Title :
A Method Based on Digital Image Analysis for Estimating Crop Canopy Parameters
Author :
Juan, Wang ; Changzhou, Wei ; Jinqiang, Guo ; Yongwen, Lei
Author_Institution :
Dept. of Resource & Environ., Shihezi Univ., Shihezi, China
Abstract :
This research is attempted to estimate the biomass and leaf area index through identifying the cotton can poy and background pixels accurately. Cotton canopy was captured indifferent growth period of cotton by using an Olympus C740Ultra Zoom digital camera. A protocol mixed hue of HLS color space with R, G value was setup and multiple judgment process was designed to extract cotton canopy pixels from background noise. A computer program based on the protocol above was designed simultaneity. Relation between PGCV that derived from the designed program and cotton canopy biomass or LAI with different N application and in different growth stages suggested that PGCV could reliably evaluate both biomass and LAI, empirical statistical showed that a significantly high coefficient between PGCV and cotton canopy biomass or LAI reached (r=0.97, respectively). The results indicated that image analysis is a promising method for quick diagnosis of crop growth and development.
Keywords :
cotton; crops; image colour analysis; parameter estimation; statistical analysis; HLS color space; LAI; Olympus C740 Ultra Zoom digital camera; PGCV; background noise; background pixels; biomass; computer program; cotton canopy pixel extraction; crop canopy parameter estimation; digital image analysis; empirical statistical analysis; leaf area index; multiple judgment process; percent ground cover of vegetation; protocol mixed hue; Biomass; Cotton; Pixel; Protocols; Soil; Biological parameters; Crop canopy; Image analysis; Judgment protocol;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.563
