FARMSENS Uros Zizek (Project Manager at TELESIS) Integration of - - PowerPoint PPT Presentation

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FARMSENS Uros Zizek (Project Manager at TELESIS) Integration of - - PowerPoint PPT Presentation

Mar 22, 2023 39 likes •202 views

FARMSENS Uros Zizek (Project Manager at TELESIS) Integration of Sensory Information into FEC3 the Farm Management Platform Paris, March 14-16, 2018 WWW.FED4FIRE.EU What is FARM MANAGER CLOUD-BASED SOLUTION FOR FARM MANAGEMENT AND PLANNING

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WWW.FED4FIRE.EU

FARMSENS

Integration of Sensory Information into the Farm Management Platform

FEC3

Paris, March 14-16, 2018

Uros Zizek (Project Manager at TELESIS)

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What is FARM MANAGER

CLOUD-BASED SOLUTION FOR FARM MANAGEMENT AND PLANNING OF OPERATIONS

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WWW.FED4FIRE.EU

  • to ensure technical conditions on the side of testbed resources (IoT

sensors) and Farm Manager

  • to execute live test run of data exchange between the sensors and our

platform, using at least 5 different types of sensors.

STAGE 1

3

Objectives of experiment

  • to scale-up the experiment and analyse the data
  • to test the performance and scalability

STAGE 2 (NOT SELECTED)

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  • Always aiming at improving our products
  • Introduce IoT technology in the Farm Manager
  • Provide highly value-adding products
  • Gain knowledge and expand to other areas

STRATEGY OF THE COMPANY

4

Background & motivation

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WWW.FED4FIRE.EU 5

Set-up of the experiment

Testbeds side:

  • w-iLab.t (zotac nodes)
  • Virtual Wall (physical nodes)

Product side:

  • DigitalOcean (VM)
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WWW.FED4FIRE.EU 6

Results of the experiment

Experiment was running live for 4 consecutive days:

  • 5 types of sensors (nodes)

used

  • 6 types of measurements
  • total 3504 sensory data

collected (584 per each type

  • f measurement)
  • we exported data and made

simple chart visualisation of them using online tool Plotly

Location 1 (Temperature, Pressure, Humidity)

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  • Objectives were successfully completed
  • We learned about the IoT sensors and integration of sensory

data into our farm management platform

  • We gained information about feasibility and prepared for the

Stage 2

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Conclusion & lessons learned

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  • FARM MANAGER is offered through a SaaS model
  • Calculations have based on a pre-defined formulas defined by

agriculture expert (no IoT involved)

  • Integration of sensory information improves calculations (also

in real-time)

  • Better product, higher added value
  • More competitive in the market

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Business impact (1/4)

GENERAL IMPACT ON THE BUSINESS AND PRODUCT

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  • Mainly collected information about the possibility of integrating

sensory data info FM

  • What to do/change in the Stage 2
  • We learned about the testbeds and other Fed4FIRE+ tools

(such as jFed, portal..).

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Business impact (2/4)

VALUE PERCEIVED

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  • Great testbed facilities and technical support
  • We don‘t have such facilities in our labs
  • Financial support – funding
  • We couldn‘t do it without help of Fed4FIRE+!

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Business impact (3/4)

WHY WE CHOSED FED4FIRE+

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  • Scale-up the experiment (more sensors, longer period)
  • Integrate sensory data from real fields
  • Improve calculations with a predictive model
  • Real-time data overview
  • Push to market & expand to other industries if possible

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Business impact (4/4)

FOLLOW-UP ACTIVITIES (COMMERCIAL, R&D)

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  • Virtual Wall (1 physical node)
  • W-iLab.t (2 wireless nodes – zotac)
  • Fed4FIRE+ portal
  • jFed
  • Documentation & examples

USED TESTBEDS & TOOLS

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Feedback to the federation (1/4)

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Most valuable components of Fed4FIRE+ are (in the order from highest to lowest importance):

1.

Testbed facilities and resources

2.

Documentation and tutorials

3.

Tools offered

ADDED VALUE OF FED4FIRE+

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Feedback to the federation (2/4)

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Hardly find some actually, but here they are:

  • more practical examples of experimenting with zotac nodes

and sensors attached to them

  • pre-installed scripts on the nodes
  • jFed is Java-based (we prefer web-based – subjective opinion)

WHAT‘S MISSING / WHAT COULD BE BETTER?

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Feedback to the federation (3/4)

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  • Testbeds should be offered to SMEs regardless of the funding
  • Blockchain testbeds would be interesting
  • FEC events are great & very helpful

OTHER FEEDBACK

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Feedback to the federation (4/4)

Thanks to the experiment we conducted within Fed4FIRE+, Telesis made one step closer with Farm Management platform to be integrated with live sensory information and provide improved predictive farm calculations.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme, which is co-funded by the European Commission and the Swiss State Secretariat for Education, Research and Innovation, under grant agreement No 732638.

WWW.FED4FIRE.EU