Vuppalapati, C. [ca. 2023]. Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence. In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (1 st ed. 2023) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-38399-1
ISO-690 (author-date, English)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.
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.
Mohr Siebeck - Recht (Deutsch - Österreich)Vuppalapati, Chandrasekar: Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence, 1 st ed. 2023. Aufl. Cham 2023.
Emerald - HarvardVuppalapati, C. (2023), 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., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-38399-1.