Smart farming IoT platform based on edge and cloud computing
By M. Zamora-Izquierdo, J. Santa, J. A. Martínez, V. Martínez, A. Skarmeta. Biosystems Engineering, 2019
424 citations recorded by the source corpus.
Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of Things (IoT) and cloud computing paradigms offer advances to enhance PA connectivity. Nevertheless, their usage in this field is usually limited to specific scenarios of high cost, and they are not adapted to semi-arid conditions, or do not cover all PA management in an efficient way. For this reason, we propose a flexible platform able to cope with soilless culture needs in full recirculation greenhouses using moderately saline water. It is based on exchangeable low-cost hardware and supported by a three-tier open source software platform at local, edge and cloud planes. At the local plane, Cyber-Physical Systems (CPS) interact with crop devices to gather data and perform real-time atomic control actions. The edge plane of the platform is in charge of monitoring and managing main PA tasks near the access network to increase system reliability against network access failures. Finally, the cloud platform collects current and past records and hosts data analytics modules in a FIWARE deployment. IoT protocols like Message Queue Telemetry Transport (MQTT) or Constrained Application Protocol (CoAP) are used to communicate with CPS, while Next Generation Service Interface (NGSI) is employed for southbound and northbound access to the cloud. The system has been completely instantiated in a real prototype in frames of the EU DrainUse project, allowing the control of a real hydroponic closed system through managing software for final farmers connected to the platform.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Plant Science
View Paper: https://www.semanticscholar.org/paper/0b02189d15ef82c23cc4305f4fceabc72807131e
How researchers see this paper
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In Computer Networks and Communications
- Choong Seon Hong
- Zhiguo Ding
- Jaime Lloret
- Nguyen H. Tran
- Long Bao Le
- Lei Shu
- Xing Yang
- Abdelouahid Derhab
In Electrical and Electronic Engineering
- Fang Fang
- Choong Seon Hong
- Zhiguo Ding
- Jaime Lloret
- Nguyen H. Tran
- Quoc-Viet Pham
- Long Bao Le
- Lei Shu
In Plant Science
Citations in the corpus
- Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “…this manuscript and approving it for publication was Jun Wu . agriculture using wireless sensor networks (WSNs) such as irrigation sensor network [11], prediction of frost events [12], precision soil farming [13], blind entity identification [14], smart farming [15], and precision agriculture [16].”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, positive): “of EU DrainUse project, [164] presented a local/edge/cloud three-tier platform for monitoring and managing soil-less agriculture in full re-circulation greenhouses using moderately saline water.”
- Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, background): “In [130], the authors proposed an approach based on an Open vSwitch extension, for multi-domain SDNs for agricultural WSNs.”
- IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture (2020, methodology): “There are nine papers where sensors for monitoring water flow are utilized [14,31,42,45,50,64,75,76,82].”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, positive): “In [81], the authors integrated PA with edge computing to enable real-time actions for better productivity.”