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203 results on '"Rossatto, Davi Rodrigo"'

8. ATLANTIC EPIPHYTES : a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Author

Ramos, Flavio Nunes, Mortara, Sara Ribeiro, Monalisa-Francisco, Nathalia, Elias, João Pedro Costa, Neto, Luiz Menini, Freitas, Leandro, Kersten, Rodrigo, Amorim, André Márcio, Matos, Fernando Bittencourt, Nunes-Freitas, André Felippe, Alcantara, Suzana, Alexandre, Marcia Helena Nagahama, de Almeida-Scabbia, Renata Jimenez, de Almeida, Odair José Garcia, Alves, Fernanda Eliane, de Oliveira Alves, Rogério Marcos, Alvim, Francine Seehaber, de Andrade, Antônio Carlos Silva, de Andrade, Simone, Aona, Lidyanne Yuriko Saleme, Araujo, Andréa Cardoso, de Araújo, Kelianne Carolina Targino, Ariati, Vanessa, Assis, Julia Camara, de Azevedo, Cecília Oliveira, Barbosa, Bruno Ferreira, Barbosa, Daniel Elias Ferreira, dos Reis Barbosa, Fernando, de Barros, Fabio, Basilio, Geicilaine Alves, Bataghin, Fernando Antonio, Bered, Fernanda, Bianchi, Juliana Santos, Blum, Christopher Thomas, Boelter, Carlos Renato, Bonnet, Annete, Brancalion, Pedro Henrique Santin, Breier, Tiago Bӧer, de Toledo Brion, Caio, Buzatto, Cristiano Roberto, Cabral, Andressa, Cadorin, Tiago João, Caglioni, Eder, Canêz, Luciana, Cardoso, Pedro Henrique, de Carvalho, Fábia Silva, Carvalho, Renan Gonçalves, Catharino, Eduardo Luis Martins, Ceballos, Sergio Javier, Cerezini, Monise Terra, César, Ricardo Gomes, Cestari, Cesar, Chaves, Cleber Juliano Neves, Citadini-Zanette, Vanilde, Coelho, Luiz Francisco Mello, Coffani-Nunes, João Vicente, Colares, Renato, Colletta, Gabriel Dalla, de Medeiros Corrêa, Nadjara, da Costa, Andrea Ferreira, da Costa, Grênivel Mota, Costa, Laís Mara Santana, Costa, Natália Gabriela Souza, Couto, Dayvid Rodrigues, Cristofolini, Caroline, da Cruz, Ana Carolina Rodrigues, Del Neri, Leopoldo Angelo, di Pasquo, Mercedes, dos Santos Dias, Aline, do Carmo Dutra Dias, Letícia, Dislich, Ricardo, Duarte, Marília Cristina, Fabricante, Juliano Ricardo, Farache, Fernando Henrique Antoniolli, de Faria, Ana Paula Gelli, Faxina, Claudenice, Ferreira, Mariana Terrola Martins, Fischer, Erich, Fonseca, Carlos Roberto, Fontoura, Talita, Francisco, Talitha Mayumi, Furtado, Samyra Gomes, Galetti, Mauro, Garbin, Mário Luís, de Gasper, André Luís, Goetze, Márcia, Gomes-da-Silva, Janaína, Gonçalves, Mateus Felipe Araujo, Gonzaga, Diego Rafael, Silva, Ana Carolina Granero e, de Camargo Guaraldo, André, de Souza Gomes Guarino, Ernestino, Guislon, Aline Votri, Hudson, Luigy Bitencourt, Jardim, Jomar Gomes, Jungbluth, Patricia, dos Santos Kaeser, Selma, Kessous, Igor Musauer, Koch, Natália Mossmann, Kuniyoshi, Yoshiko Saito, Labiak, Paulo Henrique, Lapate, Maria Esther, Santos, Ana Carolina Laurenti, Leal, Roberta Luísa Barbosa, Leite, Felipe Silveira, Leitman, Paula, Liboni, Ana Paula, Liebsch, Dieter, Lingner, Débora Vanessa, Lombardi, Julio Antonio, Lucas, Eve, dos Reis Luzzi, Jhonny, Mai, Patricia, Mania, Luiz Felipe, Mantovani, Waldir, Maragni, Angelica Guidoni, Marques, Marcia Cristina Mendes, Marquez, Gonzalo, Martins, Cristiane, do Nascimento Martins, Laura, Martins, Pedro Luiz Sanglard Silva, Mazziero, Frederico Fregolente Faracco, de Aguiar Melo, Camila, de Melo, Maria Margarida Fiuza, Mendes, Alex Fernando, Mesacasa, Letícia, Morellato, Leonor Patricia Cerdeira, de Souza Moreno, Vanessa, Muller, Adelcio, da Silva Murakami, Mariana Moreira, Cecconello, Edinete, Nardy, Camila, Nervo, Michelle Helena, Neves, Beatriz, Nogueira, Matheus Guimarães Cardoso, Nonato, Fabiana Regina, de Oliveira-Filho, Ary Teixeira, de Oliveira, César Pedro Lopes, Overbeck, Gerhard Ernst, Marcusso, Gabriel Mendes, Paciencia, Mateus Luís Barradas, Padilha, Patricia, Padilha, Peterson Teodoro, Pereira, Ana Clara Alves, Pereira, Luciana Carvalho, Pereira, Rodrigo Augusto Santinelo, Pincheira-Ulbrich, Jimmy, Pires, José Salatiel Rodrigues, Pizo, Marco Aurélio, Pôrto, Kátia Cavalcanti, Rattis, Ludmila, de Mendonça Reis, Joice Rodrigues, dos Reis, Simone Gonçalves, da Rocha-Pessôa, Thereza Christina, Rocha, Carlos Frederico Duarte, Rocha, Fernando Souza, Rodrigues, Alba Regina Pereira, Rodrigues, Ricardo Ribeiro, Rogalski, Juliana Marcia, Rosanelli, Roberta Luiza, Rossado, Andrés, Rossatto, Davi Rodrigo, Rother, Débora Cristina, Ruiz-Miranda, Carlos Ramon, Saiter, Felipe Zamborlini, Sampaio, Mauricio Bonesso, Santana, Lucas Deziderio, dos Santos, Juliana Silveira, Sartorello, Ricardo, Sazima, Marlies, Schmitt, Juliane Luzía, Schneider, Geniane, Schroeder, Bruna Grosch, Sevegnani, Lucia, Júnior, Vasconcelos Oliveira Silva, da Silva, Fernando Rodrigues, da Silva, Maria Juliana, Silva, Mércia Patrícia Pereira, Silva, Rafaela Guimarães, Silva, Sandro Menezes, Singer, Rodrigo Bustos, Siqueira, Geovane, Soares, Luis Eduardo, de Sousa, Hildeberto Caldas, Spielmann, Adriano, Tonetti, Vinicius Rodrigues, Toniato, Maria Teresa Zugliani, Ulguim, Paulo Sérgio Bordoni, van den Berg, Cássio, van den Berg, Eduardo, Varassin, Isabela Galarda, da Silva, Izabela Bitencourt Veloso, Vibrans, Alexander Christian, Waechter, Jorge Luiz, Weissenberg, Erick Willy, Windisch, Paulo Günter, Wolowski, Marina, Yañez, Agustina, Yoshikawa, Vania Nobuko, Zandoná, Luciano Ramos, Zanella, Camila Martini, Zanin, Elisabete Maria, Zappi, Daniela Cristina, Zipparro, Valesca Bononi, Zorzanelli, João Paulo Fernandes, and Ribeiro, Milton Cezar

