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Clíssia Barboza da Silva
Clíssia Barboza da Silva
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Interactive machine learning for soybean seed and seedling quality classification
AD de Medeiros, NP Capobiango, JM da Silva, LJ da Silva, CB da Silva, ...
Scientific reports 10 (1), 11267, 2020
612020
Machine learning for seed quality classification: An advanced approach using merger data from FT-NIR spectroscopy and X-ray imaging
AD Medeiros, LJ Silva, JPO Ribeiro, KC Ferreira, JTF Rosas, AA Santos, ...
Sensors 20 (15), 4319, 2020
542020
Condutividade elétrica em função do teor de água inicial de sementes de amendoim
RM Barbosa, CB Silva, MA Medeiros, MAPC Centurion, RD Vieira
Ciência Rural 42, 45-51, 2012
542012
Resistance to potato virus Y (pathotype 1–2) in Capsicum annuum and Capsicum chinense is controlled by two independent major genes
LS Boiteux, FP Cupertino, C Silva, AN Dusi, DC Monte-Neshich, ...
Euphytica 87, 53-58, 1996
531996
Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor
CB Silva, MM Lopes, J Marcos-Filho, RD Vieira
Revista Brasileira de Sementes 34, 55-60, 2012
452012
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality
VJM Bianchini, GM Mascarin, LCAS Silva, V Arthur, JM Carstensen, ...
Plant Methods 17, 1-13, 2021
442021
Integrating Optical Imaging Tools for Rapid and Non-invasive Characterization of Seed Quality: Tomato (Solanum lycopersicum L.) and Carrot (Daucus carota L …
PA Galletti, MEA Carvalho, WY Hirai, VA Brancaglioni, V Arthur, ...
Frontiers in Plant Science 11, 577851, 2020
382020
Detection of Drechslera avenae (Eidam) Sharif [Helminthosporium avenae (Eidam)] in Black Oat Seeds (Avena strigosa Schreb) Using Multispectral Imaging
F França-Silva, CHQ Rego, FG Gomes-Junior, MHD Moraes, ...
Sensors 20 (12), 3343, 2020
322020
Deep learning-based approach using X-ray images for classifying Crambe abyssinica seed quality
AD de Medeiros, RC Bernardes, LJ da Silva, BAL de Freitas, ...
Industrial Crops and Products 164, 113378, 2021
312021
Using multispectral imaging for detecting seed-borne fungi in cowpea
CHQ Rego, F França-Silva, FG Gomes-Junior, MHD Moraes, ...
Agriculture 10 (8), 361, 2020
272020
A model of the reflection distribution in the vacuum ultra violet region
C Silva, JP da Cunha, A Pereira, MI Lopes, V Chepel, V Solovov, F Neves
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2010
272010
Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality
C Barboza da Silva, NM Oliveira, MEA de Carvalho, AD de Medeiros, ...
Scientific reports 11 (1), 17834, 2021
232021
A novel approach for Jatropha curcas seed health analysis based on multispectral and resonance imaging techniques
CB da Silva, VJM Bianchini, AD de Medeiros, MHD de Moraes, ...
Industrial Crops and Products 161, 113186, 2021
232021
Ethoflow: computer vision and artificial intelligence-based software for automatic behavior analysis
RC Bernardes, MAP Lima, RNC Guedes, CB da Silva, GF Martins
Sensors 21 (9), 3237, 2021
222021
Performance of bell pepper seeds in response to drum priming with addition of 24-epibrassinolide
CB Da Silva, J Marcos-Filho, P Jourdan, MA Bennett
HortScience 50 (6), 873-878, 2015
222015
Comparison of the inhibitory effects of mercury and cadmium on the creatine kinase from Electrophorus electricus (L)
GMN Araujo, CB Silva, A Hasson-Voloch
The International Journal of Biochemistry & Cell Biology 28 (4), 491-497, 1996
221996
Hibridação em tomate
LB Giordano, C Silva, A Borém
Hibridação artificial de plantas. Viçosa: UFV, 463-480, 1999
211999
Controlled deterioration test and use of the Seed Vigor Imaging System (SVIS®) to evaluate the physiological potential of crambe seeds
EF Leão-Araújo, JF Santos, CB Silva, J Marcos-Filho, RD Vieira
Journal of Seed Science 39, 393-400, 2017
192017
Hormetic effects of low-dose gamma rays in soybean seeds and seedlings: A detection technique using optical sensors
NM Oliveira, AD de Medeiros, M de Lima Nogueira, V Arthur, ...
Computers and Electronics in Agriculture 187, 106251, 2021
182021
Convolutional neural networks using enhanced radiographs for real-time detection of Sitophilus zeamais in maize grain
CB da Silva, AAN Silva, G Barroso, PT Yamamoto, V Arthur, CFM Toledo, ...
Foods 10 (4), 2021
182021
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