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Artigo de periodico
Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures (2025)
Dias, Fabio Felix ; Ponti, Moacir Antonelli ; Minghim, Rosane
Source: Ecological Informatics. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA
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ABNT
DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, v. 90, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2025.103232. Acesso em: 07 out. 2025.
APA
Dias, F. F., Ponti, M. A., & Minghim, R. (2025). Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, 90, 1-12. doi:10.1016/j.ecoinf.2025.103232
NLM
Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232
Vancouver
Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232
Artigo de periodico
Revealing forest structural fingerprints: An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests (2024)
Gonçalves, Nathan Borges; Rosa, Diogo Martins; Valle, Dalton Freitas do; Smith, Marielle N; Dalagnol, Ricardo; Almeida, Danilo Roberti Alves de ; Nelson, Bruce W; Stark, Scott C
Source: Ecological Informatics. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, FLORESTAS TROPICAIS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR, TOPOGRAFIA
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ABNT
GONÇALVES, Nathan Borges et al. Revealing forest structural fingerprints: An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests. Ecological Informatics, v. 81, p. 1-10, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2024.102628. Acesso em: 07 out. 2025.
APA
Gonçalves, N. B., Rosa, D. M., Valle, D. F. do, Smith, M. N., Dalagnol, R., Almeida, D. R. A. de, et al. (2024). Revealing forest structural fingerprints: An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests. Ecological Informatics, 81, 1-10. doi:10.1016/j.ecoinf.2024.102628
NLM
Gonçalves NB, Rosa DM, Valle DF do, Smith MN, Dalagnol R, Almeida DRA de, Nelson BW, Stark SC. Revealing forest structural fingerprints: An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests [Internet]. Ecological Informatics. 2024 ; 81 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2024.102628
Vancouver
Gonçalves NB, Rosa DM, Valle DF do, Smith MN, Dalagnol R, Almeida DRA de, Nelson BW, Stark SC. Revealing forest structural fingerprints: An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests [Internet]. Ecological Informatics. 2024 ; 81 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2024.102628
Artigo de periodico
Pattern-based prediction of population outbreaks (2023)
Palma, Gabriel R; Godoy, Wesley A. C ; Engel, Eduardo ; Lau, Douglas; Galvan, Edgar; Mason, Oliver; Markham, Charles; Moral, Rafael A
Source: Ecological Informatics. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DINÂMICA DE POPULAÇÕES, INFORMÁTICA ECOLÓGICA, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PULGÃO, TRIGO
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ABNT
PALMA, Gabriel R et al. Pattern-based prediction of population outbreaks. Ecological Informatics, v. 77, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2023.102220. Acesso em: 07 out. 2025.
APA
Palma, G. R., Godoy, W. A. C., Engel, E., Lau, D., Galvan, E., Mason, O., et al. (2023). Pattern-based prediction of population outbreaks. Ecological Informatics, 77, 1-10. doi:10.1016/j.ecoinf.2023.102220
NLM
Palma GR, Godoy WAC, Engel E, Lau D, Galvan E, Mason O, Markham C, Moral RA. Pattern-based prediction of population outbreaks [Internet]. Ecological Informatics. 2023 ; 77 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102220
Vancouver
Palma GR, Godoy WAC, Engel E, Lau D, Galvan E, Mason O, Markham C, Moral RA. Pattern-based prediction of population outbreaks [Internet]. Ecological Informatics. 2023 ; 77 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102220
Artigo de periodico
Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data (2023)
Santos, Erli Pinto dos; Moreira, Michel Castro; Fernandes-Filho, Elpídio Inácio ; Demattê, José Alexandre Melo ; Santos, Uemeson José dos; Silva, Demetrius David da; Cruz, Renata Ranielly Pedroza; Moura-Bueno, Jean Michel; Santos, Isabel Caligiorne; Sampaio, Everardo Valadares de Sá Barreto
Source: Ecological Informatics. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA, HORIZONTES DO SOLO, MÍNIMOS QUADRADOS, MODELOS MATEMÁTICOS
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ABNT
SANTOS, Erli Pinto dos et al. Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data. Ecological Informatics, v. 77, p. 1-14, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2023.102240. Acesso em: 07 out. 2025.
