Precision agriculture ‘05: [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005]
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| Weitere Verfasser: | |
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| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Wageningen
Wageningen Acad. Publ.
2005
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| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 1005 S. Ill., graph. Darst. |
| ISBN: | 9076998698 |
Internformat
MARC
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| 245 | 1 | 0 | |a Precision agriculture ‘05 |b [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |c [JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. Ed. by J. V. Stafford ... |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Wageningen |b Wageningen Acad. Publ. |c 2005 | |
| 300 | |a 1005 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2005 |z Uppsala |2 gnd-content | |
| 689 | 0 | 0 | |a Teilschlagbewirtschaftung |0 (DE-588)4493423-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Präzisionslandwirtschaft |0 (DE-588)4706034-7 |D s |
| 689 | 1 | |C b |5 DE-604 | |
| 700 | 1 | |a Stafford, John V. |4 edt | |
| 710 | 2 | |a JTI, Institutet för Jordbruks- och Miljöteknik (Uppsala) |e Sonstige |0 (DE-588)10014495-0 |4 oth | |
| 711 | 2 | |a European Conference on Precision Agriculture |n 5 |d 2005 |c Uppsala |j Sonstige |0 (DE-588)6506394-6 |4 oth | |
| 751 | |a Uppsala |0 (DE-588)1029360-7 |2 gnd |4 evp | ||
| 856 | 4 | 2 | |m Digitalisierung TU Muenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014643594&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-014643594 | ||
Datensatz im Suchindex
| _version_ | 1804135132942041088 |
|---|---|
| adam_text | Contents
Editorial
19
John V.
Statford
Keynotes
21
Field effect transistors in precision agriculture
23
Ernst J.R.
Sudhölter,
Louis
C.P.M, de Smet
and Han
Zuilhof
A review of
spectroscopie
methods and their suitability as analytical techniques for farm
testing
31
Lars-Ove Sjaunja
Guidance and automated steering drive resurgence in precision farming
39
S.
Berglund
and R.
Втек
Precision agriculture: the solution to control nutrient emissions?
47
J.
Stoorvogel
and J. Bouma
Precision agriculture: a Western Australian perspective
57
C. Fowler
Spatial variability in weeds and pests
63
Discrimination between nitrogen deficiency and fungal infection of winter wheat by laser
induced fluorescence
65
/.
Tartachnyk, I. Rademacher and W.
Kühbauch
Site-specific identification of fungal infection and nitrogen deficiency in wheat crop
using remote sensing
73
J. Jacobi and W.
Kühbauch
Use of remote sensing within the optical and thermal spectral ranges in order to detect
Septoria
tritici
on winter wheat
81
Hervé
Nicolas
Digital infrared thermography for the assessment of leaf pathogens
91
E.-C. Oerke, M.
Lindenthal,
P.
Frühling
and U.
Steiner
Managing soilborne diseases in Australian field crops using precision agriculture and
soil
DNA
tests
99
J. W. Heap and A. C. McKay
Detection and mapping of Ridolfia segetum Moris patches in sunflower (Helianthus
annuus L.) crop using remote sensing techniques
107
./
M.
Peña-Barragán,
F.
Lopez-
G
ruñados,
M.
Jurado-
Expos
ito
and L.
García-Torres
Weed density prediction with secondary input of DEM information
115
M.
Jurado-Expósito,
ľ.
López-Gruñados.
J, M.
Peña-Barragán
and L.
García-Torres
Precision Agriculture
05
Feasibility of a real-time weed detection system using spectral reflectance
123
J.
Bossu,
Ch. Gée,
IP. Guillemin and
F. Truchetet
Site-specific weed control using digital image analysis and georeferenced application
maps: On-farm experiences
H. Oebel and R.
Gerhards
maps: On-farm experiences
Site specific weed control and spatial distribution of a weed seedbank
139
H. Nordmeyer
Weed identification with chlorophyll fluorescence image analysis
147
H. Nordmeyer, S.
Aulich
and A. Kluge
The sampling problem in weed control
-
are currently applied sampling strategies
adequate for site-specific weed control?
155
M.
Backes,
D.
Schumacher and L.
Plümer
Describing weed patches by shape parameters
163
M.
