A New Leaf Venation Detection Technique for Plant Species Classification
نویسندگان
چکیده
منابع مشابه
A Leaf Recognition Technique for Plant Classification Using RBPNN and Zernike Moments
Plants are among the earth's most useful and beautiful products of nature. Plants have been crucial to mankind's survival. The urgent need is that many plants are at the risk of extinction. About 50% of ayurvedic medicines are prepared using plant leaves and many of these plant species belong to the endanger group. So it is indispensable to set up a database for plant protection. We believe tha...
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There are a lot of techniques relevant for the purpose automated leaf recognition for plant classification. Many algorithms have been introduced in the past decade and achieved good performance. Efforts have focused upon many other fields but properties of features have not been well investigated. A group of features is selected in advance but important feature properties are not well used to f...
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The main role of leaf venation is to supply water across the photosynthetic surface to keep stomata open and allow access to atmospheric CO2 despite evaporative demand. The optimal uniform delivery of water occurs when the distance between veins equals the depth of vein placement within the leaf away from the evaporative surface. As presented here, only angiosperms maintain this anatomical opti...
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Leaf venation networks provide an integrative linkage between plant form, function and climate niche, because leaf water transport underlies variation in plant performance. Here, we develop theory based on leaf physiology that uses community-mean vein density to predict growing season temperature and atmospheric CO2 concentration. The key assumption is that leaf water supply is matched to water...
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ژورنال
عنوان ژورنال: Arabian Journal for Science and Engineering
سال: 2018
ISSN: 2193-567X,2191-4281
DOI: 10.1007/s13369-018-3504-8