Developing Innovative Solutions for Smart Agriculture

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Presentation transcript:

Developing Innovative Solutions for Smart Agriculture Experience of Elgazala Innovation Center, Tunisia Dr. Mohamed Hamdi, Founding Director, EIC

Configuration Collaborative working spaces Accelerators Connectivity Networking Communication Visibility Collaborative working spaces Funding Accelerators Experimentation labs Hosting innovative projects Doctoral & postdoctoral spaces

Multi-stakeholder model International labs FOI (NL) CNRS (FR) MIR Labs (USA) Beidou (CN) Project coordination Diagnostic and problem formulation Grant writing Deliverable management Result validation Multi-stakeholder model Funding Prototyping platforms Software development kits Fellowships & grants Projects (early stage) Proof of Concept Problem solving Assistance to protoype Technical support Training & capacity building Scientific supervision

Topics – Applications of IoT in … E-health Environment Smartgrid Cybersecurity

Three pilot projects in smart agriculture 01 Early detection of red palm weevil damage 02 Monitoring of pesticide usage 03 Real-time pipeline monitoring

Early detection of red palm weevil damage Started in Q1 - 2017 Dr. Timmo van der Beek Dutch physicist, expert in nanophotonics and imaging Objective Provides the farmer with state and locaton of disease

Early detection of red palm weevil damage Started in Q1 - 2017 Pilot: Mohamadia farm KSA.

Prototype in the early stage Started in Q1 - 2017

Prototype – current version

Autocorrelation speckle images of RPW larvaires Preliminary results Autocorrelation speckle images of RPW larvaires

Prototype – V2 Build setup on a drone. Do tests in Saudi-Arabia in collaboration with KSU and Mohamadia farm. Use images for other disease or agroproducton data.

Monitoring of pesticide usage Negative impact on human health

Preliminary results Dashboard – Sensor STM32 Evalboard - IoT Mobile application

Ongoing work – embed the prototype in a robot

Real-time pipeline monitoring Potential use in corrosion detection