APA
Santos, E. P. dos, Moreira, M. C., Fernandes-Filho, E. I., Demattê, J. A. M., Santos, U. J. dos, Silva, D. D. da, et al. (2023). Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data. Ecological Informatics, 77, 1-14. doi:10.1016/j.ecoinf.2023.102240
NLM
Santos EP dos, Moreira MC, Fernandes-Filho EI, Demattê JAM, Santos UJ dos, Silva DD da, Cruz RRP, Moura-Bueno JM, Santos IC, Sampaio EV de SB. Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data [Internet]. Ecological Informatics. 2023 ; 77 1-14.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102240
Vancouver
Santos EP dos, Moreira MC, Fernandes-Filho EI, Demattê JAM, Santos UJ dos, Silva DD da, Cruz RRP, Moura-Bueno JM, Santos IC, Sampaio EV de SB. Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data [Internet]. Ecological Informatics. 2023 ; 77 1-14.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102240
Artigo de periodico
A new modelling framework for predator-prey interactions: A case study of an aphid-ladybeetle system (2023)
Anjos, Lucas; Naozuka, Gustavo Taiji; Volpatto, Diego Tavares; Godoy, Wesley Augusto Conde ; Costa, Michel Iskin da Silveira; Almeida, Regina C
Source: Ecological Informatics. Unidade: ESALQ
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, CONTROLE BIOLÓGICO, INFERÊNCIA BAYESIANA, INSETOS PREDADORES, MODELOS MATEMÁTICOS, PULGÃO, RELAÇÕES HOSPEDEIRO-PARASITA
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ABNT
ANJOS, Lucas et al. A new modelling framework for predator-prey interactions: A case study of an aphid-ladybeetle system. Ecological Informatics, v. 77, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2023.102168. Acesso em: 07 out. 2025.
APA
Anjos, L., Naozuka, G. T., Volpatto, D. T., Godoy, W. A. C., Costa, M. I. da S., & Almeida, R. C. (2023). A new modelling framework for predator-prey interactions: A case study of an aphid-ladybeetle system. Ecological Informatics, 77, 1-15. doi:10.1016/j.ecoinf.2023.102168
NLM
Anjos L, Naozuka GT, Volpatto DT, Godoy WAC, Costa MI da S, Almeida RC. A new modelling framework for predator-prey interactions: A case study of an aphid-ladybeetle system [Internet]. Ecological Informatics. 2023 ; 77 1-15.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102168
Vancouver
Anjos L, Naozuka GT, Volpatto DT, Godoy WAC, Costa MI da S, Almeida RC. A new modelling framework for predator-prey interactions: A case study of an aphid-ladybeetle system [Internet]. Ecological Informatics. 2023 ; 77 1-15.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102168
Artigo de periodico
Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks (2023)
Marinho, Rangel Shida ; Silva, Alysson Alexander Naves ; Mastrangelo, Clíssia Barboza ; Prestes, Ana J.; Costa, Maria de Lourdes Zamboni ; Toledo, Claudio Fabiano Motta ; Mastrangelo, Thiago de Araújo
Source: Ecological Informatics. Unidades: CENA, ICMC
Subjects: CONTROLE BIOLÓGICO, INTENSIFICAÇÃO DE IMAGEM RADIOGRÁFICA, MOSCA-DAS-FRUTAS, RAIOS X
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ABNT
MARINHO, Rangel Shida et al. Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks. Ecological Informatics, v. 78, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2023.102382. Acesso em: 07 out. 2025.
