Abstract
In recent years, there has been significant progress in computer vision based plant phenotyping technologies. Due to their non-invasive and non-contact properties, imaging techniques are becoming state of the art in automated plant phenotyping analysis. There are several aspects of phenotyping, including plant growth, organ classification and tracking, disease detection, etc. This chapter presents a broad overview of computer vision based 3D plant phenotyping techniques. Some case studies of state-of-the-art techniques are described in detail. In the first case study, automated robotic systems for 3D plant phenotyping are discussed. The second study focuses on general registration techniques of point cloud and alignment of multiple view challenging plant point cloud data. Next, recently successful plant organ segmentation techniques are reviewed. Finally, some open challenges of vision-based plant phenotyping are discussed, followed by conclusion and some hands on exercises.
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