Published
2019

16. Fruiting phenology in Aspidosperma discolor and implications for seed dispersal and population distribution.

Author

Silva Menezes, Isiara, Mendes dos Santos, Marília Grazielly, Oliveira Cerqueira, Carlianne, do Couto-Santos, Ana Paula Lima, Santos Neves, Sâmia Paula, Rossatto, Davi Rodrigo, Pedreira de Miranda, Lia d'Afonsêca, and Silveira Funch, Ligia

Subjects
EL Nino, DISTRIBUTION (Probability theory), SOUTHERN oscillation, FRUIT seeds, SEED dispersal
Abstract

Copyright of Rodriguésia is the property of Revista Rodriguesia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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17. Elucidating leaf anatomical traits in Vereda plants: different survival strategies.

Author

Somavilla, Nádia Sílvia, Montenegro, Thaís Franco, Rossatto, Davi Rodrigo, and Kolb, Rosana Marta

Subjects
WATERLOGGING (Soils), CERRADOS, SOIL testing, STRAINS & stresses (Mechanics), PHENOLS
Abstract

Copyright of Rodriguésia is the property of Revista Rodriguesia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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27. Identifying plant species using architectural features in leaf microscopy images

Author

Florindo, Joao Batista, Bruno, Odemir Martinez, Rossatto, Davi Rodrigo, Kolb, Rosana Marta, Gomez, Maria Cecilia, and Landini, Gabriel

Subjects
Microscope and microscopy -- Methods, Botany -- Morphology, Leaves -- Physiological aspects, Biological sciences
Abstract

