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Internet-of-things in Motion
Smart Agriculture Internet-of-things in Motion Student: Taariq Ghansar Supervisor: Prof. A. Bagula
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Overview Introduction A Solution Approach Designer’s view Project Plan
Questions & Answers
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Introduction Concerns Climate patterns and water resources
Increase in populations Dependency on water Problem Over consumption of water in agriculture. Lack of water in some farm regions, influencing food chain. Approach to problem An intelligent way of controlling water supply in agriculture monitoring soil hydration using Internet-of-things in motion.
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A Solution Approach Internet of things-in-Motion (IoT-im) Framework:
Ground-based sensors: Terrestrial WSN Drone cluster: Airborne WSN Middleware: OpenStack cloud OS Dashboard Application Layer: Develop an app Mention and describe the term data muling. Table 1: Smart Agriculture Framework (Bottom-up view)
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Designer’s View Solution Expectations Autonomous monitoring service.
Sharing of the service to a large user base using a common app. Solution Non-Expectations Other soil factors such as nitrogen levels or bacteria & fungal infection monitoring.
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Project Plan Term Document Description 1 Project Analysis
Identify problem Gather Information Analyse the requirements 2 Design & Development Gather prototype requirements Design prototype and pseudocode Prototype equipment 3 Implementation Start developing end product Test and debug Documentation of code and technology used 4 Testing & Evaluation Design testing suites Execute the tests Fix anomalies Present Final Product
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Questions & Answers
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REFERENCES Framework adaptation:
Bagula, A., Tuyishimire, E., Wadepoel, J., Boudriga, N., & Rekhis, S. (2016, July). Internet-of-Things in Motion: A Cooperative Data Muling Model for Public Safety. In Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences (pp ). IEEE.
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