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"Palms Identification."
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The book of palms = Das Buch der Palmen = Le livre des palmiers
Reprinted from Historia naturalis palmarum: opus tripartitum (Natural History of Palms: a work in three volumes) by Karl Friedrich Philip von Martius, published between 1823-1853. At the time, this encyclopedic treasury contained the sum of human knowledge on the topic, and included 240 exquisite chromolithographic illustrations, including landscape views of palm habitats and botanical dissections. This epic folio was based on Martius's expedition to Brazil and Peru with zoologist Johann Baptist von Spix, sponsored by King Maximilian I of Bavaria, to investigate natural history and native tribes. From 1817 to 1820 the pair traveled over 2,250 km (1,400 miles) throughout the Amazon basin, the most species-rich palm region in the world, collecting and sketching specimens. On their return both men were awarded knighthoods and lifetime pensions. Martius outlined the modern classification of palm, produced the first maps of palm biogeography, described all the palms of Brazil, and collated the sum of all known genera of the palm family. Martius's folio is unusual in its inclusion of cross-sectioned diagrams, conveying the architecture of these mighty trees, which central Europeans would have found hard to imagine accurately.
Book
Australian palms
Australian Palms offers an updated and thorough systematic and taxonomictreatment of the Australian palm flora, covering 60 species in 21 genera. Of these,54 species occur in continental Australia and six species on the off-shore territoriesof Lord Howe Island, Norfolk Island and Christmas Island. Incorporating recent advances in biogeographic and phylogenetic research,Australian Palms provides a comprehensive introduction to the palm familyArecaceae, with reviews of botanical history, biogeography, phylogeny, ecology andconservation. Thorough descriptions of genera and species include notes on ecologyand typification, and keys and distribution maps assist with field recognition. Colourphotographs of habit, leaf, flowers, fruit and unique diagnostic characters alsofeature for each species. This work is the culmination of over 20 years of research into Australian palms,including extensive field-work and examination of herbarium specimens in Australia,South-East Asia, Europe and the USA.
eBook
Palms of southern Asia
Southern Asia is a vast and ecologically diverse region that extends from the deserts of Afghanistan to the rainforests of Thailand, and is home to a marvelously rich palm flora.Palms of Southern Asiais the only complete field guide to the 43 genera and 352 species of palms and rattans that occur in Afghanistan, Bangladesh, Bhutan, Cambodia, China, India, Japan, Laos, Myanmar, Nepal, Pakistan, Sri Lanka, Taiwan, Thailand, and Vietnam. This attractive guide's handsome illustrations and succinct, authoritative, and jargon-free text make identification easy. Each species account includes the correct scientific and common names, and fully describes morphology, habitat, and uses. Featuring a distribution map for most species and 256 full-color photographs, this is also the only field guide to cover the extremely diverse palm flora of Vietnam, and the first to offer a taxonomic overview of the rattan species of Southern Asia.
Palms of Southern Asiais a book of major importance for botanists and an invaluable aid for naturalists and conservationists, and it's the perfect field guide for ecotourists traveling in the region.
Covers all 352 naturally occurring palms in Southern AsiaFeatures full-color photographs of 256 species, many never before illustratedIncludes a distribution map for most speciesProvides the first taxonomic overview of the rattans of Southern Asia
eBook
Veintr: robust end-to-end full-hand vein identification with transformer
Hand vein identification stands out to be an increasingly popular approach for biometric identification due to its distinctiveness and convenience. While state-of-the-art techniques are able to achieve good performance, they share two common drawbacks: (1) complex preprocessing procedures, e.g., vein enhancement and Region of Interest (ROI) extraction, and (2) vein information loss due to hand ROI partition. To address these issues, we propose VeinTr, an end-to-end full-hand vein identification approach. In particular, our VeinTr consists of three components: a local feature extractor, a lightweight transformer, and a global feature decoder. We first obtain local features via convolution-based ResNet-like blocks. Then the attention mechanism is employed to aggregate global features from local features, which can be then decoded as global hand vein features. Finally, a global feature decoder is applied to generate robust hand features. By doing so, VeinTr is capable of directly extracting robust hand vein features from raw hand vein images. We evaluate our method on CASIA, TPV, and PLUSVein hand vein datasets. Experimental results show that our approach outperforms the state-of-the-art methods and has strong inter-dataset generalization abilities.
Journal Article
Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery
Sustainable management of non-timber forest products such as palm fruits is crucial for the long-term conservation of intact forest. A major limitation to expanding sustainable management of palms has been the need for precise information about the resources at scales of tens to hundreds of hectares, while typical ground-based surveys only sample small areas. In recent years, small unmanned aerial vehicles (UAVs) have become an important tool for mapping forest areas as they are cheap and easy to transport, and they provide high spatial resolution imagery of remote areas. We developed an object-based classification workflow for RGB UAV imagery which aims to identify and delineate palm tree crowns in the tropical rainforest by combining image processing and GIS functionalities using color and textural information in an integrative way to show one of the potential uses of UAVs in tropical forests. Ten permanent forest plots with 1170 reference palm trees were assessed from October to December 2017. The results indicate that palm tree crowns could be clearly identified and, in some cases, quantified following the workflow. The best results were obtained using the random forest classifier with an 85% overall accuracy and 0.82 kappa index.
