An architecture and its tools for integrating IoT and BPMN in agriculture scenarios

Agricultural greenhouses have improved productivity in the cultivation of specific crops. Efforts towards the automation of these environments have been carried out with the application of different technologies. However, the absence of a solution that comprises a complete chain of the automation process has been noted. Internet of Things (IoT) is a technology that can offer solutions for the modernization of agricultural environments, making it possible to automate processes, to predict situations, and to improve production activities. Moreover, IoT solutions and businesses process should be integrated into a common framework to provide a more efficient production process control, since business rules are often dynamic and might vary according to agriculture practices. In this fashion, we propose an architecture for sensing and actuating in controlled agricultural environments using business rules modeling as the central artifact for the automation of production chains. To validate the proposed architecture, we present a case study in which we describe the implementation and tools to support vegetable production. The study showed that the architecture is feasible to monitor crops, to collaborate to maximize yield and to control the use of inputs and agrochemicals. Furthermore, it caters for culture monitoring in real time, offering information to producers to aid decision making.

[1]  Noman Islam,et al.  A review of wireless sensors and networks' applications in agriculture , 2014, Comput. Stand. Interfaces.

[2]  Laura Suciu,et al.  Integrated sensor-based monitoring system for pest and disease control in greenhouses. , 2012, Communications in agricultural and applied biological sciences.

[3]  N. Castilla,et al.  Good Agricultural Practices for greenhouse vegetable crops: principles for Mediterranean climate areas , 2013 .

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

[5]  Juan Manuel Cueva Lovelle,et al.  BPMN MUSIM: Approach to improve the domain expert's efficiency in business processes modeling for the generation of specific software applications , 2014, Expert Syst. Appl..

[6]  M. Jensen Controlled environment agriculture in deserts, tropics and temperate regions - a world review , 2002 .

[7]  Vangelis Metsis,et al.  IoT Middleware: A Survey on Issues and Enabling Technologies , 2017, IEEE Internet of Things Journal.

[8]  Narendra Singh Raghuwanshi,et al.  Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges , 2015, Comput. Electron. Agric..

[9]  N. Grassly,et al.  United Nations Department of Economic and Social Affairs/population Division , 2022 .

[10]  Karim Foughali,et al.  Monitoring system using web of things in precision agriculture , 2017, FNC/MobiSPC.

[11]  Bo Hu,et al.  Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends , 2015, 2015 IEEE 8th International Conference on Cloud Computing.

[12]  Yousef E. M. Hamouda,et al.  Precision Agriculture for Greenhouses Using a Wireless Sensor Network , 2017, 2017 Palestinian International Conference on Information and Communication Technology (PICICT).

[13]  Karl Aberer,et al.  The Global Sensor Networks middleware for efficient and flexible deployment and interconnection of sensor networks , 2006 .

[14]  G. V. Satyanarayana,et al.  Wireless Sensor Based Remote Monitoring System for Agriculture Using ZigBee and GPS , 2013 .

[15]  Jangwoo Park,et al.  Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System for Dew Condensation Prevention , 2011, Sensors.

[16]  J Waworuntu,et al.  A Comparative of business process modelling techniques , 2016 .

[17]  Nikesh Gondchawar,et al.  IOT BASED SMART AGRICULTURE , 2021, Journal of Manufacturing Engineering.

[18]  Calvin D. Perry,et al.  A real-time wireless smart sensor array for scheduling irrigation , 2008 .

[19]  Jairo Alejandro Gomez,et al.  Review of IoT applications in agro-industrial and environmental fields , 2017, Comput. Electron. Agric..

[20]  G. Aiello,et al.  A decision support system based on multisensor data fusion for sustainable greenhouse management , 2018 .

[21]  Francisco Rodríguez,et al.  Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control , 2009, Sensors.

[22]  B. Tekinerdogan,et al.  Internet of Things in agriculture , 2016 .

[23]  Cristina Venera Geambasu,et al.  BPMN VS. UML ACTIVITY DIAGRAM FOR BUSINESS PROCESS MODELING , 2012 .

[24]  Miguel Damas,et al.  HidroBus® system: fieldbus for integrated management of extensive areas of irrigated land , 2001, Microprocess. Microsystems.

[25]  Munagala Manoj Venkata Sai,et al.  Iot Based Smart Agriculture , 2018 .

[26]  Allan Leck Jensen,et al.  Pl@nteInfo® : a web-based system for personalised decision support in crop management , 2000 .

[27]  Silvana Rossetto,et al.  Modeling and automatic code generation for wireless sensor network applications using model-driven or business process approaches: A systematic mapping study , 2017, J. Syst. Softw..