APA
Marinho, R. S., Silva, A. A. N., Mastrangelo, C. B., Prestes, A. J., Costa, M. de L. Z., Toledo, C. F. M., & Mastrangelo, T. de A. (2023). Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks. Ecological Informatics, 78. doi:10.1016/j.ecoinf.2023.102382
NLM
Marinho RS, Silva AAN, Mastrangelo CB, Prestes AJ, Costa M de LZ, Toledo CFM, Mastrangelo T de A. Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks [Internet]. Ecological Informatics. 2023 ; 78[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102382
Vancouver
Marinho RS, Silva AAN, Mastrangelo CB, Prestes AJ, Costa M de LZ, Toledo CFM, Mastrangelo T de A. Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks [Internet]. Ecological Informatics. 2023 ; 78[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2023.102382
Artigo de periodico
Ecological niche models and point distribution data reveal a differential coverage of the cacao relatives (Malvaceae) in South American protected areas (2022)
Colli-Silva, Matheus ; Pirani, José Rubens ; Zizka, Alexander
Source: Ecological Informatics. Unidade: IB
Subjects: BIODIVERSIDADE, CONSERVAÇÃO BIOLÓGICA
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ABNT
COLLI-SILVA, Matheus e PIRANI, José Rubens e ZIZKA, Alexander. Ecological niche models and point distribution data reveal a differential coverage of the cacao relatives (Malvaceae) in South American protected areas. Ecological Informatics, v. 69, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2022.101668. Acesso em: 07 out. 2025.
APA
Colli-Silva, M., Pirani, J. R., & Zizka, A. (2022). Ecological niche models and point distribution data reveal a differential coverage of the cacao relatives (Malvaceae) in South American protected areas. Ecological Informatics, 69. doi:10.1016/j.ecoinf.2022.101668
NLM
Colli-Silva M, Pirani JR, Zizka A. Ecological niche models and point distribution data reveal a differential coverage of the cacao relatives (Malvaceae) in South American protected areas [Internet]. Ecological Informatics. 2022 ; 69[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101668
Vancouver
Colli-Silva M, Pirani JR, Zizka A. Ecological niche models and point distribution data reveal a differential coverage of the cacao relatives (Malvaceae) in South American protected areas [Internet]. Ecological Informatics. 2022 ; 69[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101668
Artigo de periodico
Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest (2022)
Perez, Gabriel Guariglia; Bourscheidt, Vandoir; Lopes, Luciano Elsinor; Takata, Juliana Toshie; Ferreira, Patricia Alves; Boscolo, Danilo
Source: Ecological Informatics. Unidade: FFCLRP
Subjects: SENSORIAMENTO REMOTO, VEGETAÇÃO
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ABNT
PEREZ, Gabriel Guariglia et al. Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest. Ecological Informatics, v. 69, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2022.101680. Acesso em: 07 out. 2025.
APA
Perez, G. G., Bourscheidt, V., Lopes, L. E., Takata, J. T., Ferreira, P. A., & Boscolo, D. (2022). Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest. Ecological Informatics, 69. doi:10.1016/j.ecoinf.2022.101680
NLM
Perez GG, Bourscheidt V, Lopes LE, Takata JT, Ferreira PA, Boscolo D. Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest [Internet]. Ecological Informatics. 2022 ; 69[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101680
Vancouver
Perez GG, Bourscheidt V, Lopes LE, Takata JT, Ferreira PA, Boscolo D. Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest [Internet]. Ecological Informatics. 2022 ; 69[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101680
Artigo de periodico
Hierarchical classification of pollinating flying insects under changing environments (2022)
Parmezan, Antonio Rafael Sabino ; Souza, Vinícius Mourão Alves de ; Seth, Arpita; Zliobaite, Indre ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Ecological Informatics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HYMENOPTERA
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ABNT
PARMEZAN, Antonio Rafael Sabino et al. Hierarchical classification of pollinating flying insects under changing environments. Ecological Informatics, v. 70, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2022.101751. Acesso em: 07 out. 2025.
