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Proceedings Paper

Corn plant locating by image processing
Author(s): Jiancheng Jia; Gary W. Krutz; Harry W. Gibson
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Paper Abstract

The feasibility investigation of using machine vision technology to locate corn plants is an important issue for field production automation in the agricultural industry. This paper presents an approach which was developed to locate the center of a corn plant using image processing techniques. Corn plants were first identified using a main vein detection algorithm by detecting a local feature of corn leaves leaf main veins based on the spectral difference between mains and leaves then the center of the plant could be located using a center locating algorithm by tracing and extending each detected vein line and evaluating the center of the plant from intersection points of those lines. The experimental results show the usefulness of the algorithm for machine vision applications related to corn plant identification. Such a technique can be used for pre. cisc spraying of pesticides or biotech chemicals. 1.

Paper Details

Date Published: 1 February 1991
PDF: 8 pages
Proc. SPIE 1379, Optics in Agriculture, (1 February 1991); doi: 10.1117/12.25095
Show Author Affiliations
Jiancheng Jia, Purdue Univ. (United States)
Gary W. Krutz, Purdue Univ. (United States)
Harry W. Gibson, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 1379:
Optics in Agriculture
James A. DeShazer; George E. Meyer, Editor(s)

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