Nikzadfar, M.; Rashvand, M.; Zhang, H.; Shenfield, A.; Genovese, F.; Altieri, G.; Matera, A.; Tornese, I.; Laveglia, S.; Paterna, G.;
et al. Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety. Appl. Sci. 2024, 14, 9821.
https://doi.org/10.3390/app14219821
AMA Style
Nikzadfar M, Rashvand M, Zhang H, Shenfield A, Genovese F, Altieri G, Matera A, Tornese I, Laveglia S, Paterna G,
et al. Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety. Applied Sciences. 2024; 14(21):9821.
https://doi.org/10.3390/app14219821
Chicago/Turabian Style
Nikzadfar, Mehrad, Mahdi Rashvand, Hongwei Zhang, Alex Shenfield, Francesco Genovese, Giuseppe Altieri, Attilio Matera, Iolanda Tornese, Sabina Laveglia, Giuliana Paterna,
and et al. 2024. "Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety" Applied Sciences 14, no. 21: 9821.
https://doi.org/10.3390/app14219821
APA Style
Nikzadfar, M., Rashvand, M., Zhang, H., Shenfield, A., Genovese, F., Altieri, G., Matera, A., Tornese, I., Laveglia, S., Paterna, G., Lovallo, C., Mammadov, O., Aykanat, B., & Di Renzo, G. C.
(2024). Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety. Applied Sciences, 14(21), 9821.
https://doi.org/10.3390/app14219821
