Extraction of 3D distribution of potato plant CWSI based on thermal infrared image and binocular stereovision system.

ABSTRACT: As the largest component of crops, water has an important impact on the growth and development of crops. Timely, rapid, continuous, and non-destructive detection of crop water stress status is crucial for crop water-saving irrigation, production, and breeding. Indices based on leaf or canopy temperature acquired by thermal imaging are widely used for crop water stress diagnosis. However, most studies fail to achieve high-throughput, continuous water stress detection and mostly focus on two-dimension measurements. This study developed a low-cost three-dimension (3D) motion robotic system, which is equipped with a designed 3D imaging system to automatically collect potato plant data, including thermal and binocular RGB data. A method is developed to obtain 3D plant fusion point cloud with de

SUBMITTER: Wang L 

PROVIDER: S-EPMC9903339 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature