Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images

• DOI: 10.1371/journal.pone.0196671
• Publication Date: 2018-05-24T13:55:33Z
• Authors: Jinhai Cai; Pankaj Kumar; Joshua Chopin; Stanley J. Miklavcic
• Keywords: Plant canopy

In this paper we report on an automated procedure to capture and characterize the detailed structure of a crop canopy by means stereo imaging. We focus attention specifically characteristic height distribution—canopy shoot area as function height—which can provide elaborate picture growth health under given set conditions. apply method wheat field trial involving ten Australian varieties that were subjected two different fertilizer treatments. A novel camera self-calibration approach is proposed which allows determination quantitative plant data (as well other valuable phenotypic information) matching. Utilizing distribution measure height, results compare favourably with manual measurements (resulting in R2 value 0.92), are indeed shown be more consistent. By comparing distributions treatments, methodology shows same treatment, variety treatments respond much distinctive quantifiable ways within their respective canopies than captured simple trait such overall height.