Towards Protecting Agriculture from Exogenous and Endogenous Factors: An Holistic Architecture
Autor: | Panagiotis Sarigiannidis, Georgios Kakamoukas, Ioannis D. Moscholios |
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Rok vydání: | 2020 |
Předmět: |
Exploit
Process (engineering) Computer science business.industry Distributed computing 020302 automobile design & engineering 020206 networking & telecommunications Context (language use) Cloud computing 02 engineering and technology Field (computer science) 0203 mechanical engineering Agriculture 0202 electrical engineering electronic engineering information engineering Architecture business Wireless sensor network |
Zdroj: | CSNDSP |
Popis: | An holistic architecture that fosters the application of Smart Farming (SF) in the context of agriculture is proposed in this paper. The proposed architecture exploits the benefits of Internet of Things (IoT), by utilizing a) Wireless Sensor Networks (WSN) for real time monitoring and b) Unmanned Aerial Vehicles (UAVs) / flying Ad-hoc Networks (FANETs) for macroscopic monitoring of the field and inspecting the crops using multispectral cameras. The aggregated data coming from the monitoring process feed the cloud infrastructure, where Machine Learning (ML) and Computer Vision (CV) techniques are applied in order to protect plants from exogenous (e.g., pests) and endogenous (e.g., diseases) factors. |
Databáze: | OpenAIRE |
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