Michal Kepka
ABSTRACT
Monitoring of environment conditions on a farm using the concepts of Smart Farming is able to bring benefits, by providing analyses backed by data aggregated from previously unavailable breadth of sources. However, it introduces several technical challenges in terms of integrating very heterogeneous data (sensors, vehicles, etc.), validating and fusing these types of data, and turning them into useful information for farmers and agronomists. We describe an open integration architecture designed to address the above challenges and needs, including components we developed and used in validation demonstrators that provide sensor data integration (SensLog) and external systems interoperability (OGC SensorThings API connector).
- Wolfert, S., Ge L., Verdouw C., Bogaardt M-J. Big data in smart farming - a review. Agriculture Systems 153 (2017) pp 69--80.Google Scholar
Cross Ref
- Kamilaris, A., et al. Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications. Proc. of the IEEE World Forum on Internet of Things (WF-IoT) (2016). Google ScholarCross Ref
- Taylor K., et al. Farming the web of things. Intelligent Systems, 28(6) (2013) pp 12--19.Google ScholarDigital Library
- REZNÍK, T., et al. Open data model for (precision) agriculture applications and agricultural pollution monitoring. In: EnviroInfo and ICT for Sustainability 2015. Atlantis Press, 2015. Google ScholarCross Ref
- PALMA, R., et al. An INSPIRE-based vocabulary for the publication of Agricultural Linked Data. In: International Experiences and Directions Workshop on OWL. Springer, Cham, 2015. p. 124--133. Google ScholarDigital Library
- CASTILLEJO, P. et al., "The AFarCloud ECSEL Project," 2019 22nd Euromicro Conference on Digital System Design (DSD), Kallithea, Greece, 2019, pp. 414--419 Google ScholarCross Ref
- AFarCloud Architecture Requirements and Definition, v2 (2020). Deliverable D2.3 of the ECSEL-2017-783221 project Aggregate Farming in the Cloud. Available from http://www.afarcloud.eu/deliverables/.Google Scholar
- KEPKA, M., et al. The SensLog platform-a solution for sensors and citizen observatories. In: International Symposium on Environmental Software Systems. Springer, Cham, 2017. p. 372--382. Google ScholarCross Ref
- Open Geospatial Consortium (OGC). OGC SensorThings API Part 1: Sensing; Open Geospatial Consortium Implementation Standard; Open Geospatial Consortium (OGC): Wayland, MA, USA, 2015; 15-078r6.Google Scholar
Index Terms
An open system for monitoring environmental phenomena: poster abstract
Recommendations
In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI)
Highlights- The use of LiDAR to segment fruit in fruit production has been confirmed.
- ...
AbstractA feasible method to analyse fruit at the tree is requested in precise production management. The employment of light detection and ranging (LiDAR) was approached aimed at measuring the number of fruit, quality-related size, and ...
Deployments of wide and local area wireless sensor networks for environmental studies
SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systemsRemote sensing at high temporal resolutions, via satellite or airborne imaging systems, is often technically difficult and prohibitively expensive. This frequently results in the need for low cost, high availability field-based instrumentation and data ...
Design of a hyperspectral nitrogen sensing system for orange leaves
The orange (Citrus sinensis) is one of the most important agricultural crops in Florida. Heavy reliance on agricultural chemicals and low fertilizer use efficiencies in citrus production have raised environmental and economic concerns. In this study, a ...
Comments