Taghinezhad, E., Szumny, A., & Figiel, A. (2023). The Application of Hyperspectral Imaging Technologies for the Prediction and Measurement of the Moisture Content of Various Agricultural Crops during the Drying Process. Molecules, 28(7), 2930. https://doi.org/10.3390/molecules28072930
Chicago Style (17th ed.) CitationTaghinezhad, Ebrahim, Antoni Szumny, and Adam Figiel. "The Application of Hyperspectral Imaging Technologies for the Prediction and Measurement of the Moisture Content of Various Agricultural Crops During the Drying Process." Molecules 28, no. 7 (2023): 2930. https://doi.org/10.3390/molecules28072930.
MLA (9th ed.) CitationTaghinezhad, Ebrahim, et al. "The Application of Hyperspectral Imaging Technologies for the Prediction and Measurement of the Moisture Content of Various Agricultural Crops During the Drying Process." Molecules, vol. 28, no. 7, 2023, p. 2930, https://doi.org/10.3390/molecules28072930.