Article Versions Notes

Martins GA, Baesso MM, Devechio FdFdS, Tech ARB, Regazzo JR, Ricci CEN, Leão MdL. Using Machine Learning and RGB Images to Assess Nitrogen and Potassium Status in Sorghum (Sorghum bicolor L.) Under Field Conditions. AgriEngineering. 2025; 7(11):367. https://doi.org/10.3390/agriengineering7110367

Martins, Guilherme Augusto, Murilo Mesquita Baesso, Fernanda de Fátima da Silva Devechio, Adriano Rogério Bruno Tech, Jamile Raquel Regazzo, Carlos Eduardo Nunes Ricci, and Murilo de Lima Leão. 2025. "Using Machine Learning and RGB Images to Assess Nitrogen and Potassium Status in Sorghum (Sorghum bicolor L.) Under Field Conditions" AgriEngineering 7, no. 11: 367. https://doi.org/10.3390/agriengineering7110367

Martins, G. A., Baesso, M. M., Devechio, F. d. F. d. S., Tech, A. R. B., Regazzo, J. R., Ricci, C. E. N., & Leão, M. d. L. (2025). Using Machine Learning and RGB Images to Assess Nitrogen and Potassium Status in Sorghum (Sorghum bicolor L.) Under Field Conditions. AgriEngineering, 7(11), 367. https://doi.org/10.3390/agriengineering7110367