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Oliveira GSd, Santana DC, Oliveira ICd, Seron ACdSC, Baio FHR, Santos GAVd, da Silva Junior CA, Teodoro PE, Vaez RN, Alvarez RdCF, et al. Leaf and Seed Hyperspectral Signatures Enable Early and Accurate Prediction of Soybean Seed Quality. AgriEngineering. 2025; 7(12):424. https://doi.org/10.3390/agriengineering7120424

Oliveira, Gabriela Souza de, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Ana Carina da Silva Cândido Seron, Fábio Henrique Rojo Baio, Gleciane Aparecida Valério dos Santos, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Renato Nunes Vaez, Rita de Cássia Félix Alvarez, and et al. 2025. "Leaf and Seed Hyperspectral Signatures Enable Early and Accurate Prediction of Soybean Seed Quality" AgriEngineering 7, no. 12: 424. https://doi.org/10.3390/agriengineering7120424

Oliveira, G. S. d., Santana, D. C., Oliveira, I. C. d., Seron, A. C. d. S. C., Baio, F. H. R., Santos, G. A. V. d., da Silva Junior, C. A., Teodoro, P. E., Vaez, R. N., Alvarez, R. d. C. F., & Teodoro, L. P. R. (2025). Leaf and Seed Hyperspectral Signatures Enable Early and Accurate Prediction of Soybean Seed Quality. AgriEngineering, 7(12), 424. https://doi.org/10.3390/agriengineering7120424