Tools and Techniques to Implement AIoT in Meteorological Applications

Abstract

Weather forecasting is an important role in meteorology and has long been one of the world's most systematically difficult problems. This plan deals with the structure of a weather display system that may be built by electronics hobbyists utilizing low-cost components. Severe weather occurrences present a challenging forecasting problem with just a partial explanation. Developing communication methods makes it possible. Technology-enabled applications provide severe weather alerts and advisories. The airline industry is highly sensitive to the weather. Accurate weather forecasting is crucial. The IoT enables agriculture, notably arable farming, to become data-driven, resulting in more timely and cost-effective farm production and management while lowering environmental impact. Applying AIoT and deep learning to smart agriculture combines the best of both worlds.

Decentralized digital twins of complex dynamical systems

“…The security and privacy risks of such linked and smart weather stations have also been highlighted as more focus switches to the internet of things (IoT) devices 44 . Additionally, we point readers to recent discussions on IoT uses for meteorological purposes and low-cost design of weather stations [45][46][47][48] . Furthermore, it is noteworthy that there is a contemporary inclination towards the utilization of federated large language models 49 .…”