Almalki, F. A., & Angelides, M. C. (2024). A synthesis of machine learning and internet of things in developing autonomous fleets of heterogeneous unmanned aerial vehicles for enhancing the regenerative farming cycle. Computing, 106(12), 4167-4192. https://doi.org/10.1007/s00607-024-01347-1
Chicago Style (17th ed.) CitationAlmalki, Faris A., and Marios C. Angelides. "A Synthesis of Machine Learning and Internet of Things in Developing Autonomous Fleets of Heterogeneous Unmanned Aerial Vehicles for Enhancing the Regenerative Farming Cycle." Computing 106, no. 12 (2024): 4167-4192. https://doi.org/10.1007/s00607-024-01347-1.
MLA (9th ed.) CitationAlmalki, Faris A., and Marios C. Angelides. "A Synthesis of Machine Learning and Internet of Things in Developing Autonomous Fleets of Heterogeneous Unmanned Aerial Vehicles for Enhancing the Regenerative Farming Cycle." Computing, vol. 106, no. 12, 2024, pp. 4167-4192, https://doi.org/10.1007/s00607-024-01347-1.