Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning
Karydas, C.; Iatrou, M.; Kouretas, D.; Patouna, A.; Iatrou, G.; Lazos, N.; Gewehr, S.; Tseni, X.; Tekos, F.; Zartaloudis, Z.; Mainos, E.; Mourelatos, S. Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning. Antioxidants 2020, 9, 156. https://doi.org/10.3390/antiox9020156
Karydas C, Iatrou M, Kouretas D, Patouna A, Iatrou G, Lazos N, Gewehr S, Tseni X, Tekos F, Zartaloudis Z, Mainos E, Mourelatos S. Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning. Antioxidants. 2020; 9(2):156. https://doi.org/10.3390/antiox9020156
Chicago/Turabian StyleKarydas, Christos; Iatrou, Miltiadis; Kouretas, Dimitrios; Patouna, Anastasia; Iatrou, George; Lazos, Nikolaos; Gewehr, Sandra; Tseni, Xanthi; Tekos, Fotis; Zartaloudis, Zois; Mainos, Evangelos; Mourelatos, Spiros. 2020. "Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning" Antioxidants 9, no. 2: 156. https://doi.org/10.3390/antiox9020156