Backes, L. Plümer
Development of an image analysis system for estimation of weed pressure
169
A. Ribeiro,
С.
Fernandez-Quintanilla,
J.
Barroso
and
M.C.
Garcia-Alegre
Vision
based detection of volunteer potatoes as weeds in sugar beet and cereal fields
175
A. T. Nieuwenhuizen, J.H.W. van
den Oever,
L.
Tang,
J. W.
Hofstee and
J.
Müller
Spatial variability in crops
183
Effect of travel speed on characterizing citrus canopy structure with a laser scanner
185
M. Salyani andJ. Wei
Crop variability and resulting management effects
193
Д
Ehlert and R.
Adámek
Vehicle mounted sensors for estimating tiller density and leaf area index (LAI) of winter
wheat
201
I.M. ScotfordandP.C.H. Miller
Temporal prediction of nitrogen status in wheat under the influence of water deficiency
using spectral and thermal information
209
L.K. Christensen, D. Rodriguez, R. Belford, V.
Sadrás,
P. Rampant and P. Fisher
Measuring crop status using multivariate analysis of hyperspectral field reflectance with
application to disease severity and plant density
217
A. Larsolle and H.
Hamid
Muhammed
Analyses of spaceborne hyperspectral and directional CHRIS data to deliver crop status
for precision agriculture
227
Silke Begiebing, Heike Bach,
Daniel
Waldmann
and Wolfram Mauser
Precision Agriculture
05
Wheat yield population response to variable rate
N
fertilization strategies using active
NDVI sensors
235
G.J. Schwab, E.M. Pena-Yewtukhiw, O.
Wendroth, L.W, Murdock
and
T. Stombaugh
In-field assessment of wheat-leaf polyphenolics using the new optical leaf-clip Dualex
243
Z.G. CerovicA.
Cartelat,
Y.
Goulas and
S.
Meyer
Application of hyperspectral canopy reflectance measurement and partial least square
regression to predict within-field spatial variation in crop growth and nitrogen status
before heading stage of rice
251
Hung. T. Nguyen,
Jun
Han Kim, Anh T. Nguyen, Jin
Chul
Shin, Byun-Woo Lee
Optimum waveband selection for determining the nitrogen uptake in winter wheat by
active remote sensing
261
S. Reusch
Spatial variability of crop water stress in an olive grove with high-spatial thermal
remote sensing imagery
267
G. Sepulcre-Canto, P.J. Zarco-Tejada,
JA. Sobrino,
J.C.
Jiménez-Muñoz
and
EJ.
Villalobos
Laser-induced chlorophyll fluorescence sensing to determine biomass and nitrogen
uptake of winter wheat under controlled environment and field conditions
273
C. Bredemeier and U. Schmidhalter
Digital infrared thermography for monitoring canopy health of wheat
281
J.-H. Lenthe, E.-C. Oerke and H.-W.
Dehne
On-the-go detection of plant parameters by camera vision in rape
289
K.-H.
Dammer
Suitability of different crop parameters for the determination of site-specif ic nitrogen
fertilizer demand
297
A. Link, J. Jasper and S. Reusch
Spatial relationships between soil
amino
sugar nitrogen, soil properties and landscape
attributes
303
J.D. Williams, C.R. Crozier, D.A. Cmuse, J.G. White, J. Bang, M. Duffera
A comparison of fertilizer strategies for spring barley (Hordeum
vulgare
L.)
based on
measured yield response to applied
N
on morainic soils in
SE
Norway
311
A. Korsaeth and H. Riley
Discriminating the effect of nitrogen and other environmental stresses on spatial
variability of wheat yield in Mediterranean environments
319
R.
Casa, F Pieruccetti,
N.
Rosati
and
В.
Lo
Caseio
Evaluation of mapping and on-line nitrogen fertilizer application strategies in multi-year
and multi-location static field trials for increasing nitrogen use efficiency of cereals
327
77г.
Ebertseder, U. Schmidhalter, R. Gutser, U.
Hege
and S. Jungert
Precision Agriculture
05
Predicting variation in plant N-uptake in three fields using soil organic matter, texture
and Near Infrared Reflectance (NIR) spectroscopy
337
J.
