Vuppalapati, C. (2023) Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence [cd]. 1 st ed. 2023, STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. 1 st ed. 2023. Cham: Springer Nature Switzerland. doi:10.1007/978-3-031-38399-1.
Chicago Manual of Style 17th edition (full note)Vuppalapati, Chandrasekar. Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence. Cd. STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. 1 st ed. 2023. Cham: Springer Nature Switzerland, [2023?], Cham: Springer Nature Switzerland, [2023?]. https://doi.org/10.1007/978-3-031-38399-1.
American Psychological Association 7th editionVuppalapati, C. (ca. 2023). Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence [Cd]. In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (1 st ed. 2023). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-38399-1
Modern Language Association 9th editionVuppalapati, C. „Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence“. STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health, 1 st ed. 2023, cd, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-38399-1.
ISO-690 (author-date, Deutsch)VUPPALAPATI, Chandrasekar, 2023. Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence. 1 st ed. 2023. Cham: Springer Nature Switzerland. ISBN 9783031383991