Vuppalapati, C. (2021) Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide [cd]. 1 st ed. 2021, International Series in Operations Research & Management Science. 1 st ed. 2021. Cham: Springer International Publishing. doi:10.1007/978-3-030-77485-1.
Chicago Manual of Style 17th edition (full note)Vuppalapati, Chandrasekar. Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide. Cd. International Series in Operations Research & Management Science. 1 st ed. 2021. Cham: Springer International Publishing, [2021?], Cham: Springer International Publishing, [2021?]. https://doi.org/10.1007/978-3-030-77485-1.
American Psychological Association 7th editionVuppalapati, C. (ca. 2021). Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide [Cd]. In International Series in Operations Research & Management Science (1 st ed. 2021). Springer International Publishing. https://doi.org/10.1007/978-3-030-77485-1
Modern Language Association 9th editionVuppalapati, C. „Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide“. International Series in Operations Research & Management Science, 1 st ed. 2021, cd, Springer International Publishing, 2021, https://doi.org/10.1007/978-3-030-77485-1.
ISO-690 (author-date, Deutsch)VUPPALAPATI, Chandrasekar, 2021. Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide. 1 st ed. 2021. Cham: Springer International Publishing. ISBN 9783030774851