraction and color space transformat

SUBMITTER: Zhang D 

PROVIDER: S-EPMC5945033 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature