Article Versions Notes

Oliveira CAd, Vedana NG, Mendonça WA, Gonçalves JVF, Matos DHSd, Furlanetto RH, Crusiol LGT, Reis AS, Antunes WC, Oliveira RBd, et al. High-Throughput Identification and Prediction of Early Stress Markers in Soybean Under Progressive Water Regimes via Hyperspectral Spectroscopy and Machine Learning. Remote Sensing. 2025; 17(20):3409. https://doi.org/10.3390/rs17203409

Oliveira, Caio Almeida de, Nicole Ghinzelli Vedana, Weslei Augusto Mendonça, João Vitor Ferreira Gonçalves, Dheynne Heyre Silva de Matos, Renato Herrig Furlanetto, Luis Guilherme Teixeira Crusiol, Amanda Silveira Reis, Werner Camargos Antunes, Roney Berti de Oliveira, and et al. 2025. "High-Throughput Identification and Prediction of Early Stress Markers in Soybean Under Progressive Water Regimes via Hyperspectral Spectroscopy and Machine Learning" Remote Sensing 17, no. 20: 3409. https://doi.org/10.3390/rs17203409

Oliveira, C. A. d., Vedana, N. G., Mendonça, W. A., Gonçalves, J. V. F., Matos, D. H. S. d., Furlanetto, R. H., Crusiol, L. G. T., Reis, A. S., Antunes, W. C., Oliveira, R. B. d., Chicati, M. L., Demattê, J. A. M., Nanni, M. R., & Falcioni, R. (2025). High-Throughput Identification and Prediction of Early Stress Markers in Soybean Under Progressive Water Regimes via Hyperspectral Spectroscopy and Machine Learning. Remote Sensing, 17(20), 3409. https://doi.org/10.3390/rs17203409