Plants in computer vision
Edited by: Dr Hannah Dee
An article collection in Plant Methods.
New methods in plant biology have led to an explosion in data types and methods of data acquisition, and much of this data is image- or video- based in nature. Computer vision, image analysis and image processing techniques are being applied to more plant data than ever before.
Inspired by the BVMA Technical Meeting: Plants in Computer Vision, this Plant Methods article collection showcases original work on the boundary between computer vision and plant science; specifically concentrating on computer algorithms, methods and systems which analyse plant images, videos and scans.
This collection includes work on plant detection, segmentation and modelling from image data, at many different scales (from microscopic images up to field scale measurements). Some articles describe complete software, ready for biologists to use today. Other articles explore algorithm development, pointing the way towards future software capabilities.
This collection of articles has not been sponsored and articles have undergone the journal's standard peer-review process overseen by the Editors. The Editors declare no competing interests.