Back to articles
Articles
Volume: 30 | Article ID: art00015
Image
Top Down Approach to Height Histogram Estimation of Biomass Sorghum in the Field
  DOI :  10.2352/ISSN.2470-1173.2018.15.COIMG-228  Published OnlineJanuary 2018
Abstract

The rise of cheaper and more accurate genotyping techniques has lead to significant advances in understanding the genotype-phenotype map. However, this is currently bottlenecked by manually intensive or slow phenotype data collection. We propose an algorithm to automatically estimate the canopy height of a row of plants in field conditions in a single pass on a moving robot. A stereo sensor pointed down collects a series of stereo image pairs. The depth images are then converted to height-above-ground images to extract height contours. Separate height contours corresponding to each frame are then concatenated to construct a height contour representing one row of plants in the plot. Since the process is automated, data can be collected throughout the growing season with very little manual labor complementing the already abundantly available genotypic data. Using experimental data from seven plots, we show our proposed approach achieves a height estimation error of approximately 3.3%.

Subject Areas :
Views 17
Downloads 5
 articleview.views 17
 articleview.downloads 5
  Cite this article 

Jihui Jin, Gefen Kohavi, Zhi Ji, Avideh Zakhor, "Top Down Approach to Height Histogram Estimation of Biomass Sorghum in the Fieldin Proc. IS&T Int’l. Symp. on Electronic Imaging: Computational Imaging XVI,  2018,  pp 288-1 - 2887,  https://doi.org/10.2352/ISSN.2470-1173.2018.15.COIMG-228

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2018
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology