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Plant Classification and Position Estimation for Autonomous Field Robots / Titelei/Inhaltsverzeichnis
Plant Classification and Position Estimation for Autonomous Field Robots / Titelei/Inhaltsverzeichnis
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Chapter
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Page
I–XII
Titelei/Inhaltsverzeichnis
I–XII
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1–8
1 Introduction
1–8
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1.1 Scope
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1.2 RelatedWork
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1.3 Contributions of the Thesis
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1.4 Structure of the Thesis
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9–23
2 Background: Computer Vision andMachine Learning
9–23
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2.1 Computer Vision
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2.2 Machine Learning
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2.3 Summary
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24–39
3 Multispectral Image Acquisition and Vegetation Segmentation
24–39
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3.1 Multispectral Field Image Acquisition
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3.2 Vegetation Segmentation
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3.3 Summary
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40–69
4 Plant Classification
40–69
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4.1 RelatedWork
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4.2 Novel Plant Classification Pipeline
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4.3 Offline Pipeline Training Steps
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4.4 Evaluation Criteria
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4.5 Parameter Selection
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4.6 Summary
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70–95
5 Plant Position Estimation
70–95
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5.1 RelatedWork
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5.2 Novel Plant Position Estimation Pipeline
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5.3 Training Phase
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5.4 Evaluation Criteria
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5.5 Parameter Selection
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5.6 Summary
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96–128
6 Experimental Results and Discussion
96–128
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6.1 Data Acquisition Robot and Dataset Properties
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6.2 Evaluation and Discussion of the Plant ClassificationMethod
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6.3 Evaluation and Discussion of the Plant Position EstimationMethod
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6.4 Combined System forWeed Control
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6.5 Summary
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129–138
7 Conclusion
129–138
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A Additional Results
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A.1 Results for the CropWeed Field Image Dataset
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A.2 Plant Classification Parameter Selection for Dataset B
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A.3 Plant Position Estimation Parameter Selection for Dataset B
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139–154
Bibliography
139–154
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Plant Classification and Position Estimation for Autonomous Field Robots , page I - XII
Titelei/Inhaltsverzeichnis
Autoren
Sebastian Haug
DOI
doi.org/10.51202/9783186870100-I
ISBN print: 978-3-18-387010-3
ISBN online: 978-3-18-687010-0
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doi.org/10.51202/9783186870100-I
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