APA
Parmezan, A. R. S., Souza, V. M. A. de, Seth, A., Zliobaite, I., & Batista, G. E. de A. P. A. (2022). Hierarchical classification of pollinating flying insects under changing environments. Ecological Informatics, 70, Se 2022. doi:10.1016/j.ecoinf.2022.101751
NLM
Parmezan ARS, Souza VMA de, Seth A, Zliobaite I, Batista GE de APA. Hierarchical classification of pollinating flying insects under changing environments [Internet]. Ecological Informatics. 2022 ; 70 Se 2022.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101751
Vancouver
Parmezan ARS, Souza VMA de, Seth A, Zliobaite I, Batista GE de APA. Hierarchical classification of pollinating flying insects under changing environments [Internet]. Ecological Informatics. 2022 ; 70 Se 2022.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2022.101751
Artigo de periodico
Soundscape segregation based on visual analysis and discriminating features (2021)
Dias, Fabio Felix ; Pedrini, Hélio ; Minghim, Rosane
Source: Ecological Informatics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL, ACÚSTICA, MONITORAMENTO AMBIENTAL
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ABNT
DIAS, Fabio Felix e PEDRINI, Hélio e MINGHIM, Rosane. Soundscape segregation based on visual analysis and discriminating features. Ecological Informatics, v. 61, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2020.101184. Acesso em: 07 out. 2025.
APA
Dias, F. F., Pedrini, H., & Minghim, R. (2021). Soundscape segregation based on visual analysis and discriminating features. Ecological Informatics, 61, 1-13. doi:10.1016/j.ecoinf.2020.101184
NLM
Dias FF, Pedrini H, Minghim R. Soundscape segregation based on visual analysis and discriminating features [Internet]. Ecological Informatics. 2021 ; 61 1-13.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2020.101184
Vancouver
Dias FF, Pedrini H, Minghim R. Soundscape segregation based on visual analysis and discriminating features [Internet]. Ecological Informatics. 2021 ; 61 1-13.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2020.101184
Artigo de periodico
Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint (2021)
Bogoni, Juliano André ; Tagliari, Mario Muniz
Source: Ecological Informatics. Unidade: ESALQ
Subjects: BIODIVERSIDADE, HÁBITO ALIMENTAR ANIMAL, MAMÍFEROS, MARSUPIALIA, MORCEGOS, MUDANÇA CLIMÁTICA, PEIXES, MATA ATLÂNTICA
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ABNT
BOGONI, Juliano André e TAGLIARI, Mario Muniz. Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint. Ecological Informatics, v. 64, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2021.101357. Acesso em: 07 out. 2025.
APA
Bogoni, J. A., & Tagliari, M. M. (2021). Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint. Ecological Informatics, 64, 1-12. doi:10.1016/j.ecoinf.2021.101357
NLM
Bogoni JA, Tagliari MM. Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint [Internet]. Ecological Informatics. 2021 ; 64 1-12.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2021.101357
Vancouver
Bogoni JA, Tagliari MM. Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint [Internet]. Ecological Informatics. 2021 ; 64 1-12.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2021.101357
Artigo de periodico
A reporting format for leaf-level gas exchange data and metadata (2021)
Ely, Kim S.; Rogers, Alistair; Agarwal, Deborah A.; Ainsworth, Elizabeth A.; Albert, Loren P.; Ali, Ashehad; Anderson, Jeremiah; Aspinwall, Michael J.; Domingues, Tomas Ferreira ; Poorter, Hendrik
Source: Ecological Informatics. Unidade: FFCLRP
Subjects: FOTOSSÍNTESE, DIÓXIDO DE CARBONO, METADADOS, PLANTAS, MEIO AMBIENTE
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ABNT
ELY, Kim S. et al. A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, v. 61, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2021.101232. Acesso em: 07 out. 2025.
