Abstract
In plant phenotyping, there is a demand for high-throughput, non-destructive systems that can accurately analyse various plant traits by measuring features such as plant volume, leaf area, and stem length. Existing vision-based systems either focus on speed using 2D imaging, which is consequently inaccurate, or on accuracy using time-consuming 3D methods. In this paper, we present a computer-vision system for seedling phenotyping that combines best of both approaches by utilizing a fast three-dimensional (3D) reconstruction method. We developed image processing methods for the identification and segmentation of plant organs (stem and leaf) from the 3D plant model. Various measurements of plant features such as plant volume, leaf area, and stem length are estimated based on these plant segments. We evaluate the accuracy of our system by comparing the measurements of our methods with ground truth measurements obtained destructively by hand. The results indicate that the proposed system is very promising.
Highlights
Common morphological plant traits of interest include parameters such as main-stem height, size and inclination, petiolePlant phenotyping is the set of methodologies and protocols used to measure plant growth, architecture, and composition with a certain accuracy and precision at different scales of organization, from organs to canopies [3]
We focus on high-throughput, non-invasive and non-destructive seedling phenotyping from a complete 3D plant model
We presented methods to measure specific features of a seedling based on a 3D reconstruction of the plant
Summary
Plant phenotyping is the set of methodologies and protocols used to measure plant growth, architecture, and composition with a certain accuracy and precision at different scales of organization, from organs to canopies [3]. The plant phenotype includes complex plant traits that are assessed through measurement of the root morphology, biomass, leaf characteristics, fruit characteristics, yield-related traits, photosynthetic efficiency, and biotic and abiotic stress response [4]. Phenotyping is addressed by combining novel technologies such as non-invasive imaging, spectroscopy, image analysis, robotics and high-performance computing [1]. Measurement are performed using two-dimensional (2D) images or 3D models. Some non-invasive phenotyping systems make use of 2D hyperspectral imaging such as HyperART [6], or systems for measurement of structural parameters of plant canopies [7,8]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
