Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.

MLA

Santana, Dthenifer Cordeiro, et al. “Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.” AgriEngineering, vol. 6, no. 2, June 2024, pp. 1581–93. EBSCOhost, https://doi.org/10.3390/agriengineering6020090.

APA

Santana, D. C., de Oliveira, I. C., Cavalheiro, S. B., das Chagas, P. H. M., Teixeira Filho, M. C. M., Della-Silva, J. L., Teodoro, L. P. R., Campos, C. N. S., Baio, F. H. R., da Silva Junior, C. A., & Teodoro, P. E. (2024). Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor. AgriEngineering, 6(2), 1581–1593. https://doi.org/10.3390/agriengineering6020090

Chicago

Santana, Dthenifer Cordeiro, Izabela Cristina de Oliveira, Sâmela Beutinger Cavalheiro, Paulo Henrique Menezes das Chagas, Marcelo Carvalho Minhoto Teixeira Filho, João Lucas Della-Silva, Larissa Pereira Ribeiro Teodoro, et al. 2024. “Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.” AgriEngineering 6 (2): 1581–93. doi:10.3390/agriengineering6020090.