Wetterlind,
B. Stenberg
and
A. Jonsson
Providing operational nitrogen recommendations to farmers using satellite imagery
345
Anne Blondlot,
Philippe Gate and
Herné Poilvé
Change in spatial variability structure of NDVI readings related to observation scale
353
EM. Pena-Yewtukhiw, G.J. Schwab, O.
Wendroth, L.W. Murdock
and
T. Stombaugh
Cotton lint quality spatial variability and correlation with soil properties and yield
361
T.A. Gemtos,Ath. Markinos and Th. Nassiou
•
Yield and quality
Monitoring wheat protein content on-harvester
-
Australian experiences
369
James Taylor, Brett Whelan, Lars
Thylén, Mikael Gilbertsson
and James
Hassall
Prediction of within-field yield and protein variability in malting barley using canopy
reflectance, thermal stress, and soil electrical conductivity
377
CG. Pettersson,
M.
Söderström and B.
Frankow-Lindberg
Evaluation
of an
on-combine
wheat protein analyzer on Montana hard red spring wheat
385
D. Long and T.
Rosenthal
Uniform potato quality with site-specific potassium application
393
L. Wijkmark, R.
Lindholm
and K.
Nissen
Evaluation of forage yield map techniques on a mowing-conditioning machine
401
F
Kumhala, M. Kroulik, J.
Masek,
P.
Procházka
and
Z. Kviz
Yield determination in a mower conditioner by means of hydraulic pressure measurements
409
K. Wild and S.
Ruhland
Spatial variability in soils
415
•
Soil variability
Physical background of soil EC mapping: laboratory, theoretical and field studies
417
E. Lück,
J. Riihlmann and U.
Spangenberg
Using secondary information sources to improve the within-field soil
textural
mapping
in a layered alluvial soil
425
W.A.U. Vitharana, M. Van Meirvenne andL. Coda
Spatial and temporal variability of soil properties with respect to relief information
433
H.I.
Reuter,
K.C.
Kersebaum and O.
Wendroth
Precision Agriculture OS
•
Soil sensors
Prediction and spatial variability of soil dynamic properties in sugar cane fields of
Sao Paulo State
-
Brazil
441
R.B. Silva, K.P.
Lanças
and
E.E.
V. Miranda
An integrated system for mapping soil physical properties on-the-go: the mechanical
sensing component
449
V.l.
Adamchuk and RT. Christenson
Development of soil
pH
and lime requirement maps using on-the-go soil sensors
457
E.D. Lund,
V.l.
Adamchuk, K.L. Collings,
P.E.
Drummond
and CD. Christy
Evaluation of the penetration resistance along a transect
465
H. Domsch, J. Boess, D. Ehlert andH.-J. Wuttig
Comparison of geoelectrical methods for soil mapping
473
R. Gebbers and
E. Lück
Mobile TDR for geo-referenced measurement of soil water content and electrical
conductivity
481
Anton Thomsen, Per Drosher and Flemming Steffensen
Bulk density maps as affected by implementation of a depth control system during
on-line measurement of soil compaction
487
Abdul Mounem Mouazen and Herman Ramon
A real-time multi-spectral soil sensor: predictability of soil moisture and organic matter
content in a small field
495
5.
Shibusawa, K. Ehara, T. Okayama, H.
Umeda
and S. Hirako
Obtaining useful high-resolution soil data from proximally-sensed electrical
conductivity/resistivity (PSEC/R) surveys
503
Alex. B. McBratney, Budiman Minasny and Brett M. Whelan
Field measurements of soil
pH
and lime requirement using an on-the-go soil
pH
and
lime requirement measurement system
511
R.A. Viscarra
Rossel,
M.
Gilbertson,
L. Thylén, O.
Hansen,
S. McVey
and
A.B.
