Precision agriculture is one of the global agricultural industry's new orientations. According to surveys, food demand is increasing significantly while production remains stagnant at present levels, making a food shortage more likely in the near future. The purpose of this article is to propose a solution for developing and implementing a monitoring platform for precision agriculture. The goal is to enhance product quality and boost productivity by implementing modern 5G technologies and autonomous Unmanned Aerial Vehicles (UAVs). The platform will employ specialized high-precision WSN (Wireless Sensor Network) sensors that will connect with the Cloud platform through a 6LoWPAN end -to-end protocol. Analyses have also been performed on the processing of the data and images collected with WSN and UAV, employing specialized classification algorithms to determine the risk of disease incidence, such as Random Forest and SVM (Support Vector Machine).
The data in healthcare systems are increasingly being shared through every single medical equipment, which is incorporated in IoT systems. Thus, the number of shared data increases, and medical IoT systems start to impose new challenges of securing them. This paper aims to present the implementation of a prototype based on a Raspberry Pi, which will measure air quality parameters in hospital rooms. The prototype will be secured through a TLS/SSL MQTT connection; henceforth, the shared data will be secure and protected against third-party attacks. The main application for this prototype will be based on an H2020 project, SAFECARE, that has the purpose of making a cyber-physical platform intended for healthcare systems. All the data from the prototype will be sent in real-time to the platform, and any anomaly reported will be dealt with immediately by first responder organizations (in case of a fire or a flood, etc.).
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