Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction

Abstract

Three-dimensional (3D) computer-generated models of plants are urgently needed to support both phenotyping and simulation-based studies such as photosynthesis modeling. However, the construction of accurate 3D plant models is challenging, as plants are complex objects with an intricate leaf structure, often consisting of thin and highly reflective surfaces that vary in shape and size, forming dense, complex, crowded scenes. We address these issues within an image-based method by taking an active vision approach, one that investigates the scene to intelligently capture images, to image acquisition. Rather than use the same camera positions for all plants, our technique is to acquire the images needed to reconstruct the target plant, tuning camera placement to match the plant's individual structure. Our method also combines volumetric- and surface-based reconstruction methods and determines the necessary images based on the analysis of voxel clusters. We describe a fully automatic plant modeling/phenotyping cell (or module) comprising a six-axis robot and a high-precision turntable. By using a standard color camera, we overcome the difficulties associated with laser-based plant reconstruction methods. The 3D models produced are compared with those obtained from fixed cameras and evaluated by comparison with data obtained by x-ray microcomputed tomography across different plant structures. Our results show that our method is successful in improving the accuracy and quality of data obtained from a variety of plant types.

Plant phenotyping relevance

植物の3D形態を取得・再構成する画像ベースの自動フェノタイピングセルを開発し、固定カメラおよびX線マイクロCTと比較検証しているため、方法が研究の中心である。

Code and data availability

The supplied blocks describe the active vision cell, experiments on bromeliad/aloe/cordyline, and results tables, but contain no public phenotype dataset, image collection, author code repository, or trained model with an availability statement. The only URLs present (wbgu.de and edepot.wur.nl) are cited prior-work参考文献

No evidence-backed public reproduction asset is currently recorded.