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Alves VCD, de Lima SF, Santana DC, Barreto RF, da Cunha RA, da Silva Cândido Seron AC, Teodoro LPR, Teodoro PE, de Cássia Félix Alvarez R, Campos CNS, et al. Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning. AgriEngineering. 2025; 7(6):170. https://doi.org/10.3390/agriengineering7060170

Alves, Vitória Carolina Dantas, Sebastião Ferreira de Lima, Dthenifer Cordeiro Santana, Rafael Ferreira Barreto, Roger Augusto da Cunha, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Rita de Cássia Félix Alvarez, Cid Naudi Silva Campos, and et al. 2025. "Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning" AgriEngineering 7, no. 6: 170. https://doi.org/10.3390/agriengineering7060170

Alves, V. C. D., de Lima, S. F., Santana, D. C., Barreto, R. F., da Cunha, R. A., da Silva Cândido Seron, A. C., Teodoro, L. P. R., Teodoro, P. E., de Cássia Félix Alvarez, R., Campos, C. N. S., da Silva Junior, C. A., & Mingotte, F. L. C. (2025). Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning. AgriEngineering, 7(6), 170. https://doi.org/10.3390/agriengineering7060170