نتایج جستجو برای: tree species identification
تعداد نتایج: 1064129 فیلتر نتایج به سال:
We investigated the genetic distances and taxonomic status among species of Helobdella, a genus of non-blood-feeding leeches, based on mitochondrial cytochrome c oxidase subunit I sequences. Sampling included 20 specimens representing nine nominal species collected in 11 states in Mexico as well as previously published sequences of different species of Helobdella from several places. A neighbor...
Evaluation of different sampling method to study of tree density (tree/hectare) in the Zagros forest
For maintaining of Zagros forests role in wild life, water and soil conservation, the suitable solutions and methods for assessing the existing conditions and planning for management of this forests should be given. To detection of suitable sampling method to study tree density in the northern Zagros forest, Blake forest, in Baneeh region, Kurdistan province, and west of Iran was selected. 40 s...
Automatic identification of bird species by their vocalization is studied in this paper. Bird sounds are represented with two different parametric representations: (i) the mel-cepstrum parameters and (ii) a set of low-level signal parameters, both of which have been found useful for bird species recognition. Recognition is performed in a decision tree with support vector machine (SVM) classifie...
Efficient tree species identification is of great importance in forest inventory and management. As the textural properties barks vary less notably as a result seasonal change than other organs, they are more suitable for using deep learning models. In this study, we adopted ConvNeXt convolutional neural network to identify 33 BarkNetV2 dataset, compared classification accuracy values different...
In this paper a method for the automated identification of tree species from images of leaves, bark and needles is presented. The automated identification of leaves uses local features to avoid segmentation. For the automated identification of images of the bark this method is compared to a combination of GLCM and wavelet features. For classification a Support Vector machine is used. The needle...
species identification is always important. records of sea urchins and sand dollars species (echinodermata, echinoidea) is given from iranian waters. nine species of echinoderms were identified through the study. the species identification was made using morphological characteristics and review of checklist key. nine species were identified here, including echinometra mathaei, prionocidari...
In an evolutionarily conserved gene organization (syntenic region), the sigH gene shares exceptionally low homology among staphylococcal species. We analyzed the "positionally cloned" sigH sequences of 39 staphylococcal species. The topology of the SigH phylogenetic tree was consistent with that of 16S rRNA. Certain clinical isolates were successfully differentiated at the species level with th...
美濃羽靖・中西白:葉の形状特徴を用いた樹種判別におけるサンプルサイズと判別精度,森林計画誌55:61~75,2022 本研究では,葉の形状特徴を用いた樹種判別における必要なサンプルサイズと判別精度との関係について検証した。葉は20種を各樹種250から350枚程度,計6,516枚を採取した。形状特徴量には円形度,最適楕円の短径・長径比,周囲長・最適楕円軌道比,凸度を用いた。機械学習には決定木(J48およびRandomForest)およびニューラルネットワーク(MultilayerPerceptron)を用い,判別精度はMCC(マシューズ相関係数)を用いた。各形状特徴量を計測する際に必要なサンプルサイズの推定方法は,検出力分析で用いられるサンプルサイズの設計方法を用いた。解析結果より,訓練事例のMCCが0.755から1.000,未知事例のMCCが0.737から0.744と比較的高い判別精...
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