首页 /研究 /<title>Knowledge-based object recognition for different morphological classes of plants</title>
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<title>Knowledge-based object recognition for different morphological classes of plants</title>

Thorsten Brendel, Joerg Schwanke, P. Jensch, Roland Megnet

发表年份
1995
引用次数
13

摘要

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.

关键词

Computer scienceObject (grammar)MicropropagationContainer (type theory)ShootCognitive neuroscience of visual object recognitionArtificial intelligenceBiomass (ecology)Root (linguistics)Botany

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