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IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment

Filev Maia, Rodrigo, Ballester Lurbe, Carlos, Agrahari Baniya, Arbind and Hornbuckle, John 2020, IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment, Sensors, vol. 20, no. 24, pp. 1-21, doi: 10.3390/s20247163.

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Title IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment
Author(s) Filev Maia, RodrigoORCID iD for Filev Maia, Rodrigo orcid.org/0000-0003-4870-3429
Ballester Lurbe, CarlosORCID iD for Ballester Lurbe, Carlos orcid.org/0000-0002-6885-0883
Agrahari Baniya, ArbindORCID iD for Agrahari Baniya, Arbind orcid.org/0000-0003-0714-6646
Hornbuckle, JohnORCID iD for Hornbuckle, John orcid.org/0000-0003-0714-6646
Journal name Sensors
Volume number 20
Issue number 24
Article ID 7163
Start page 1
End page 21
Total pages 21
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2020-12-14
ISSN 1424-8220
Keyword(s) IoT platform
agriculture 4.0
irrigated crops
microservice
smart agriculture
Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
agriculture 4
PRECISION AGRICULTURE
Summary Research has shown the multitude of applications that Internet of Things (IoT), cloud computing, and forecast technologies present in every sector. In agriculture, one application is the monitoring of factors that influence crop development to assist in making crop management decisions. Research on the application of such technologies in agriculture has been mainly conducted at small experimental sites or under controlled conditions. This research has provided relevant insights and guidelines for the use of different types of sensors, application of a multitude of algorithms to forecast relevant parameters as well as architectural approaches of IoT platforms. However, research on the implementation of IoT platforms at the commercial scale is needed to identify platform requirements to properly function under such conditions. This article evaluates an IoT platform (IRRISENS) based on fully replicable microservices used to sense soil, crop, and atmosphere parameters, interact with third-party cloud services for scheduling irrigation and, potentially, control irrigation automatically. The proposed IoT platform was evaluated during one growing season at four commercial-scale farms on two broadacre irrigated crops with very different water management requirements (rice and cotton). Five main requirements for IoT platforms to be used in agriculture at commercial scale were identified from implementing IRRISENS as an irrigation support tool for rice and cotton production: scalability, flexibility, heterogeneity, robustness to failure, and security. The platform addressed all these requirements. The results showed that the microservice-based approach used is robust against both intermittent and critical failures in the field that could occur in any of the monitored sites. Further, processing or storage overload caused by datalogger malfunctioning or other reasons at one farm did not affect the platform’s performance. The platform was able to deal with different types of data heterogeneity. Since there are no shared microservices among farms, the IoT platform proposed here also provides data isolation, maintaining data confidentiality for each user, which is relevant in a commercial farm scenario.
Language eng
DOI 10.3390/s20247163
Indigenous content off
Field of Research 0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
0502 Environmental Science and Management
0602 Ecology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146989

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.