Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Göttingen
Cuvillier Verlag
2020
|
| Ausgabe: | 1. Auflage |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 94 Seiten Illustrationen, Diagramme 21 cm, 212 g |
| ISBN: | 9783736971783 |
Internformat
MARC
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| 005 | 20231220 | ||
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| 008 | 201007s2020 gw a||| m||| 00||| eng d | ||
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| 020 | |a 9783736971783 |c Broschur : EUR 29.90 (DE), EUR 30.80 (AT) |9 978-3-7369-7178-3 | ||
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| 100 | 1 | |a Mink, Robin |0 (DE-588)1147406677 |4 aut | |
| 245 | 1 | 0 | |a Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |c submitted by Robin Mink |
| 250 | |a 1. Auflage | ||
| 264 | 1 | |a Göttingen |b Cuvillier Verlag |c 2020 | |
| 300 | |a 94 Seiten |b Illustrationen, Diagramme |c 21 cm, 212 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c University of Hohenheim |d 2019 | ||
| 650 | 0 | 7 | |a Überwachung |0 (DE-588)4134175-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Herbizid |0 (DE-588)4113887-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Unkrautbekämpfung |0 (DE-588)4061839-0 |2 gnd |9 rswk-swf |
| 653 | |a Phytomedicine | ||
| 653 | |a Zweikeimblättrige Unkräuter | ||
| 653 | |a Hyperspektralsensor | ||
| 653 | |a Monocotyledon Weeds | ||
| 653 | |a Unmanned Aerial Vehicle | ||
| 653 | |a UAV-imagery | ||
| 653 | |a vegetation indices | ||
| 653 | |a Teilflächenspezifische Herbizidapplikation | ||
| 653 | |a Unkrauterkennung | ||
| 653 | |a Herbicide resistance classification | ||
| 653 | |a Hyperspektrale Pflanzenreflexion | ||
| 653 | |a Herbizidresistenz | ||
| 653 | |a Herbizidreduktion | ||
| 653 | |a Rumex crispus | ||
| 653 | |a Künstliche Intelligenz | ||
| 653 | |a Hyperspectral plant reflectance | ||
| 653 | |a Cirsium arvense | ||
| 653 | |a Vegetationsindex | ||
| 653 | |a Herbizid-Safener | ||
| 653 | |a Herbicide resistance monitoring | ||
| 653 | |a Artificial neural network | ||
| 653 | |a Herbicide resistance | ||
| 653 | |a Unkrautforschung | ||
| 653 | |a UAV remote sensing | ||
| 653 | |a Weed detection | ||
| 653 | |a UAV-Bilder | ||
| 653 | |a Herbology | ||
| 653 | |a Pyhtomedizin | ||
| 653 | |a Identifizierung der Dateneingabe | ||
| 653 | |a UAV-Unkrautkartierung | ||
| 653 | |a Hyperspectral sensor | ||
| 653 | |a Herbicide Safener | ||
| 653 | |a UAV-Fernerkundung | ||
| 653 | |a ALS-resistance | ||
| 653 | |a precision farming | ||
| 653 | |a ALS-Resistenz | ||
| 653 | |a Data input identification | ||
| 653 | |a aerial imagery | ||
| 653 | |a Künstliches Neuronales Netzwerk | ||
| 653 | |a Stellaria media | ||
| 653 | |a Klassifizierung der Herbizidresistenz | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Präzisions Landwirtschaft | ||
| 653 | |a prescription map | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Unkrautbekämpfung |0 (DE-588)4061839-0 |D s |
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| 710 | 2 | |a Eric Cuvillier (Firma) |0 (DE-588)1067137041 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-7369-6178-4 |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032337424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032337424 | ||
Datensatz im Suchindex
| _version_ | 1804181821233037312 |
|---|---|
| adam_text | CONTENTS
ZUSAMMENFASSUNG
III
SUMMARY
VII
1
GENERAL
INTRODUCTION
1
1.1
OBJECTIVES
..............................................................................................
4
1.2
STRUCTURE
OF
THE
DISSERTATION
.................................................................
4
2
RESEARCH
ARTICLES
7
2.1
1
ST
STUDY:
MULTI-TEMPORAL
SITE-SPECIFIC
WEED
CONTROL
OF
CIRSIUM
ARVENSE
(L.)
SCOP,
AND
RUMEX
CRISPUS
L.
IN
MAIZE
AND
SUGAR
BEET
USING
UNMANNED
AERIAL
VEHICLE
BASED
MAPPING
..............................
7
2.1.1
INTRODUCTION
.
............................................................................
9
2.1.2
MATERIALS
AND
METHODS
.............................................................
10
TRIAL
SITES
AND
PRECISION
SOWING
.............................................
10
GROUND-TRUTH
WEED
MAPPING
....................................................
11
UAV
AND
SENSOR
SETUP
.............................................................
12
IMAGE
PROCESSING
......................................................................
12
GENERATING
WEED
CONTROL
MAPS
BASED
ON
UAV
IMAGERY
...
13
SITE-SPECIFIC
HERBICIDE
APPLICATION
IN
FIELD
TRIALS
..................
16
2.1.3
RESULTS
........................................................................................
19
2.1.4
DISCUSSION
..................................................................................
22
2.1.5
CONCLUSIONS
...............................................................................
25
2.2
2
ND
STUDY:
SENSOR-BASED
EVALUATION
OF
MAIZE
(ZEA
MAYS
)
AND
WEED
RESPONSE
TO
POSTEMERGENCE
HERBICIDE
APPLICATIONS
OF
ISOXAFLUTOLE
AND
CYPROSULFAMIDE
APPLIED
AS
CROP
SEED
TREATMENT
OR
HERBICIDE
MIXING
PARTNER
.......................................................................................
27
2.2.1
INTRODUCTION
...............................................................................
29
2.2.2
MATERIALS
AND
METHODS
.............................................................
30
EXPERIMENTAL
DESIGN
................................................................
30
DATA
COLLECTION
.........................................................................
33
DATA
PROCESSING
AND
STATISTICS
.................................................
34
2.2.3
RESULTS
........................................................................................
35
GREENHOUSE
GROUND-TRUTH
..........................................................
35
GREENHOUSE
SPECTROMETRY
.......................................................
36
FIELD
GROUND-TRUTH
......................................................................
40
UAV
FIELD
SPECTROMETRY
.............................................................
42
2.2.4
DISCUSSION
..................................................................................
45
2.2.5
CONCLUSION
..................................................................................
48
2.3
3
RD
STUDY:
IN-FIELD
CLASSIFICATION
OF
HERBICIDE-RESISTANT
PAPAVER
RHOEAS
AND
STELLARIA
MEDIA
USING
AN
IMAGING
SENSOR
OF
THE
MAXIMUM
QUANTUM
EFFICIENCY
OF
PHOTOSYSTEM
II
.................................................
49
2.4
4
TH
STUDY:
DISCRIMINATION
BETWEEN
HERBICIDE
RESISTANT
AND
SENSITIVE
STELLARIA
MEDIA
PLANTS
USING
HYPERSPECTRAL
PLANT
REFLECTANCE
AND
ARTIFICIAL
NEURAL
NETWORK
WEIGHT
ANALYSIS
..............................................
51
2.4.1
INTRODUCTION
...............................................................................
53
2.4.2
MATERIALS
AND
METHODS
.............................................................
55
PLANT
MATERIAL
AND
HERBICIDE
TREATMENT
..................................
55
FIELD
TRIALS
..................................................................................
56
SPECTROMETER
MEASUREMENTS
....................................................
56
ARTIFICIAL
NEURAL
NETWORK
TRAINING
AND
CLASSIFICATION
...............
57
ARTIFICIAL
NEURAL
NETWORK
NEURON
WEIGHT
ANALYSIS
AND
INPUT
REDUCTION
...................................................................
58
2.4.3
RESULTS
........................................................................................
59
TRAINING
AND
VALIDATION
.............................................................
59
NEURON
WEIGHT
ANALYSIS
.............................................................
61
2.4.4
DISCUSSION
..................................................................................
62
2.4.5
CONCLUSION
..................................................................................
