Imaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction

Frontiers in Plant Science
Sébastien DandrifosseBenoît Mercatoris

Abstract

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several challenges to adapt the method to natural field conditions and propose solutions. The plant traits studied were leaf area, mean leaf angle, leaf angle distribution, and canopy height. The experiment took place in a winter wheat, Triticum aestivum L., field dedicated to fertilization trials at Gembloux (Belgium). Images were acquired thanks to two nadir cameras. A machine learning algorithm using RGB and HSV color spaces is proposed to perform soil-plant segmentation robust to light conditions. The matching between images of the two cameras and the leaf area computation was improved if the number of pixels in the image of a scene was binned from 2560 × 2048 to 1280 × 1024 pixels, for a distance of 1 m between the cameras and the canopy. Height descriptors such as median or 95th percentile of plant heights were useful to precisely compare the development of different canopies. Mean spike top height was measured with an accuracy of 97.1 %. The measurement of leaf area was affected by overlaps between leaves so that a calibration curve wa...Continue Reading

References

Aug 31, 2007·Plant, Cell & Environment·Bernhard BiskupUwe Rascher
Dec 18, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Heiko Hirschmüller
Oct 28, 2014·Sensors·Lei LiDanfeng Huang
May 3, 2016·Sensors·Manuel Vázquez-ArellanoDimitris S Paraforos
Oct 17, 2017·Frontiers in Plant Science·Hanno ScharrMark Müller-Linow
Oct 20, 2017·GigaScience·Fernando Perez-SanzMarcos Egea-Cortines
Mar 15, 2018·Frontiers in Plant Science·Jose A Jimenez-BerniXavier R R Sirault
Feb 1, 2016·Functional Plant Biology : FPB·Jonathon A GibbsTony Pridmore

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Software Mentioned

LiDAR
Matlab Stereo Camera Calibrator App

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