APA
Ely, K. S., Rogers, A., Agarwal, D. A., Ainsworth, E. A., Albert, L. P., Ali, A., et al. (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, 61, 1-10. doi:10.1016/j.ecoinf.2021.101232
NLM
Ely KS, Rogers A, Agarwal DA, Ainsworth EA, Albert LP, Ali A, Anderson J, Aspinwall MJ, Domingues TF, Poorter H. A reporting format for leaf-level gas exchange data and metadata [Internet]. Ecological Informatics. 2021 ; 61 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2021.101232
Vancouver
Ely KS, Rogers A, Agarwal DA, Ainsworth EA, Albert LP, Ali A, Anderson J, Aspinwall MJ, Domingues TF, Poorter H. A reporting format for leaf-level gas exchange data and metadata [Internet]. Ecological Informatics. 2021 ; 61 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2021.101232
Artigo de periodico
GradientLand software: a landscape change gradient generator (2015)
Cambui, Eliane Cristina Barbosa; Vasconcelos, Rodrigo Nogueira de; Boscolo, Danilo; Rocha, Pedro Luís Bernardo da; Miranda, José Garcia Vivas
Source: Ecological Informatics. Unidade: FFCLRP
Subjects: SIMULAÇÃO, SOFTWARE LIVRE, ECOLOGIA DA PAISAGEM
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ABNT
CAMBUI, Eliane Cristina Barbosa et al. GradientLand software: a landscape change gradient generator. Ecological Informatics, v. 25, p. 57-62, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2014.12.001. Acesso em: 07 out. 2025.
APA
Cambui, E. C. B., Vasconcelos, R. N. de, Boscolo, D., Rocha, P. L. B. da, & Miranda, J. G. V. (2015). GradientLand software: a landscape change gradient generator. Ecological Informatics, 25, 57-62. doi:10.1016/j.ecoinf.2014.12.001
NLM
Cambui ECB, Vasconcelos RN de, Boscolo D, Rocha PLB da, Miranda JGV. GradientLand software: a landscape change gradient generator [Internet]. Ecological Informatics. 2015 ; 25 57-62.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2014.12.001
Vancouver
Cambui ECB, Vasconcelos RN de, Boscolo D, Rocha PLB da, Miranda JGV. GradientLand software: a landscape change gradient generator [Internet]. Ecological Informatics. 2015 ; 25 57-62.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2014.12.001
Artigo de periodico
A reference process for automating bee species identification based on wing images and digital image processing (2014)
Santana, Fabiana Soares; Reali Costa, Anna Helena ; Truzzi, Flavio Sales; Silva, Felipe L.; Santos, Sheila Leal; Francoy, Tiago Mauricio ; Saraiva, Antonio Mauro
Source: Ecological Informatics. Unidades: EP, EACH
Subjects: ABELHAS, APIDAE
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ABNT
SANTANA, Fabiana Soares et al. A reference process for automating bee species identification based on wing images and digital image processing. Ecological Informatics, v. No 2014, p. 248-260, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2013.12.001. Acesso em: 07 out. 2025.
APA
Santana, F. S., Reali Costa, A. H., Truzzi, F. S., Silva, F. L., Santos, S. L., Francoy, T. M., & Saraiva, A. M. (2014). A reference process for automating bee species identification based on wing images and digital image processing. Ecological Informatics, No 2014, 248-260. doi:10.1016/j.ecoinf.2013.12.001
NLM
Santana FS, Reali Costa AH, Truzzi FS, Silva FL, Santos SL, Francoy TM, Saraiva AM. A reference process for automating bee species identification based on wing images and digital image processing [Internet]. Ecological Informatics. 2014 ; No 2014 248-260.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.12.001
Vancouver
Santana FS, Reali Costa AH, Truzzi FS, Silva FL, Santos SL, Francoy TM, Saraiva AM. A reference process for automating bee species identification based on wing images and digital image processing [Internet]. Ecological Informatics. 2014 ; No 2014 248-260.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.12.001
Artigo de periodico
A reference process for automating bee species identification based on wing images and digital image processing (2014)
Santana, Fabiana Soares; Reali Costa, Anna Helena ; Truzzi, Flávio Sales; Silva, Felipe L; Santos, Sheila Leal; Francoy, Tiago Mauricio ; Saraiva, Antonio Mauro
Source: Ecological Informatics. Unidades: EP, EACH
Subjects: PROCESSAMENTO DE IMAGENS, SISTEMAS MULTIAGENTES
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ABNT
SANTANA, Fabiana Soares et al. A reference process for automating bee species identification based on wing images and digital image processing. Ecological Informatics, v. No 2014, p. 248-260, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2013.12.001. Acesso em: 07 out. 2025.