65
3
GENERAL
DISCUSSION
67
XII
|
| adam_txt |
CONTENTS
ZUSAMMENFASSUNG
III
SUMMARY
VII
1
GENERAL
INTRODUCTION
1
1.1
OBJECTIVES
.
4
1.2
STRUCTURE
OF
THE
DISSERTATION
.
4
2
RESEARCH
ARTICLES
7
2.1
1
ST
STUDY:
MULTI-TEMPORAL
SITE-SPECIFIC
WEED
CONTROL
OF
CIRSIUM
ARVENSE
(L.)
SCOP,
AND
RUMEX
CRISPUS
L.
IN
MAIZE
AND
SUGAR
BEET
USING
UNMANNED
AERIAL
VEHICLE
BASED
MAPPING
.
7
2.1.1
INTRODUCTION
.
.
9
2.1.2
MATERIALS
AND
METHODS
.
10
TRIAL
SITES
AND
PRECISION
SOWING
.
10
GROUND-TRUTH
WEED
MAPPING
.
11
UAV
AND
SENSOR
SETUP
.
12
IMAGE
PROCESSING
.
12
GENERATING
WEED
CONTROL
MAPS
BASED
ON
UAV
IMAGERY
.
13
SITE-SPECIFIC
HERBICIDE
APPLICATION
IN
FIELD
TRIALS
.
16
2.1.3
RESULTS
.
19
2.1.4
DISCUSSION
.
22
2.1.5
CONCLUSIONS
.
25
2.2
2
ND
STUDY:
SENSOR-BASED
EVALUATION
OF
MAIZE
(ZEA
MAYS
)
AND
WEED
RESPONSE
TO
POSTEMERGENCE
HERBICIDE
APPLICATIONS
OF
ISOXAFLUTOLE
AND
CYPROSULFAMIDE
APPLIED
AS
CROP
SEED
TREATMENT
OR
HERBICIDE
MIXING
PARTNER
.
27
2.2.1
INTRODUCTION
.
29
2.2.2
MATERIALS
AND
METHODS
.
30
EXPERIMENTAL
DESIGN
.
30
DATA
COLLECTION
.
33
DATA
PROCESSING
AND
STATISTICS
.
34
2.2.3
RESULTS
.
35
GREENHOUSE
GROUND-TRUTH
.
35
GREENHOUSE
SPECTROMETRY
.
36
FIELD
GROUND-TRUTH
.
40
UAV
FIELD
SPECTROMETRY
.
42
2.2.4
DISCUSSION
.
45
2.2.5
CONCLUSION
.
48
2.3
3
RD
STUDY:
IN-FIELD
CLASSIFICATION
OF
HERBICIDE-RESISTANT
PAPAVER
RHOEAS
AND
STELLARIA
MEDIA
USING
AN
IMAGING
SENSOR
OF
THE
MAXIMUM
QUANTUM
EFFICIENCY
OF
PHOTOSYSTEM
II
.
49
2.4
4
TH
STUDY:
DISCRIMINATION
BETWEEN
HERBICIDE
RESISTANT
AND
SENSITIVE
STELLARIA
MEDIA
PLANTS
USING
HYPERSPECTRAL
PLANT
REFLECTANCE
AND
ARTIFICIAL
NEURAL
NETWORK
WEIGHT
ANALYSIS
.
51
2.4.1
INTRODUCTION
.
53
2.4.2
MATERIALS
AND
METHODS
.
55
PLANT
MATERIAL
AND
HERBICIDE
TREATMENT
.
55
FIELD
TRIALS
.
56
SPECTROMETER
MEASUREMENTS
.
56
ARTIFICIAL
NEURAL
NETWORK
TRAINING
AND
CLASSIFICATION
.
57
ARTIFICIAL
NEURAL
NETWORK
NEURON
WEIGHT
ANALYSIS
AND
INPUT
REDUCTION
.
58
2.4.3
RESULTS
.
59
TRAINING
AND
VALIDATION
.
59
NEURON
WEIGHT
ANALYSIS
.
61
2.4.4
DISCUSSION
.
62
2.4.5
CONCLUSION
.