McBratney
On-the-go sensor for measurement of dry bulk density referring to soil compaction
521
Abdul Mounem Mouazen,
Josse De Baerdemaeker
and Herman Ramon
Site-specific soil properties prediction using hyperspectral signatures of topsoil coverage
and underground image by real-time soil spectrophotometer
529
S.K. Roy, S. Shibusawa and T. Okayama
Topsoil mapping using hyperspectral airborne data and multivariate regression modeling
537
Thomas
Selige, Urs Schmidhalter
Precision Agriculture
05
1
3
Technology
for precision agriculture 547
•
Image analysis
Ground truth evaluation of
3D
computer vision on non-rigid biological structures
549
M. Nielsen, H.J. Andersen, D.C. Slaughter and E. Granum
Measuring distribution accuracy of fertiliser using image analysis
557
A. Rydberg
and
G. Lundin
•
Communication
ISOBUS
compatible implements in the project AGRIX
565
T. Ohanen, P. Suomi,
A. Vísala
and H. Haapala
Wireless sensor networks for precise Phytophthora decision support
573
D. Goense, J. Thelen and K. Langendoen
•
Guidance,
autosteer
and robotics
Economics of
Lightbar
and Auto-Guidance GPS Navigation Technologies
5 81
T. Griffin, D. Lambert andJ. Lowenberg-DeBoer
Agricultural robots: an economic feasibility study
589
S.M. Pedersen, S. Fountas, H. Have and B.S. Blackmore
A two-stage route planning system for autonomous agricultural vehicles
597
S. Vougioukas, S. Blackmore, J. Nielsen and S. Fountas
A test facility for evaluating dynamic GPS accuracy
605
Timothy Stombaugh, John Cole, Scott Shearer, Benjamin Koostra
Investigation of the accuracy of a machine vision based robotic micro-spray system
613
H. T. Sogaard and I. Lund
Robotic agriculture
-
the future of agricultural mechanisation?
621
Simon Blackmore, Bill Stout, Maohua Wang and Boris Runov
Development and test of an autonomous Christmas tree weeder
629
Henrik
Have, Jon Nielsen, Simon Blackmore and
Frans Theilby
Sensor-actuator integration in a commercial tractor for safe teleoperation and
autonomous navigation
637
M.C. Garcia-Alegre,
L
García-Pérez,
A. Ribeiro, D.
Guinea
Tractor-implement dynamic trajectory model for automated navigation applications
645
L. Feng, Y. He and Q. Zhang
14
Precision Agriculture
05
• Variable
rate application
Variable rate applicationTesting the viability of existing ground spread fertiliser spreaders to
perform variable rate fertilisation
655
H. Lawrence, I. Yule, J. Jones and M. Hedley
Variable rate granular fertilization of citrus groves: spreader performance with single-tree
prescription zones
665
A. Schumann, W. Miller, Q. Zaman, K. Hostler, S. Buchanon, G. Perkins and S.
Cugati
Design of a seeder to achieve highly uniform sowing patterns
675
H.W. Griepentrog, P.T. Skou, J.F. Soriano andB.S. Blackmore
Variable dose rate application of herbicides using optical sensors
683
U.R.
Antuniassi, M.S. Nery and C.A.S.
Queiroz
Dynamic modeling of variable-rate granular applicator hydraulic flow control valve
691
S.A.
Cugati,
W.M.
Miller and J.K.
Schneller
Spatial analysis and mapping
699
Effect of interpolation methods and filtering on the quality of yieldmaps
701
P.O. Noack, T. Muhr andM. Demmel
Maximum likelihood variograms for efficient prediction in precision agriculture
707
R. Kerry and M.A. Oliver
Improving prediction of soil properties in precision agriculture by co-kriging with
properties that are easily measured
715
R. Kerry and M.A. Oliver
Multivariate geostatistics for assessing and predicting soil compaction
723
M. Carrara,
A.
Castrignanò,
A. Comparetti, P. Febo and S. Orlando
Spatial relation between NDVI and grain yield: impact of spatial resolution and
measurement device
731
O.
Wendroth,
A.
Giebel,
E. Pena-Yewtukhiw, K.C.
Kersebaum, G.J. Schwab, H.I.
Reuter,
L.
W.
Murdock and T.S.
Stombaugh
Yield mapping based on robust fitting paraboloid cones in butterfly and elliptic
neighborhoods
741
M. Bachmaier and H. Auernhammer
Spatial variability of the Illinois soil nitrogen test: implications for soil sampling
751
Matías
L.
Ruffo, German
A. Bollero
and Donald G. Bullock
Precision Agriculture
05
1
5
Management
59
•
Soil- and crop modelling
How spatial and temporal variability can affect fertilization trial results
761
A.
