Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Kiel
Selbstverlag des Geographischen Instituts der Universität Kiel
2019
|
| Schriftenreihe: | Kieler geographische Schriften
Band 132 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Die vorliegende Arbeit entspricht im Wesentlichen der von der Mathematisch-Naturwissenschaftlichen Fakultät der Christian-Albrechts-Universität zu Kiel im Jahre 2018 angenommenen gleichlautenden Dissertation |
| Beschreibung: | XI, 145 Seiten Illustrationen, Karten, Diagramme (teilweise farbig) |
| ISBN: | 9783923887743 |
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| 245 | 1 | 0 | |a Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques |c Wolfgang Berengar Hamer |
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Datensatz im Suchindex
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| adam_text | KIELER GEOGRAPHISCHE SCHRIFTEN
Herausgegeben vom Geographischen Institutder Universitat Kiel
durch C Corves, F Dunckmann, R Duttmann, R Hassink,
W Hoppe, N Oppelt, A Vafeidis und R Wehrhahn
Schriftleitung: P Sinuraya
Band 132
Leihgabe der
Senckenberg Gesellschaft
fur Naturforschung
WOLFGANG BERENGAR HAMER
Spatial prediction of the infestation risks
of winter wheat by the pathogens
Blumeria graminis f sp tritici (Powdery mildew)
and Puccinia triticina (Brown rust)
in Schleswig-Holstein
using machine learning techniques
KIEL 2019
IM SELBSTVERLAG DES GEOGRAPHISCHEN INSTITUTS
DER UNIVERSITAT KIEL
ISSN 0723-9874
ISBN 978-3-923887-74-3
Ill
Contents
Acknowledgements I
Table of contents III
List of figures V
List of tables VII
Glossary VIII
Summary IX
Zusammenfassung (German summary) X
1 Introduction 1
2 State of art - 5
2 1 Life cycle of the powdery mildew 7
211 Environmental influences on the life cycle of powdery mildew 8
212 Influence on yield and countermeasures 9
213 Existing models to simulate powdery mildew infestations 11
2 2 Life cycle of the brown rust 14
221 Environmental influences on the life cycle of brown rust 16
222 Influence on yield and countermeasures 16
223 Existing models to simulate brown rust infestations 17
23 Life cycle of the winter wheat 18
231 Existing models to simulate the growth of winter wheat 19
2 4 Regionalisation method 21
241 Examples of the application of regionalisation methods 28
2 5 Machine learning methods 29
251 Supervised learning techniques 30
252 Unsupervised learning techniques 39
2 6 Statistical measures of the models performances 39
3 Study area, data and methods 43
3 1 The study area 43
3 2 Data 47
321 Meteorological and climate (lata 47
322 Long term infestation monitoring data (IPS) 50
3 3 The modelling approach 53
331 Regionalisation of weather data 55
332 Aggregation of weather data 56
IV
333 Prediction based on an machine learning algorithm 58
334 Assessment of overall model performance 60
335 Web-based prediction system 65
4 Results 69
4 1 Spatio-temporal prediction of powdery mildew events 69
4 2 Spatio-temporal prediction of brown rust events 90
5 Discussion 113
5 1 Powdery mildew prediction 113
5 2 Brown rust prediction 116
5 3 Synthesis
6 • Conclusion 125
7 References 127
Appendices
A Additional figures
B Code (URL and table of contents)
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| spelling | Hamer, Wolfgang Berengar Verfasser (DE-588)1188249134 aut Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques Wolfgang Berengar Hamer Kiel Selbstverlag des Geographischen Instituts der Universität Kiel 2019 XI, 145 Seiten Illustrationen, Karten, Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Kieler geographische Schriften Band 132 Die vorliegende Arbeit entspricht im Wesentlichen der von der Mathematisch-Naturwissenschaftlichen Fakultät der Christian-Albrechts-Universität zu Kiel im Jahre 2018 angenommenen gleichlautenden Dissertation Dissertation Christian-Albrechts-Universität zu Kiel 2018 Zusammenfassung in deutsch Prognose (DE-588)4047390-9 gnd rswk-swf Wintergetreide (DE-588)4189973-8 gnd rswk-swf Puccinia recondita triticina (DE-588)4272294-9 gnd rswk-swf Mehltau (DE-588)4169276-7 gnd rswk-swf Pflanzenschutz (DE-588)4045586-5 gnd rswk-swf Schleswig-Holstein (DE-588)4052692-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Schleswig-Holstein (DE-588)4052692-6 g Wintergetreide (DE-588)4189973-8 s Puccinia recondita triticina (DE-588)4272294-9 s Prognose (DE-588)4047390-9 s Mehltau (DE-588)4169276-7 s Pflanzenschutz (DE-588)4045586-5 s DE-604 Erscheint auch als Online-Ausgabe Kieler geographische Schriften Band 132 (DE-604)BV035362016 132 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031320933&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hamer, Wolfgang Berengar Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques Kieler geographische Schriften Prognose (DE-588)4047390-9 gnd Wintergetreide (DE-588)4189973-8 gnd Puccinia recondita triticina (DE-588)4272294-9 gnd Mehltau (DE-588)4169276-7 gnd Pflanzenschutz (DE-588)4045586-5 gnd |
| subject_GND | (DE-588)4047390-9 (DE-588)4189973-8 (DE-588)4272294-9 (DE-588)4169276-7 (DE-588)4045586-5 (DE-588)4052692-6 (DE-588)4113937-9 |
| title | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques |
| title_auth | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques |
| title_exact_search | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques |
| title_full | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques Wolfgang Berengar Hamer |
| title_fullStr | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques Wolfgang Berengar Hamer |
| title_full_unstemmed | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques Wolfgang Berengar Hamer |
| title_short | Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques |
| title_sort | spatial prediction of the infestation risks of winter wheat by the pathogens blumeria graminis f sp tritici powdery mildew and puccinia triticina brown rust in schleswig holstein using machine learning techniques |
| topic | Prognose (DE-588)4047390-9 gnd Wintergetreide (DE-588)4189973-8 gnd Puccinia recondita triticina (DE-588)4272294-9 gnd Mehltau (DE-588)4169276-7 gnd Pflanzenschutz (DE-588)4045586-5 gnd |
| topic_facet | Prognose Wintergetreide Puccinia recondita triticina Mehltau Pflanzenschutz Schleswig-Holstein Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031320933&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035362016 |
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