This work proposes an analytical method to identify plant species based on microscopy images of the midrib cross-section of leaves. Unlike previous shape-based approaches based on the individual shape of external contours and cells, an architectural analysis is proposed, where the midrib is semi-automatically segmented and partitioned into histologically relevant structures composed of layers of cells and vascular structures. Using a sequence of morphological operations, a set of geometrical measures from the cells in each layer is extracted to produce a vector of features for species categorization. The method applied to a database containing 10 species of plants from the Brazilian flora achieved a success rate of 91.7%, outperforming other classical shape-based approaches published in the literature. Key words: automatic species identification, image analysis, morphological features. Les auteurs de ce travail proposent une methode analytique permettant d'identifier une espece vegetale a partir d'images en microscopie de coupes transversales de la nervure mediane des feuilles. Contrairement aux approches precedentes basees sur la forme qui reposent sur la forme individuelle des contours externes et sur les cellules, une analyse architecturale est proposee, dans laquelle la nervure mediane est segmentee de maniere semi-automatique et divisee en structures histologiquement pertinentes composees de couches cellulaires et de structures vasculaires. En utilisant une sequence d'operations morphologiques, une serie de mesures geometriques des cellules de chaque couche est extraite afin de produire un ensemble de caracteristiques pour categoriser les especes. La methode appliquee a une base de donnees contenant 10 especes de plantes issues de la flore du Bresil a obtenu un taux de succes de 91.7%, surpassant les autres approches classiques basees sur la forme publiees dans la litterature. [Traduit par la Redaction] Mots-cles : identification automatisee d'une espece, analyse d'image, caracteristiques morphologiques., Introduction The categorization of plants into species is an important taxonomical task; it provides meaningful information about particular characteristics of a species, which can be used in the context of [...]

Published
2016
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44. Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification

Author

Backes, Andre R., Rossatto, Davi Rodrigo, Kolb, Rosana M., and Bruno, Odemir M.

Subjects
Biological diversity -- Research -- Physiological aspects, Leaves -- Physiological aspects -- Research, Phylogeny -- Research -- Physiological aspects, Biological sciences
Abstract

Currently, studies on leaf anatomy have provided an important source of characters helping taxonomic, systematic, and phylogenetic studies. These studies strongly rely on measurements of characters (such as tissue thickness) and qualitative information (structures description, presence-absence of structures). In this work, we provide a new computational approach that semiautomates the collection of some quantitative data (cuticle, adaxial epidermis, and total leaf thickness) and accesses a new source of information in leaf cross-section images: the texture and the color of leaf tissues. Our aim was to evaluate this information for plant identification purposes. We successfully tested our system identifying eight species from different phylogenetic positions in the angiosperm phylogeny from the neotropical savanna of central Brazil. The proposed system checks the potential of identifying the species for each extracted measure using the Jeffrey-Matusita distance and composes a feature vector with the most important metrics. A linear discriminant analysis with leave-one-out to classify the samples was used. The experiments achieved a 100% success rate in terms of identifying the studied species accessing the above-described parameters, demonstrating that our computational approach can be a helpful tool for anatomical studies, especially ones devoted to plant identification and systematic studies. Key words: taxonomy, plant identification, feature extraction, Jeffrey-Matusita distance, linear discriminant analysis. Habituellement, les etudes de l'anatomie foliaire constituent une source importante de caracteres supportant les etudes taxonomiques, systematiques et phylogenetiques. Ces etudes s'appuient fortement sur des mesures de traits (comme l'epaisseur des tissus) et sur des informations qualitatives (description des structures, presence-absence de structures). Les auteurs proposent ici une nouvelle approche de calcul en recoltant certaines donnees quantitatives en mode semi-automatise (cuticule, epiderme adaxial et epaisseur totale de la feuille) et en donnant acces a une nouvelle source d'information a partir d'images de sections transverses de feuilles : la texture et la couleur des tissus foliaires. L'objectif est d'evaluer cette information aux fins de l'identification des plantes. Les auteurs ont teste leur systeme avec succes en identifiant huit especes provenant de positions phylogenetiques differentes dans la phylogenie des angiospermes, provenant de la Savane neotropicale au centre du Bresil. Le systeme propose verifie la capacite d'identification des especes pour chacune des mesures retenues et, en utilisant la distance de Jeffrey-Matusita, compose un vecteur de fonctionnalites avec les mesures les plus importantes. Les auteurs ont utilise une analyse discriminante lineaire par elimination un a un pour classifier les echantillons. L'experience s'est soldee avec un succes de 100 % en termes d'identification des especes etudiees, en utilisant les parametres decrits plus haut, ce qui demontre que l'approche informative des auteurs peut etre utile pour les etudes anatomiques, surt out celles qui sont destinees a l'identification des plantes et aux etudes systematiques. Mots-cles : taxonomie, identification des plantes, extraction des fonctionnalites, distance de Jeffrey-Matusita, analyse discriminante lineaire. [Traduit par la Redaction], Introduction Since the 18th and 19th centuries, botanists have been studying vegetative and reproductive characteristics to identify and classify the various diverse groups of plants and also to infer the [...]

Published
2011
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45. Leaf trait variability maintains similar leaf exchange rhythms in Hirtella glandulosa Spreng. (Chrysobalanaceae) populations growing on contrasting soil types in the Brazilian Atlantic Forest

Author

de Oliveira, Josevânia Carneiro, primary, dos Santos, Marília Grazielly Mendes, additional, Neves, Sâmia Paula Santos, additional, Vitória, Angela Pierre, additional, Rossatto, Davi Rodrigo, additional, de Miranda, Lia d’Afonsêca Pedreira, additional, and Funch, Ligia Silveira, additional

Published
2021
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