Can AI and Advanced IT Systems Truly Enhance Drone Autonomy in Precision Agriculture and Smart Logistics Despite Cybersecurity and Regulatory Barriers?
DOI:
https://doi.org/10.61173/7rhj6c08Keywords:
Drone Autonomy, Artificial Intelligence (AI), Precision Agriculture, Smart Logistics, CybersecurityAbstract
The only revolution experienced in this era within different sectors is the integration of drone systems and information technology (IT). The drones were once remotely operable, but this is no longer the case, as sophisticated IT-backed devices have taken over their operation. The systems, however, leverage the latest technology, including artificial intelligence (AI), data processing, and autonomous control systems, enabling them to perform previously unimaginable operations. The dissertation examines the contribution of IT to enhancing drone operations, ensuring they become more independent, precise, and efficient. The most important aspects to consider are the implementation of AI in decision-making, the process of data processing within the real-time analysis framework, and the development of viable control systems that are stable and operable in any context. The application of IT-enabled drones in precision agriculture, smart logistics, and environmental monitoring can be seen through the lens of the details provided in the case studies, which utilise technical techniques that will be the subject of the current study. The conclusion emphasises that IT-assisted drones are transforming industries and paving the way for new ecosystems that will address environmental and social challenges. This dissertation outlines what IT can be expected to contribute to this development, as the youngster in the family is likely to play a significant role in the future development of drone technologies.
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