Identifying plant species using architectural features in leaf microscopy images
نویسندگان
چکیده
منابع مشابه
A Plant Recognition Approach Using Shape and Color Features in Leaf Images
Recognizing plants is a vital problem especially for biologists, chemists, and environmentalists. Plant recognition can be performed by human experts manually but it is a time consuming and low-efficiency process. Automation of plant recognition is an important process for the fields working with plants. This paper presents an approach for plant recognition using leaf images. Shape and color fe...
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Automatic species identification has many advantages over traditional species identification. Currently, most plant automatic identification methods focus on the features of leaf shape, venation and texture, which are promising for the identification of some plant species. However, leaf tooth, a feature commonly used in traditional species identification, is ignored. In this paper, a novel auto...
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Plant classification becomes very much demanding research area for the use of taxonomist and botanist as well as in agricultural requirement. Using computerized techniques for performing these task is more effective. This research paper presents the classification of plants by using Feed forward Back Propagation Neural Network designed.This method performed in three steps first is leaf image pr...
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Leaf trait data were compiled for 258 Australian plant species from several habitat types dominated by woody perennials. Specific leaf area (SLA), photosynthetic capacity, dark respiration rate and leaf nitrogen (N) and phosphorus (P) concentrations were positively correlated with one another and negatively correlated with average leaf lifespan. These trait relationships were consistent with pr...
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ژورنال
عنوان ژورنال: Botany
سال: 2016
ISSN: 1916-2790,1916-2804
DOI: 10.1139/cjb-2015-0075