Article Versions Notes

Karydas C, Iatrou M, Kouretas D, Patouna A, Iatrou G, Lazos N, Gewehr S, Tseni X, Tekos F, Zartaloudis Z, et al. 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

Karydas, Christos, Miltiadis Iatrou, Dimitrios Kouretas, Anastasia Patouna, George Iatrou, Nikolaos Lazos, Sandra Gewehr, Xanthi Tseni, Fotis Tekos, Zois Zartaloudis, and et al. 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

Karydas, C., Iatrou, M., Kouretas, D., Patouna, A., Iatrou, G., Lazos, N., Gewehr, S., Tseni, X., Tekos, F., Zartaloudis, Z., Mainos, E., & Mourelatos, S. (2020). Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning. Antioxidants, 9(2), 156. https://doi.org/10.3390/antiox9020156