The Implementation of IoT in Healthcare, Agriculture, and Transportation

FREMONT, CA – The internet of things (IoT) is entering new sectors every day, transforming the traditional approaches and methods. Among all the industries, healthcare, agriculture, and transportation stand to gain the most from the IoT revolution.  IoT has taken user experience to the next level, making the life of consumers easier through connectivity, computing, and artificial intelligence (AI).

The ability of IoT to connect different devices has changed the face of technology, opening a new window of opportunities. The healthcare industry is employing new IoT-based techniques to deliver remote monitoring, healthcare delivery, and in-home diagnostics. Machine learning (ML) has enabled smart healthcare systems to integrate data streaming, medication tracking, and medical diagnosis, which not only enhances the patient experience but also reduces the time taken for hospital visits. IoT in the healthcare industry is also referred to as the internet of medical things (IoMT) and forms the link between medical devices, patient monitoring tools, wearables, and other sensors to generate accurate insights.

In the agricultural sector, IoT is empowering the farmers to manage their entire farm with a mere smartphone. It can be leveraged to connect sensors, cameras, irrigation equipment, and control them remotely. It also enables them to track moisture in the air, nutrients and acidity content in the soil, presence of pests, weather patterns, and much more. The insights and analytics allow farmers to make better decisions and optimize their yields.

IoT has sparked a chain of digital revolutions in the transportation industry. It has enhanced the user experience by enabling them to track traffic, parking spots, bus schedules, and maintenance work. Several city managements are deploying IoT technologies to connect roads, highways, signage, street lights, mass transit systems, and transport infrastructure to enhance transportation services. The integration of AI and ML, along with IoT, allows predictive analytics, which improves the safety and sustainability on the road.

The forecasting and predictive capabilities of AI and ML  reduce traffic disruptions to a significant extent. IoT allows remote control and management of operations across every sector, thus streamlining the processes. The practical implementation of IoT will not only accelerate growth but will also ensure higher efficiencies across the value chain.

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