The overall food system nearly reached the next strategic inflection point. IoT technology, data sharing and consumers’ demand for sustainable production methods are pushing limits. More than ever, agricultural production needs to deploy knowledge intensive farming practices and increase data sharing. Existing data exchange platforms need to become open data exchange ecosystems managing data owners’ consent and facilitate dynamic collaboration of stakeholders. This shall increase productivity and reduce food loss and waste of the circular food system from Farm2Fork.
FIWARE open-source software and agri-food data models are a cornerstone to facilitate this development. New sources of data can be made accessible, while decreasing effort for aggregating, processing, providing, and accessing data. This session is presenting different practical examples for data usage at the farm site and of partners collaborating along the food supply chain towards consumers helping them to learn about their choices.
The session will also summarise challenges and opportunities of the future of connected agriculture. This is specifically considering a technological perspective. At the same time, you will have the opportunity to meet colleagues from different sectors and business domains, aiming at building the foundation of the future data economy for food systems. This will offer the opportunity to learn about synergies considering the close integration of agriculture in smart villages as well as advanced food production and delivery systems that are at the heart of smart cities.
1. Vienna, Austria
12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
Combining earth observation
data with ground IoT truth for
advanced services – PixelTwins
2. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
PixelTwins
This project was supported by ESA via a Discovery
element contract (contract number 4000137251)
10. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
ground IoT truth for advanced services
Combining earth observation data with
Challenge
11. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Pixel Twins
EO data
▪ Area-wide information
▪ Possible data (Sentinel-2 L1C)
• Short wave infrared composite (SWIR)
• Normalized Difference Moisture Index (NDMI)
• Normalized Difference Vegetation Index (NDVI)
IoT data source
▪ Local data
• Position/Pixel of sensor
▪ Select important data
• E.g. soil moisture data
12. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
How it works
2. Draw polygon
1. Find region of interest
3. Create pixels
4. Apply EO data
5. Merge with IOT data
13. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Demonstration Video Real world data from Hungary
14. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Schemas
▪ Area
• Location and shape
• Pixels IDs in Area
▪ Pixel
• Location and shape
• Current IoT and Satellite data
▪ SentinelhubDataProvider (Satellite data)
• Reference Area ID
• All information required for calling the API
• FIWARE subscription path
• Satellite data from the last call
▪ Sensor, SensorDevice, DataLogger (IoT data)
• Location
• IoT data
…
15. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Satellite data
Data interpolation
Interpolation Scheme
Satellite data +
IoT data
1 2
Linear Interpolation with fixed max distance
Example
16. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Implementation
Improved
map
data
data
Improved
services
collect & translation
FIWARE
Context broker
DB
Kubernetes
Server (local/cloud)
eg. autonomous
agriculture
17. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Possible future services
• Precise irrigation water reduction + uniform irrigation
• Precise fertilizer application fertilizer reduction + uniform fertilization
• Trajectory optimization efficient use of energy and materials
• Open agricultural data utilization by autonomous systems
DJI Agras T30 | www.dji.com John Deere Sesam 2 | www.futurefarming.com
www.deere.de FarmDroid FD20 | www.lko.at
18. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Dr. Johann Hoffelner
Chief Scientific Officer
Linz Center of Mechatronics GmbH
Altenbergerstraße 69 | 4040 Linz | Austria
Phone: 0043 (0)732 / 2468 - 6004
Mobil: 0043 (0)664 / 8481307
johann.hoffelner@lcm.at
www.lcm.at
Photo credits: Werner Harrer
picture credits: Werner Harrer
19. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
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