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Automatic classification of soybean diseases based on digital images of leaf symptoms. Author(s): BARBEDO, J. G. A.; GODOY, C. V. This paper presents an algorithm for automatic classification of diseases that produce symptons in soybean leaves. Repository: BDPA Publication year: 2015
Hierarchical classification of soybean in the Brazilian Savanna based on Harmonized Landsat Sentinel data. Author(s): PARREIRAS, T. C.; BOLFE, E. L.; CHAVES, M. E. D.; DEL'ARCO SANCHES, I.; SANO, E. E.; VICTORIA, D. de C.; BETTIOL, G. M.; VICENTE, L. E. Abstract. The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed agricultural monitoring. Using a hierarc... ... Repository: BDPA Publication year: 2022
Classification of soybean genotypes assessed under different water availability and at different phenological stages using leaf-based hyperspectral reflectance. Author(s): CRUSIOL, L. G. T.; NANNI, M. R.; FURLANETTO, R. H.; SIBALDELLI, R. N. R.; CEZAR, E.; SUN, L.; FOLONI, J. S. S.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. Repository: BDPA Publication year: 2021
Artificial neural networks in the classification and identification of soybean cultivars by planting region. Author(s): GALÃO, O. F.; BORSATO, D.; PINTO, J. P.; VISENTAINER, J. V.; CARRÃO-PANIZZI, M. C. Vinte variedades de soja (Glycine max), quatorze convencionais e seis variedades transgênicas (RR) foram analisadas quanto ao teor de proteína, ácido fítico, teor de óleo, fitosteróis, cinzas, minerai... ... Repository: BDPA Publication year: 2011
Understanding soybean maturity groups in Brazil: environment, cultivar classification, and stability. Author(s): ALLIPRANDINI, L. F.; ABATTI, C.; BERTAGNOLLI, P. F.; CAVASSIM, J. E.; GABE, H. L.; KUREK, A.; MATSUMOTO, M. N.; OLIVEIRA, M. A. R. de; PITOL, C.; PRADO, L. C.; STECKLING, C. Repository: BDPA Publication year: 2009
Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. Author(s): SCHULTZ, B.; BERTANI, G.; FORMAGGIO, A. R.; EBERHARDT, D. S.; LUIZ, A. J. B.; ATZBERGER, C. Repository: BDPA Publication year: 2014
Separation of Cultivars of Soybeans by Chemometric Methods Using Near Infrared Spectroscopy. Author(s): PANERO, J. S.; SILVA, H. E. B. da; PANERO, P. S.; SMIDERLE, O. J.; PANERO, F. S.; FARIA, F. S. E. D. V.; RODRIGUEZ, A. F. R. Repository: BDPA Publication year: 2018
Resultados da classificação comercial, conforme regulamento técnico da soja da Instrução Normativa Nº 11, de 15 de maio de 2007, do Ministério da Agricultura, Pecuária e Abastecimento, para amostras de grãos. Author(s): LORINI, I. Repository: BDPA Publication year: 2018
Resultados da classificação comercial, conforme regulamento técnico da soja da Instrução Normativa Nº 11, de 15 de maio de 2007, do Ministério da Agricultura, Pecuária e Abastecimento, para amostras de sementes de soja. Author(s): LORINI, I. Repository: BDPA Publication year: 2018
Untargeted metabolomics analysis by UHPLC-MS/MS of soybean plant in a compatible response to Phakopsora pachyrhizi infection. Author(s): SILVA, E.; GRAÇA, J. P. da; PORTO, C.; PRADO, R. M. do; NUNES, E. de O.; MARCELINO-GUIMARÃES, F. C.; MEYER, M. C.; PILAU, E. J. Abstract: Phakopsora pachyrhizi is a biotrophic fungus, causer of the disease Asian Soybean Rust, a severe crop disease of soybean and one that demands greater investment from producers. Thus, researc... ... Repository: BDPA Publication year: 2021

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