65
3
GENERAL
DISCUSSION
67
XII |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Mink, Robin |
| author_GND | (DE-588)1147406677 |
| author_facet | Mink, Robin |
| author_role | aut |
| author_sort | Mink, Robin |
| author_variant | r m rm |
| building | Verbundindex |
| bvnumber | BV046928367 |
| classification_rvk | ZC 28500 ZD 69200 |
| ctrlnum | (OCoLC)1146045589 (DE-599)DNB1206598344 |
| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
| discipline_str_mv | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
| edition | 1. Auflage |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV046928367 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:33:47Z |
| indexdate | 2024-07-10T08:57:45Z |
| institution | BVB |
| institution_GND | (DE-588)1067137041 |
| isbn | 9783736971783 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032337424 |
| oclc_num | 1146045589 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | 94 Seiten Illustrationen, Diagramme 21 cm, 212 g |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Cuvillier Verlag |
| record_format | marc |
| spelling | Mink, Robin (DE-588)1147406677 aut Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research submitted by Robin Mink 1. Auflage Göttingen Cuvillier Verlag 2020 94 Seiten Illustrationen, Diagramme 21 cm, 212 g txt rdacontent n rdamedia nc rdacarrier Dissertation University of Hohenheim 2019 Überwachung (DE-588)4134175-2 gnd rswk-swf Herbizid (DE-588)4113887-9 gnd rswk-swf Unkrautbekämpfung (DE-588)4061839-0 gnd rswk-swf Phytomedicine Zweikeimblättrige Unkräuter Hyperspektralsensor Monocotyledon Weeds Unmanned Aerial Vehicle UAV-imagery vegetation indices Teilflächenspezifische Herbizidapplikation Unkrauterkennung Herbicide resistance classification Hyperspektrale Pflanzenreflexion Herbizidresistenz Herbizidreduktion Rumex crispus Künstliche Intelligenz Hyperspectral plant reflectance Cirsium arvense Vegetationsindex Herbizid-Safener Herbicide resistance monitoring Artificial neural network Herbicide resistance Unkrautforschung UAV remote sensing Weed detection UAV-Bilder Herbology Pyhtomedizin Identifizierung der Dateneingabe UAV-Unkrautkartierung Hyperspectral sensor Herbicide Safener UAV-Fernerkundung ALS-resistance precision farming ALS-Resistenz Data input identification aerial imagery Künstliches Neuronales Netzwerk Stellaria media Klassifizierung der Herbizidresistenz Artificial intelligence Präzisions Landwirtschaft prescription map (DE-588)4113937-9 Hochschulschrift gnd-content Unkrautbekämpfung (DE-588)4061839-0 s Herbizid (DE-588)4113887-9 s Überwachung (DE-588)4134175-2 s DE-604 Eric Cuvillier (Firma) (DE-588)1067137041 pbl Erscheint auch als Online-Ausgabe 978-3-7369-6178-4 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032337424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mink, Robin Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research Überwachung (DE-588)4134175-2 gnd Herbizid (DE-588)4113887-9 gnd Unkrautbekämpfung (DE-588)4061839-0 gnd |
| subject_GND | (DE-588)4134175-2 (DE-588)4113887-9 (DE-588)4061839-0 (DE-588)4113937-9 |
| title | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| title_auth | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| title_exact_search | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| title_exact_search_txtP | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| title_full | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research submitted by Robin Mink |
| title_fullStr | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research submitted by Robin Mink |
| title_full_unstemmed | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research submitted by Robin Mink |
| title_short | Implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| title_sort | implementation and evaluation of unmanned aerial vehicles and sensor systems in weed research |
| topic | Überwachung (DE-588)4134175-2 gnd Herbizid (DE-588)4113887-9 gnd Unkrautbekämpfung (DE-588)4061839-0 gnd |
| topic_facet | Überwachung Herbizid Unkrautbekämpfung Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032337424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT minkrobin implementationandevaluationofunmannedaerialvehiclesandsensorsystemsinweedresearch AT ericcuvillierfirma implementationandevaluationofunmannedaerialvehiclesandsensorsystemsinweedresearch |