Research on identification and location method of sugarcane node based on hyperspectral imaging technology
ZHANG Wei-zheng
ZHANG Wei-wei
ZHANG Huan-long
CHEN Qi-qiang
DING Chen-chen
Abstract：Due to the fact that the color of sugarcane nodes and internodes are similar to each other,and the interference of white fruit powder on the skin,node recognition and location were affected seriously.A method for node identification and localization was proposed based on hyperspectral imaging.236 sugarcane samples (874 ～ 1734 nm) were collected by the hyperspectral imaging acquisition system.Using successive projections algorithm (SPA) to extract characteristics band (1022 nm,1062 nm,1456 nm,1609 nm and 1649 nm),the PLS discriminant model were established by these 5 characteristic bands.The 20 groups of sugarcane hyperspectral images were identified by the established model,the binary image of sugarcane was gotten,image processing was used to locate the position of node.The experimental result showed the standard deviation was 0.7 mm,the maximum absolute error was 2.6 mm,and it could identify and locate the sugarcane node effectively,provide technical support for automatic cutting of sugarcane which could prevent injury buds.
Keywords：hyperspectral imagingidentification and location of sugarcane nodesuccessive projections algorithm (SPA)image processing
Publication Date：2017-09-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 95-102 )