APA
Santana, F. S., Reali Costa, A. H., Truzzi, F. S., Silva, F. L., Santos, S. L., Francoy, T. M., & Saraiva, A. M. (2014). A reference process for automating bee species identification based on wing images and digital image processing. Ecological Informatics, No 2014, 248-260. doi:10.1016/j.ecoinf.2013.12.001
NLM
Santana FS, Reali Costa AH, Truzzi FS, Silva FL, Santos SL, Francoy TM, Saraiva AM. A reference process for automating bee species identification based on wing images and digital image processing [Internet]. Ecological Informatics. 2014 ; No 2014 248-260.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.12.001
Vancouver
Santana FS, Reali Costa AH, Truzzi FS, Silva FL, Santos SL, Francoy TM, Saraiva AM. A reference process for automating bee species identification based on wing images and digital image processing [Internet]. Ecological Informatics. 2014 ; No 2014 248-260.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.12.001
Artigo de periodico
Modelling fungus dispersal scenarios using cellular automata (2013)
Ferreira, Iuri Emmanuel de Paula; Moral, Rafael de Andrade; Ferreira, Cláudia Pio; Godoy, Wesley Augusto Conde
Source: Ecological Informatics. Unidade: ESALQ
Subjects: FUNGOS (DISPERSÃO) (MODELAGEM), AUTÔMATOS CELULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Iuri Emmanuel de Paula et al. Modelling fungus dispersal scenarios using cellular automata. Ecological Informatics, v. 14, n. 3, p. 53-58, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2012.11.005. Acesso em: 07 out. 2025.
APA
Ferreira, I. E. de P., Moral, R. de A., Ferreira, C. P., & Godoy, W. A. C. (2013). Modelling fungus dispersal scenarios using cellular automata. Ecological Informatics, 14( 3), 53-58. doi:10.1016/j.ecoinf.2012.11.005
NLM
Ferreira IE de P, Moral R de A, Ferreira CP, Godoy WAC. Modelling fungus dispersal scenarios using cellular automata [Internet]. Ecological Informatics. 2013 ; 14( 3): 53-58.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2012.11.005
Vancouver
Ferreira IE de P, Moral R de A, Ferreira CP, Godoy WAC. Modelling fungus dispersal scenarios using cellular automata [Internet]. Ecological Informatics. 2013 ; 14( 3): 53-58.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2012.11.005
Artigo de periodico
A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera (2013)
Sá Junior, Jarbas Joaci de Mesquita; Rossatto, Davi Rodrigo; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Ecological Informatics. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS, FOLHAS (PLANTAS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita et al. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera. Ecological Informatics, v. 15, p. 34-43, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2013.02.007. Acesso em: 07 out. 2025.
APA
Sá Junior, J. J. de M., Rossatto, D. R., Kolb, R. M., & Bruno, O. M. (2013). A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera. Ecological Informatics, 15, 34-43. doi:10.1016/j.ecoinf.2013.02.007
NLM
Sá Junior JJ de M, Rossatto DR, Kolb RM, Bruno OM. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera [Internet]. Ecological Informatics. 2013 ; 15 34-43.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.02.007
Vancouver
Sá Junior JJ de M, Rossatto DR, Kolb RM, Bruno OM. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera [Internet]. Ecological Informatics. 2013 ; 15 34-43.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.02.007
Artigo de periodico
Assessing ecological risk through automated drainage extraction and watershed delineation (2011)
Mantelli, Luiz Rogério; Barbosa, Jomar Magalhães; Bitencourt, Marisa Dantas
Source: Ecological Informatics. Unidade: IB
Subjects: DRENAGEM (EXTRAÇÃO), BACIA HIDROGRÁFICA, RISCO AMBIENTAL (AVALIAÇÃO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANTELLI, Luiz Rogério e BARBOSA, Jomar Magalhães e BITENCOURT, Marisa Dantas. Assessing ecological risk through automated drainage extraction and watershed delineation. Ecological Informatics, v. 6, n. 5, p. 325-331, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2011.04.003. Acesso em: 07 out. 2025.
