|Table of Contents|

Automatic Monitoring System of Soybean Seedling Growth(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2014年05期
Page:
790-794
Research Field:
Publishing date:

Info

Title:
Automatic Monitoring System of Soybean Seedling Growth
Author(s):
CHENG Rong-hua1; MA Fei1; 2; LU Shu-xi1
1.College of Resource and Environment Science,Pingdingshan University,Pingdingshan 467000,China;
2.Computer School of Wuhan University,Wuhan 430072,China
Keywords:
Image processing; Seedling growth; Automatic measurement; 4-neighborhood encoding
PACS:
S565.1
DOI:
10.11861/j.issn.1000-9841.2014.05.0790
Abstract:
Using black soybean seedlings as materials,the green leaf area for reference,processing technology to achieve automation in monitoring soybean growth status of early use of image,working principle mainly includes three steps:first,the soybean seedling growth state sample image color filter two values;secondly,to filter the noise of the sample image by median filtering method;finally,this paper proposed a method 4-neighborhood encoding by one traversal based on the statistics and the number of connected regions,and any region area on the sample image.Research results show that the method is efficient to provide a reference for the protector,has made the beneficial attempt for the development of modern agriculture.

References:

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Last Update: 2014-12-28