نتایج جستجو برای: Tree species identification
تعداد نتایج: 1064129 فیلتر نتایج به سال:
this research was conducted in two protect and destroy region in the middle zagros, in illam province. in order to identification of ecological species group and evaluate density of regeneration, effect of many factors such as protection, vegetation, physiographic factors, physical and chemical properties of soil in study locations were studied. to achieve these purpose number of 54 plots using...
this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...
Background and Purpose: Hyphal wall protein 1 (HWP1) is an important adhesin which usually is expressed on the germ tube and hyphal surface produced by different Candida species. The hyphal wall protein-coding gene (HWP1) was evaluated as a novel identification and phylogenetic marker in Candida tropicalis, C. orthopsilosis, C. parapsilosis and C. glabrata. Materials and Methods: Initially, fo...
during 2010-2011 a faunistic survey was carried out for collection and identification of edaphic mesostigmatic mites (acari: mesostigmata) in jiroft and suburb. mites were extracted from soil samples by berlese funnel. the mites were cleared in nesbit fluid and were mounted in hoyer medium on microscopic slides. in this study 43 spices from 26 genera and 16 families were collected and identifie...
Unmanned aerial vehicles (UAVs) images have high spatial resolution. They are a valuable source of information for mapping land cover and thematic information, particularly in the identification of tree species. The aim of this study was to investigate the capability of drone images and the base object method for detecting tree species in the Hyrcanian forests. For this purpose, part of an area...
acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...
background : female sand flies of subgenus adlerius are considered as probable vectors of visceral leishmaniasis in iran. the objective of this study was to determine the morphological and genotypic variations in the populations of this subgenus in the country. methods : sand flies collected using sticky traps from 17 provinces during 2008–2010. the morphometric measurements were conducted with...
the present study describes approaches for the identification of individual beech trees using maternal tissues from their seeds or fruits. four microsatellite markers were used for genetic analysis of seedlots from fagus orientalis lipsky, a highly out-crossing tree species. seeds from 11 single-tree harvests belonging to one population, (7 seeds from each), as well as non-paranchymatic materna...
美濃羽靖・中司駿：深層学習を用いた針葉樹の樹種判別,森林計画誌56：13～23,2022 本研究では,深層学習を用いて野外で撮影した針葉樹の葉画像から樹種判別を試みた。京都府立大学構内および京都府立植物園内に成立する針葉樹8種からそれぞれ300枚の葉を撮影,画像サイズ 256×256 pixelの葉画像を28,800枚作成した。深層学習の学習フレームワークにはCaffeを学習アルゴリズムにはAlexNetおよびGoogLeNetを用いた。訓練事例と未知事例の比率が9：1でデータの水増しなし（LM-1）・あり（LM-2）,同比率が8：2で水増しなし（LM-3）・あり（LM-4）の四つの学習モデルを作成した。学習モデルの性能評価は,各学習モデルにおいて10回のシミュレーションを行い,未知事例に対しての平均正答率を算出,その判別精度を評価指標とした。学習結果より,最も平均正答率が高かったモ...
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