APA
Mantelli, L. R., Barbosa, J. M., & Bitencourt, M. D. (2011). Assessing ecological risk through automated drainage extraction and watershed delineation. Ecological Informatics, 6( 5), 325-331. doi:10.1016/j.ecoinf.2011.04.003
NLM
Mantelli LR, Barbosa JM, Bitencourt MD. Assessing ecological risk through automated drainage extraction and watershed delineation [Internet]. Ecological Informatics. 2011 ; 6( 5): 325-331.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2011.04.003
Vancouver
Mantelli LR, Barbosa JM, Bitencourt MD. Assessing ecological risk through automated drainage extraction and watershed delineation [Internet]. Ecological Informatics. 2011 ; 6( 5): 325-331.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2011.04.003
Artigo de periodico
Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae) (2010)
Giannini, Tereza Cristina; Saraiva, Antonio Mauro ; Alves-dos-Santos, Isabel
Source: Ecological Informatics. Unidades: EP, IB
Subjects: INTERAÇÃO PLANTA-INSETO, ABELHAS, ECOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GIANNINI, Tereza Cristina e SARAIVA, Antonio Mauro e ALVES-DOS-SANTOS, Isabel. Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae). Ecological Informatics, v. 5, n. 1, p. 59-66, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2009.09.003. Acesso em: 07 out. 2025.
APA
Giannini, T. C., Saraiva, A. M., & Alves-dos-Santos, I. (2010). Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae). Ecological Informatics, 5( 1), 59-66. doi:10.1016/j.ecoinf.2009.09.003
NLM
Giannini TC, Saraiva AM, Alves-dos-Santos I. Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae) [Internet]. Ecological Informatics. 2010 ;5( 1): 59-66.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2009.09.003
Vancouver
Giannini TC, Saraiva AM, Alves-dos-Santos I. Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae) [Internet]. Ecological Informatics. 2010 ;5( 1): 59-66.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2009.09.003
Artigo de periodico
A reference business process for ecological niche modelling (2008)
Santana, Fabiana Soares; Siqueira, M F; Saraiva, Antonio Mauro ; Corrêa, Pedro Luiz Pizzigatti
Source: Ecological Informatics. Unidade: EP
Subjects: NICHO (MODELAGEM), ENGENHARIA AGRÍCOLA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTANA, Fabiana Soares et al. A reference business process for ecological niche modelling. Ecological Informatics, v. 3, n. Ja 2008, p. 75-86, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2007.12.003. Acesso em: 07 out. 2025.
APA
Santana, F. S., Siqueira, M. F., Saraiva, A. M., & Corrêa, P. L. P. (2008). A reference business process for ecological niche modelling. Ecological Informatics, 3( Ja 2008), 75-86. doi:10.1016/j.ecoinf.2007.12.003
NLM
Santana FS, Siqueira MF, Saraiva AM, Corrêa PLP. A reference business process for ecological niche modelling [Internet]. Ecological Informatics. 2008 ; 3( Ja 2008): 75-86.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2007.12.003
Vancouver
Santana FS, Siqueira MF, Saraiva AM, Corrêa PLP. A reference business process for ecological niche modelling [Internet]. Ecological Informatics. 2008 ; 3( Ja 2008): 75-86.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.ecoinf.2007.12.003

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