Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Luis Guilherme Teixeira Crusiol"'
Autor:
Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, Caio Almeida de Oliveira, Amanda Silveira Reis, Luis Guilherme Teixeira Crusiol, Renato Herrig Furlanetto, Werner Camargos Antunes, Everson Cezar, Roney Berti de Oliveira, Marcelo Luiz Chicati, José Alexandre M. Demattê, Marcos Rafael Nanni
Publikováno v:
Plants, Vol 12, Iss 19, p 3424 (2023)
Reflectance hyperspectroscopy is recognised for its potential to elucidate biochemical changes, thereby enhancing the understanding of plant biochemistry. This study used the UV-VIS-NIR-SWIR spectral range to identify the different biochemical consti
Externí odkaz:
https://doaj.org/article/2932862c741d45af9050f310c3b74191
Autor:
Renan Falcioni, Glaucio Leboso Alemparte Abrantes dos Santos, Luis Guilherme Teixeira Crusiol, Werner Camargos Antunes, Marcelo Luiz Chicati, Roney Berti de Oliveira, José A. M. Demattê, Marcos Rafael Nanni
Publikováno v:
Plants, Vol 12, Iss 13, p 2526 (2023)
Hyperspectral technology offers significant potential for non-invasive monitoring and prediction of morphological parameters in plants. In this study, UV−VIS−NIR−SWIR reflectance hyperspectral data were collected from Nicotiana tabacum L. plant
Externí odkaz:
https://doaj.org/article/dc86aaaa5e4545c0beda7ead4b34f7c4
Autor:
Luis Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Renato Herrig Furlanetto, Rubson Natal Ribeiro Sibaldelli, Everson Cezar, Liang Sun, José Salvador Simonetto Foloni, Liliane Marcia Mertz-Henning, Alexandre Lima Nepomuceno, Norman Neumaier, José Renato Bouças Farias
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 172 (2021)
Monitoring of soybean genotypes is important because of intellectual property over seed technology, better management over seed genetics, and more efficient strategies for its agricultural production process. This paper aims at spectrally classifying
Externí odkaz:
https://doaj.org/article/e7afff45987b47a4b050c55abdc1f0e8
Autor:
Renan Falcioni, Thaise Moriwaki, Marlon Rodrigues, Karym Mayara de Oliveira, Renato Herrig Furlanetto, Amanda Silveira dos Reis, Glaucio Leboso Alemparte Abrantes dos Santos, Weslei Augusto Mendonça, Luis Guilherme Teixeira Crusiol, João Vitor Ferreira Gonçalves, Marcelo Luiz Chicati, Roney Berti de Oliveira, Marcos Rafael Nanni, Werner Camargos Antunes
Publikováno v:
Theoretical and Experimental Plant Physiology. 35:81-97
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67583f5b9b847bba74b3e7b6edd85310
https://doi.org/10.1007/s40626-023-00268-2
https://doi.org/10.1007/s40626-023-00268-2
Autor:
Nanni, Renan Falcioni, Glaucio Leboso Alemparte Abrantes dos Santos, Luis Guilherme Teixeira Crusiol, Werner Camargos Antunes, Marcelo Luiz Chicati, Roney Berti de Oliveira, José A. M. Demattê, Marcos Rafael
Publikováno v:
Plants; Volume 12; Issue 13; Pages: 2526
Hyperspectral technology offers significant potential for non-invasive monitoring and prediction of morphological parameters in plants. In this study, UV−VIS−NIR−SWIR reflectance hyperspectral data were collected from Nicotiana tabacum L. plant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3d7aa3f78c4ad9a9d0ef51ebcf68883e
Assessing soil CO2 emission on eucalyptus species using UAV-based reflectance and vegetation indices
Autor:
Fernando Saragosa Rossi, João Lucas Della-Silva, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Fábio Henrique Rojo Baio, Wendel Bueno Morinigo, Luís Guilherme Teixeira Crusiol, Newton La Scala, Carlos Antonio da Silva
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Eucalyptus species play an important role in the global carbon cycle, especially in reducing the greenhouse effect as well as storing atmospheric CO₂. Thus, assessing the amount of CO₂ released by the soil in forest areas can generate im
Externí odkaz:
https://doaj.org/article/6c7f3ad622b043e1a2a0392b259e9044
Autor:
Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Rubson Natal Ribeiro Sibaldelli, Liang Sun, Renato Herrig Furlanetto, Sergio Luiz Gonçalves, Norman Neumaier, José Renato Bouças Farias
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4184 (2024)
The upcoming Landsat Next will provide more frequent land surface observations at higher spatial and spectral resolutions that will greatly benefit the agricultural sector. Early modeling of the upcoming Landsat Next products for soybean yield predic
Externí odkaz:
https://doaj.org/article/a94c4c04652a443bb766bdaa25642aaa
Autor:
Karym Mayara de Oliveira, João Vitor Ferreira Gonçalves, Renato Herrig Furlanetto, Caio Almeida de Oliveira, Weslei Augusto Mendonça, Daiane de Fatima da Silva Haubert, Luís Guilherme Teixeira Crusiol, Renan Falcioni, Roney Berti de Oliveira, Amanda Silveira Reis, Arney Eduardo do Amaral Ecker, Marcos Rafael Nanni
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2869 (2024)
Modeling spectral reflectance data using machine learning algorithms presents a promising approach for estimating soil attributes. Nevertheless, a comprehensive investigation of the most effective models, parameters, wavelengths, and data acquisition
Externí odkaz:
https://doaj.org/article/1064bf2f0a0c4cc5a6ee8d1d76c8b7e9
Autor:
Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Adilson de Oliveira Junior, Rubson Natal Ribeiro Sibaldelli
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1900 (2024)
Identifying potassium (K+) deficiency in plants has traditionally been a difficult and expensive process. Traditional methods involve inspecting leaves for symptoms and conducting a laboratory analysis. These methods are not only time-consuming but a
Externí odkaz:
https://doaj.org/article/8c0eb57ed8ec4dd2a4087a082f12c333
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110723- (2023)
Monitoring aboveground biomass (AGB) is crucial for assessing, managing, and utilizing grassland ecosystems. While the technical form of combining remote sensing and machine learning algorithms is widely used to estimate AGB at a regional scale, few
Externí odkaz:
https://doaj.org/article/e88e1401d3da4ac1b929698edbeaaa0d