| Title | AEaaS: Artificial Intelligence Edge-of-Things as a Service for Intelligent Remote Farm Security and Intrusion Detection Pre-alarm System |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Obien, Joan Baez, Calinao, Victor, Bautista, Mary Grace, Dadios, Elmer, Jose, John Anthony, Concepcion, Ronnie |
| Conference Name | 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) |
| Date Published | dec |
| Keywords | cloud computing, composability, Computer architecture, edge computing, edge detection, farm security system, fog, Image edge detection, Intrusion detection, IoT, Metrics, pubcrawl, Real-time Systems, resilience, Resiliency, Scalability, security, Smart agriculture, Systematics |
| Abstract | With the continues growth of our technology, majority in our sectors are becoming smart and one of its great applications is in agriculture, which we call it as smart farming. The application of sensors, IoT, artificial intelligence, networking in the agricultural setting with the main purpose of increasing crop production and security level. With this advancement in farming, this provides a lot of privileges like remote monitoring, optimization of produce and too many to mention. In light of the thorough systematic analysis performed in this study, it was discovered that Edge-of-things is a potential computing scheme that could boost an artificial intelligence for intelligent remote farm security and intrusion detection pre-alarm system over other computing schemes. Again, the purpose of this study is not to replace existing cloud computing, but rather to highlight the potential of the Edge. The Edge architecture improves end-user experience by improving the time-related response of the system. response time of the system. One of the strengths of this system is to provide time-critical response service to make a decision with almost no delay, making it ideal for a farm security setting. Moreover, this study discussed the comparative analysis of Cloud, Fog and Edge in relation to farm security, the demand for a farm security system and the tools needed to materialize an Edge computing in a farm environment. |
| DOI | 10.1109/HNICEM57413.2022.10109572 |
| Citation Key | obien_aeaas_2022 |
AEaaS: Artificial Intelligence Edge-of-Things as a Service for Intelligent Remote Farm Security and Intrusion Detection Pre-alarm System