Journal Article
A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification
Palm print scanning is a widespread method for biometric identity detection which has some advantages over other methods including its simplicity and relatively lower cost. In this study, a novel methods for biometric verification and identification by contactless palm scanning technique is proposed. In the study, Ripplet-I Transform (R-IT) which is a generalized form of Curvelet Transform (CuT), have been used in addition to multi-resolution transforms which were previously used in the literature as palm print verification and identification methods such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Contourlet Transform (CoT). In addition, Principal Component Analysis (PCA) and Local Binary Pattern (LBP) have been utilized to increase the algorithm diversity. In order to investigate the effect of classification methods on the study results and the processing times, Artificial Neural Network (ANN), Euclidean Distance (ED) and Support Vector Machine (SVM) have been used separately for matching in the verification part of study. The performance of Convolutional Neural Network (CNN) as a classifier has also been examined. Verification and identification algorithms proposed in the study have been tested using palm print images of Hong Kong Polytechnic University Contact-free 3D/2D Hand Images Database (Version 1.0). The studies, that were carried out under two main sections yielded interesting results. At the end of the study, AUC (Area Under the ROC Curve) values ranging from 0.550 (Equal Error Rate (EER)= 0.4594) to 0.9875 (EER= 0.0336) were obtained for palm print verification. The highest AUC value without using LBP was obtained as 0.9563 (EER= 0.1096) using R-IT/CuT+DCT+CNN. Study results were showed that CNN is more successful than other classifiers without using LBP. It also has pointed out that the R-IT/CuT provides better results than the DWT and CoT. Using LBP in algorithms has increased success for ED, SVM and ANN. However, it has reduced overall for CNN. The highest AUC value (0.9875 and EER= 0.0336) was provided by the LBP+DWT+ED algorithm for palm print verification. The highest Identification Rate (IR) was achieved by using the LBP+CoT+ED algorithm with 84.444% for for palm print identification.
Journal Article
Molecular diagnosis and comparison study to the red palm weevil Rhyncophorous ferrugineus (Olivier, 1790) in Basrah province-Iraq
The Red Palm Weevil (RPW) Rhynchophorus ferrugineus (Olivier) is well-known as serious
insect pest of date palm and other palm species. The pest was firstly recorded in Iraq in 2015.
This study was confirmed the identification of this pest using molecular diagnostic (PCR and
sequence analysis) and investigate the genetic relationship by comparison of the sequences
with other recorded copies worldwide. The results confirmed the identity of the R. ferrugineus
(Olivier) molecularly. Ten copies of mitochondrial COI gene of Iraqi samples (MF092880.1-
MF092889.1) were firstly registered in National Center of Biotechnology Information (NCBI).
The sequences comparison of Iraqi sample genes with worldwide genes showed high similarity
with Chinese and Mediterranean COI copies especially the Tunisian one, which may assumes
that they were descended from the same origin. The study concluded that the invention of this
insect to Iraq could be occurred directly from farms in border area between Iraq and Kuwait
or by infested offshoot that imported from other countries.
Journal Article
Nutritional Composition and Bioactive Compounds of Native Brazilian Fruits of the Arecaceae Family and Its Potential Applications for Health Promotion
The fruits from the Arecaceae family, although being rich in bioactive compounds with potential benefits to health, have been underexplored. Studies on their composition, bioactive compounds, and effects of their consumption on health are also scarce. This review presents the composition of macro- and micronutrients, and bioactive compounds of fruits of the Arecaceae family such as bacaba, patawa, juçara, açaí, buriti, buritirana, and butiá. The potential use and reported effects of its consumption on health are also presented. The knowledge of these underutilized fruits is important to encourage production, commercialization, processing, and consumption. It can also stimulate their full use and improve the economy and social condition of the population where these fruits are found. Furthermore, it may help in future research on the composition, health effects, and new product development. Arecaceae fruits presented in this review are currently used as raw materials for producing beverages, candies, jams, popsicles, ice creams, energy drinks, and edible oils. The reported studies show that they are rich in phenolic compounds, carotenoids, anthocyanins, tocopherols, minerals, vitamins, amino acids, and fatty acids. Moreover, the consumption of these compounds has been associated with anti-inflammatory, antiproliferative, antiobesity, and cardioprotective effects. These fruits have potential to be used in food, pharmaceutical, and cosmetic industries. Despite their potential, some of them, such as buritirana and butiá, have been little explored and limited research has been conducted on their composition, biological effects, and applications. Therefore, more detailed investigations on the composition and mechanism of action based on in vitro and/or in vivo studies are needed for fruits from the Arecaceae family.
Journal Article
An account of Korthalsia (Arecaceae) rattans and their uses in Thailand
Four species of Korthalsia are found in Thailand: K. flagellaris , K. laciniosa , K. rigida , and K. scortechinii . We present the comparative vegetative morphology, a key to the species, distribution, ecology, preliminary conservation assessments, utilization, and specimens examined. Korthalsia flagellaris is lectotypified here in a second-step. Three Thai Korthalsia species are confined to the peninsular region: K. flagellaris , K. scortechinii and K. rigida . The first, K. flagellaris , is known only from Narathiwat province and is restricted to peat swamp forests. The second, K. scortechinii , is myrmecophilous and found only in Narathiwat in lowland tropical evergreen rainforests. The third, K. rigida has a wider distribution and is known from Ranong, Trang and Narathiwat provinces in lowland tropical evergreen rainforests. Lastly, Korthalsia laciniosa is the most widespread species of the genus in both the south-eastern and peninsular regions of Thailand in lowland tropical evergreen rainforests. All Thai Korthalsia species are currently assessed as Least Concern (LC) under the IUCN conservation status. In Thailand, Korthalsia is used for traditional tools, furniture components, and fishery equipment. Its stems are valued in local crafts, while the young shoots are occasionally consumed as food.
Journal Article