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Counting wild flower heads using UAV Peter B. Sørensen, Beate Strandberg and Jesper L. Bak SCIENCE FOR THE ENVIRONMENT 2015 Aarhus University, Institute.

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Presentation on theme: "Counting wild flower heads using UAV Peter B. Sørensen, Beate Strandberg and Jesper L. Bak SCIENCE FOR THE ENVIRONMENT 2015 Aarhus University, Institute."— Presentation transcript:

1 Counting wild flower heads using UAV Peter B. Sørensen, Beate Strandberg and Jesper L. Bak SCIENCE FOR THE ENVIRONMENT 2015 Aarhus University, Institute of Bioscience, contact email: pbs@bios.au.dk

2 Background Wild flowering is important at ecosystem level (insect fauna, crop production, landscape beauty) Wild flowering is a plant community characteristic (heater, dandelion…) Flowering sensitive for agricultural activity (agrochemicals and nutrients) Wild flowering is sensitive to climatic conditions Wild flowering is easy to detect by vision and thus attractive for automatic records (pollinators uses their eyes…) SCIENCE FOR THE ENVIRONMENT 2015

3 Working hypothesis It is rather easy to detect flowers by vision, so a data collection and analyzing system will be highly effective to cover larger areas Some type flowers are more easy to detect than others, so the task is to identify good indicator flowers for fast identification techniques SCIENCE FOR THE ENVIRONMENT 2015

4 The PENTA project (Danish EPA) SCIENCE FOR THE ENVIRONMENT 2015 How do herbicides affect non-target terrestrial plants (NTTPs) at individual, population and ecosystem levels? As a small part of this project: Flowering of herbaceous species in natural and semi-natural habitats are applicable as indicator of herbicide exposure

5 Simple, basic, ”primitive” drone Cheap manually controlled flight Piece of hiking mattress used to take vibrations for the camera Basic compact camera that has to be adjusted before take off SCIENCE FOR THE ENVIRONMENT 2015 Version October 2015:

6 Testing area: Spray drift experiment SCIENCE FOR THE ENVIRONMENT 2015 Sprayed area Wind during spaying

7 High resolution, small area SCIENCE FOR THE ENVIRONMENT 2015

8 Simple, open source analysis tool SCIENCE FOR THE ENVIRONMENT 2015 Preprosessing colour Form Output stat

9 High resolution SCIENCE FOR THE ENVIRONMENT 2015 One miss (ligh too low) Acurate area Less acurate area (but counted as one) Correctly not counted (too small area) Correctly not counted (wrong shape)

10 Low resolution, large area SCIENCE FOR THE ENVIRONMENT 2015

11 Low resolution, simple technique SCIENCE FOR THE ENVIRONMENT 2015 Less obvious, also for manual classification Approx. right number But some errors, e.g. merging Different flowers difficult But not impossible

12 Conclusion SCIENCE FOR THE ENVIRONMENT 2015 Easy to use open source tools available for image analysis Source available for automatization (in java) and thus many-image processing possible Examples shown only few pages of code More sophisticated methods can be used K – means Template matching

13 Perspective SCIENCE FOR THE ENVIRONMENT 2015 More specific ground truthing will be made during winter 2015/16


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