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Automation and visions for the future

Global Future Farming SummitCEO & Prof. Ole Green, AGROINTELLI & Dept. of AgroEcology, Aarhus University

Birgitte Mikkelsen – Danish Technological Institute; Claus G. Sørensen, Lars Munkholm & Rene Gislum – Aarhus University

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Ole GreenTitle

CEO of AGROINTELLIProfessor at Aarhus University

EducationTrained farmer, Agro engineer,Agronomist, PhD Biosystem Eng.

ExpertiseAutomation and precision farmingTechnology and intelligent solutionsfor sustainable soil management

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The Agenda1. Challenges of

future farming2. Robotic design –

case specific or generic

3. Operations for robots in 2019

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To make global food production more reliable, sustainable and profitable

Our VISION

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To offer a generic fully automated farming system for arable farming on the global market

Our MISSION

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• Uniform repetitive working conditions

• Increasing resistance problems

• Increasing demand for food and feed

• Higher requirement for food safety

• Continual cost optimization

Our CHALLANGES

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• Reduced water infiltration capacity

• Increased risk of erosion

• Less bio diversity• Limited root growth

with lower soil volume access per plant

Yield reduction

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• Automation and robotics

• Precision farming and site specific management

• Big data and artificial Intelligence

SOLUTIONs

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Big data• Enabling single

batch site-specific quality traceability and documentation

• Real-time fleet management and optimization

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Environmental and agronomic awareness

Artificial intelligence• For plant health

evaluation, e.g. potato deceases

• Optimized site-specific weed management

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Environmental and agronomic awareness

Artificial intelligence• For plant health

evaluation, e.g. potato deceases

• Optimized site-specific weed management

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Environmental and agronomic awarenessArtificial intelligence• For site specific

nutrient application based upon real time classification of clover and grass

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Environmental and agronomic awarenessArtificial intelligence• For site specific

nutrient application based upon real time classification of clover and grass

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Robotic design – case specific or generic

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Robotic design – generic applications

Naio Dino

Agribot

Magnum

GreenBot

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Video from Naio Technologies, France

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Robotic design – case specific design

Naio OZ Weeding robot

EcoRobotix

Wall-Ye

AgroBot

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Video from EcoRobotix, Schweich

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Operations relevant for robots, anno 2019

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a versatile generic tool carrying platform for arable farming and horticultural production

Robotti is a machine, defined by Danish Technological Institute and FrauenhoferInstitute in Germany, for

ROBOTTI

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The IMPACT• Minimizes soil

compaction• Enables uniform

task performance• Ensures accurate

documentation• Brings important

feedback to the farm manager

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Summary1. Challenges of

future farming2. Robotic design –

case specific or generic

3. Operations for robots in 2019

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Thank you

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