Pregled bibliografske jedinice broj: 1231025
Building an Interoperable IoT Ecosystem for Data-Driven Agriculture
Building an Interoperable IoT Ecosystem for Data-Driven Agriculture // Proceedings of International Conference on Smart Systems and Technologies (SST 2022) / Cupec, Robert (ur.).
Osijek: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 331-337 doi:10.1109/SST55530.2022.9954641 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1231025 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Building an Interoperable IoT Ecosystem for Data-Driven Agriculture
(Building an Interoperable IoT Ecosystem for Data-Driven
Agriculture)
Autori
Tržec, Krunoslav ; Kušek, Mario ; Podnar Žarko, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of International Conference on Smart Systems and Technologies (SST 2022)
/ Cupec, Robert - Osijek : Institute of Electrical and Electronics Engineers (IEEE), 2022, 331-337
ISBN
978-1-6654-8214-1
Skup
International Conference on Smart Systems and Technologies 2022 (SST 2022)
Mjesto i datum
Osijek, Hrvatska, 19.10.2022. - 21.10.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
smart agriculture, IoT platform, interoperability, cloud-native architecture, microservices
Sažetak
Climate change with its extreme weather conditions and the shift to organic farming pose new challenges for crop production in Europe. Continuous and dense monitoring of crop condition and environmental parameters in the fields using various Internet of Things (IoT) devices creates Big Data for data-driven agriculture and provides the opportunity to address the above challenges. However, it is extremely complex to develop a large-scale system that integrates a variety of heterogeneous data sources to provide farmers and agronomists with simple and usable tools, such as assessing current field conditions, estimating crop stress levels, or determining the best time to apply certain cultivation practice. One of the solutions of this problem is to design and implement an interoperable IoT ecosystem for data-driven agriculture that turns the data from multiple sources into knowledge, giving rise to valuable insights and appropriate decisions based on the analysis of sensor measurements delivered from IoT devices. The paper presents the architecture and design of an ecosystem for data-driven agriculture which includes a cloud-native and microservice-based IoT platform. The novel contribution of our proposed approach is the IoT platform with effective interoperability solutions for integrating different types of edge devices used in agricultural practices for continuous monitoring of agrometeorological and crop conditions, as well as with flexible means for integrating different analytical and data visualization services ensured by strict access control mechanisms.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb