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Use o fluorescence images for a comparative study of diseases in citrus samples from Florida and São Paulo

Grant number: 13/11023-1
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Start date: January 04, 2014
End date: April 03, 2014
Field of knowledge:Physical Sciences and Mathematics - Physics - Atomic and Molecular Physics
Principal Investigator:Luis Gustavo Marcassa
Grantee:Caio Bruno Wetterich
Supervisor: Reza Ehsani
Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Institution abroad: University of Florida, Gainesville (UF), United States  
Associated to the scholarship:11/22275-6 - Fluorescence Imaging using variable liquid crystal tunable filter for citrus diseases, BP.DR

Abstract

The production of citrus destined for processing is dominated worldwide by Florida and Sao Paulo. In these two locations diseases cause severe economic losses. In a recent paper by our group in collaboration with the group of Prof.. Ehsani became clear that there are spectral differences between the Brazilian and American samples. The objective of this stage is to collect images of American samples for comparison. For this we will use the variable filter systems, the filter system and the fixed polarization technique. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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VEICULO: TITULO (DATA)
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
WETTERICH, CAIO BRUNO; DE OLIVEIRA NEVES, RUAN FELIPE; BELASQUE, JOSE; EHSANI, REZA; MARCASSA, LUIS GUSTAVO. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods. APPLIED OPTICS, v. 56, n. 1, p. 15-23, . (11/22275-6, 10/16536-9, 13/11023-1)
NEVES, RUAN F. O.; WETTERICH, CAIO B.; SOUSA, ELAINE P. M.; MARCASSA, LUIS G.. Multiclass classifier based on deep learning for detection of citrus disease using fluorescence imaging spectroscopy. Laser Physics, v. 33, n. 5, p. 9-pg., . (11/22275-6, 13/11023-1, 10/16536-9)
WETTERICH, CAIO BRUNO; DE OLIVEIRA NEVES, RUAN FELIPE; BELASQUE, JOSE; EHSANI, REZA; MARCASSA, LUIS GUSTAVO. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods. APPLIED OPTICS, v. 56, n. 1, p. 9-pg., . (11/22275-6, 13/11023-1, 10/16536-9)