Knowledge-based object recognition for different morphological classes of plants

Thorsten Brendel; Joerg Schwanke; Peter F. Jensch; Roland Megnet

doi:10.1117/12.198882

6 January 1995 Knowledge-based object recognition for different morphological classes of plants

Thorsten Brendel, Joerg Schwanke, Peter F. Jensch, Roland Megnet

Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198882
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

Micropropagation of plants is done by cutting juvenile plants and placing them into special container-boxes with nutrient-solution where the pieces can grow up and be cut again several times. To produce high amounts of biomass it is necessary to do plant micropropagation by a robotic syshoot. In this paper we describe parts of the vision syshoot that recognizes plants and their particular cutting points. Therefore, it is necessary to extract elements of the plants and relations between these elements (for example root, shoot, leaf). Different species vary in their morphological appearance, variation is also immanent in plants of the same species. Therefore, we introduce several morphological classes of plants from that we expect same recognition methods. As a result of our work we present rules which help users to create specific algorithms for object recognition of plant species.

Citation Download Citation

Thorsten Brendel, Joerg Schwanke, Peter F. Jensch, and Roland Megnet "Knowledge-based object recognition for different morphological classes of plants", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198882

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