The growing demand to address environmental sustainability and climate change has emphasized the need for innovative solutions in supply chain and energy management. This study investigates the transformative role of the Internet of Things (IoT) in reducing carbon footprints and optimizing energy utilization within supply chains. A well-structured methodology was employed including regression modeling, cluster analysis, IoT simulation frameworks and optimization techniques. The data was collected from diverse energy and emission databases.
The metal wings of aircraft and the feathered wings of nature often compete for the same airspace. At times, this leads to collisions and may result in damage to aircraft and sometimes injuries or even death to passengers, crew, and wildlife too. Wildlife strikes are the consequence of various factors. These factors include migration of species, weather, time-of-day, phase of flight and the region of the flight’s route. However, some of the questions remain to be addressed with solid observational data.