Agricultural cyber-physical system enabled for remote management of solar-powered precision irrigation

Recently, several works have been focused on designing and optimising the use of Agricultural Cyber-Physical System (ACPS). Therefore, a variety of ACPSs has been developed for the management of different services in precision agriculture. In this context, we present a new approach to the cyberisation of solar photovoltaic water systems (SPVWS) for remote irrigation management. A typical ACPS architecture design is adopted and extended to support the solar irrigation facility. The distributed architecture is based on the client–server paradigm using Vert.x as a reactive platform, which guarantees a bi-directional communication between the operational level deployed in the greenhouse and the supervisory level hosted in the cloud. The operational level deploys embedded devices which host a set of event-driven components responsible for transmitting external resources data, handling notifications, and executing orders provided at the supervisory level. The cloud incorporates several reactive micro-services performing advanced analyses and data mining in order to support remote control tasks. Within this architecture, users with different roles can remotely monitor and manage the activities of the SPVWS. A successful case study of an experimental greenhouse demonstrated the feasibility of the approach in term of low-cost and good performance in task management.

[1]  Fred Popowich,et al.  A Smarter Smart Home: Case Studies of Ambient Intelligence , 2013, IEEE Pervasive Computing.

[2]  M. Nagaraju Naik,et al.  Review of solar photovoltaic water pumping system technology for irrigation and community drinking water supplies , 2015 .

[3]  Suat Irmak,et al.  Autonomous precision agriculture through integration of wireless underground sensor networks with center pivot irrigation systems , 2013, Ad Hoc Networks.

[4]  A. Ed-Dahhak,et al.  Implementation of Fuzzy Controller to Reduce Water Irrigation in Greenhouse Using Labview , 2013 .

[5]  H. Navarro-Hellín,et al.  A software architecture based on FIWARE cloud for Precision Agriculture , 2017 .

[6]  Edward A. Lee CPS foundations , 2010, Design Automation Conference.

[7]  Tim Hilgert,et al.  Optimization of Individual Travel Behavior through Customized Mobility Services and their Effects on Travel Demand and Transportation Systems , 2016 .

[8]  Viacheslav I. Adamchuk,et al.  Agriculture Cyber-Physical Systems , 2017 .

[9]  Rui-Yang Chen,et al.  An intelligent value stream-based approach to collaboration of food traceability cyber physical system by fog computing , 2017 .

[10]  Hakki Ozgur Unver,et al.  Design and development of a low-cost solar powered drip irrigation system using Systems Modeling Language , 2015 .

[11]  Kiseon Kim,et al.  A review on application of technology systems, standards and interfaces for agriculture and food sector , 2013, Comput. Stand. Interfaces.

[12]  Liisa Pesonen,et al.  Cropinfra – An Internet-based service infrastructure to support crop production in future farms , 2014 .

[13]  A. Selmani,et al.  Synthesis of an Optimal Dynamic Regulator Based on Linear Quadratic Gaussian (LQG) for the Control of the Relative Humidity under Experimental Greenhouse , 2016 .

[14]  Birgit Vogel-Heuser,et al.  Design, modelling, simulation and integration of cyber physical systems: Methods and applications , 2016, Comput. Ind..

[15]  A. Ed-Dahhak,et al.  Development of a data acquisition and greenhouse control system based on GSM , 2012 .

[16]  A. Selmani,et al.  A neural network dynamic model for temperature and relative humidity control under greenhouse , 2015, 2015 Third International Workshop on RFID And Adaptive Wireless Sensor Networks (RAWSN).

[17]  Juan Agüera,et al.  Autonomous systems for precise spraying – Evaluation of a robotised patch sprayer , 2016 .

[18]  Nengcheng Chen,et al.  Integrated open geospatial web service enabled cyber-physical information infrastructure for precision agriculture monitoring , 2015, Comput. Electron. Agric..

[19]  Pedro Sánchez-Palma,et al.  TRIoT: A Proposal for Deploying Teleo-Reactive Nodes for IoT Systems , 2017, PAAMS.

[20]  Alfonso García-Ferrer,et al.  Open source hardware to monitor environmental parameters in precision agriculture , 2015 .

[21]  A. Ed-Dahhak,et al.  Implementation of Direct Fuzzy Controller In Greenhouse Based on Labview , 2013 .

[22]  Ciprian-Radu Rad,et al.  Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture , 2015 .

[23]  Alessandro De Gloria,et al.  A Low-Cost, Open-Source Cyber Physical System for Automated, Remotely Controlled Precision Agriculture , 2016, ApplePies.

[24]  Thomas Bartzanas,et al.  Internet of Things in agriculture, recent advances and future challenges , 2017 .

[25]  Yasin Kabalci,et al.  Design and implementation of a solar plant and irrigation system with remote monitoring and remote control infrastructures , 2016 .

[26]  Bernhard Schätz,et al.  Characterization, Analysis, and Recommendations for Exploiting the Opportunities of Cyber-Physical Systems , 2017 .

[27]  Sérgio Leitão,et al.  Greenhouse with Sustainable Energy for IoT , 2016, DoCEIS.

[28]  Eduardo Jacob,et al.  Software-defined networking in cyber-physical systems: A survey , 2017, Comput. Electr. Eng..

[29]  A. Selmani,et al.  High-Order Sliding Mode Control of Greenhouse Temperature , 2016 .

[30]  A. Ed-Dahhak,et al.  Feedback Techniques Using PID and PIIntelligentFor Greenhouse Temperature Control , 2014 .

[31]  Xiao Hua Li,et al.  A Precision Agriculture Architecture with Cyber-Physical Systems Design Technology , 2014 .

[32]  Vladimir Vujovic,et al.  Raspberry Pi as a Sensor Web node for home automation , 2015, Comput. Electr. Eng..

[33]  Vilas R. Kalamkar,et al.  Solar photovoltaic water pumping system - A comprehensive review , 2016 .