MDPI and ACS Style
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.;
et al. Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor. AgriEngineering 2024, 6, 1581-1593.
https://doi.org/10.3390/agriengineering6020090
AMA Style
Santana DC, de Oliveira IC, Cavalheiro SB, das Chagas PHM, Teixeira Filho MCM, Della-Silva JL, Teodoro LPR, Campos CNS, Baio FHR, da Silva Junior CA,
et al. Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor. AgriEngineering. 2024; 6(2):1581-1593.
https://doi.org/10.3390/agriengineering6020090
Chicago/Turabian Style
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, Cid Naudi Silva Campos, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior,
and et al. 2024. "Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor" AgriEngineering 6, no. 2: 1581-1593.
https://doi.org/10.3390/agriengineering6020090
