Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits
De-la-Torre, M.; Zatarain, O.; Avila-George, H.; Muñoz, M.; Oblitas, J.; Lozada, R.; Mejía, J.; Castro, W. Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits. Processes 2019, 7, 928. https://doi.org/10.3390/pr7120928
De-la-Torre M, Zatarain O, Avila-George H, Muñoz M, Oblitas J, Lozada R, Mejía J, Castro W. Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits. Processes. 2019; 7(12):928. https://doi.org/10.3390/pr7120928
Chicago/Turabian StyleDe-la-Torre, Miguel, Omar Zatarain, Himer Avila-George, Mirna Muñoz, Jimy Oblitas, Russel Lozada, Jezreel Mejía, and Wilson Castro. 2019. "Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits" Processes 7, no. 12: 928. https://doi.org/10.3390/pr7120928