Abbaspour-Gilandeh, Y., Aghabara, A., Davari, M. und Maja, J.M. (2022) „Feasibility of Using Computer Vision and Artificial Intelligence Techniques in Detection of Some Apple Pests and Diseases.“, Applied Sciences (2076-3417), 12(2), S. 906-919. doi:10.3390/app12020906.
Chicago Manual of Style 17th edition (full note)Abbaspour-Gilandeh, Yousef, Abdollah Aghabara, Mahdi Davari, und Joe Mari Maja. „Feasibility of Using Computer Vision and Artificial Intelligence Techniques in Detection of Some Apple Pests and Diseases.“. Applied Sciences (2076-3417) 12, Nr. 2 (15. Januar 2022): 906-19. https://doi.org/10.3390/app12020906.
American Psychological Association 7th editionAbbaspour-Gilandeh, Y., Aghabara, A., Davari, M., & Maja, J. M. (2022). Feasibility of Using Computer Vision and Artificial Intelligence Techniques in Detection of Some Apple Pests and Diseases. Applied Sciences (2076-3417), 12(2), 906-919. https://doi.org/10.3390/app12020906
Modern Language Association 9th editionAbbaspour-Gilandeh, Y., A. Aghabara, M. Davari, und J. M. Maja. „Feasibility of Using Computer Vision and Artificial Intelligence Techniques in Detection of Some Apple Pests and Diseases.“. Applied Sciences (2076-3417), Bd. 12, Nr. 2, Januar 2022, S. 906-19, https://doi.org/10.3390/app12020906.
ISO-690 (author-date, Deutsch)ABBASPOUR-GILANDEH, Yousef, Abdollah AGHABARA, Mahdi DAVARI und Joe Mari MAJA, 2022. Feasibility of Using Computer Vision and Artificial Intelligence Techniques in Detection of Some Apple Pests and Diseases. Applied Sciences (2076-3417). 15 Januar 2022. Bd. 12, Nr. 2, S. 906-919. DOI 10.3390/app12020906