Castrignanò,
G.
Buttafuoco,
M.
Pisante
and
Α.
V.
Vonella
A potential role of permanent soil variables and field topography to reveal scale
dependence and the temporal persistence of soil water content spatial patterns
769
H. Bourennane, B. Nicoullaud, A. Couturier, B. Mary, G. Richard and D. King
Predicting dynamics of Chenopodium album in a four year crop rotation using
site-specific weed control
779
D.
Dicke,
R.
Gerhards
and
W.
Kühbauch
Time series analysis of high spatial resolution SPOT images for wheat growth monitoring
787
Jean-Philippe Denux, Anne Jacquin, Michel Gay,
Ignacio Touriño
and
Véronique Chéret
Long term simulation of soil/crop interactions to estimate management zones and
consequences for site specific nitrogen management considering water protection
795
K.C. Kersebaum, H.I.
Reuter,
К.
Lorenz
and
О.
Wendroth
Using sensor information on drought stress for a site specific calibration of a wheat
simulation model
803
U.
Böttcher
and H. Kage
•
Site-specific management and decision support systems
Combining soil-landscape and spatial-temporal variability of yield information to
delineate site-specific management zones
811
Y.
Miao,
DJ.
Mulla
and PC. Robert
Topographical data for delineation of agricultural management zones
819
Petter Pilesjö, Lars Thylén and Andreas Persson
Optimum
N
management
using site-specific
management
zones
827
R. Khosla, D.
Inman andD.G. Westfall
Early season grain yield prediction using remote sensing and site-specific management
zones
zones
D.
Inman,
R.
Khosla,
M.
Lefsky andD.G.
Westfall
A method to combine yield and quality maps to aid decision-making
843
T. Chosa, M.
Omine
and H. Hosokawa
Multiple variable rate input application: a decision framework
849
B.C. English, R.K. Roberts andJ. Larson
Extending Site-Specific Crop Management from individual fields to an entire farm
857
M.J. Florin,
A.B.
McBratney and B.M. Whelan
6
Precision Agriculture
05
Local response to
nitrogen
inputs: advancing SSCM within Australia
865
B.M.
Whelan and
J.
A. Taylor
FARMSTAR: an
efficient decision support tool for near real time crop management from
satellite images
873
B. Coquil and Jean Paul
Bordes
Precision viticulture
881
Whole-of-vineyard experimentation: an improved basis for knowledge generation and
decision making
883
R.G. V. Bramley,
D.M.
Lányon
and
K. Panten
Generating benefits from Precision Viticulture through selective harvesting
891
R.G. V. Bramley, A.P.B.
Proffitt,
C.J.
Hinze,
В.
Pearse
and R.P. Hamilton
Obtaining grape yield maps and analysis of within-field variability in Raimat (Spain)
899
J.
Arno,
X.
Bordes,
M.
Ribes-Dasi, R.
Blanco,
IR. Roseli and
J.
Esteve
A comparison of the spatial variability of vineyard yield in European and Australian
production systems
907
James Taylor, Bruno Tisseyre, Rob Bramley and Angela Reid
Combination of heterogeneous data sets in Precision Viticulture
915
J-N.
Paoli,
В.
Tisseyre,
О.
Strauss, J-M. Roger and
S. Guillaume
Vine parcel detection in aerial images combining
textural
and structural approaches
923
G. Rabatel, C. Detain and M. Deshayes
Delineation of vine fields by segmentation of high resolution remote sensed images
933
F. Michelet, J.P. Da Costa,
С
Germain, O. Lavialle and
G. Grenier
Precision irrigation
941
The potential contribution of precision irrigation to water conservation
943
S.A.
Al-Kufaishi, B.S. Blackmore and H. Sourell
Farm-scale testing of site-specific irrigation and nitrogen fertilization for cotton
production in the Southern High Plains of Texas, USA
951
J.D. Booker, K.F. Bronson, J. W. Keeling, J.P. Bordovsfy, E. Segarra and
Margarita Velandia-Parra
Optimal water storage location and management zone delineation under variable
subsurface drip irrigation
959
Carl R. Dillon, Saved Saghaian,
Juma Salim
and
Murali Kanakasabai
Precision Agriculture
05
1
7
Economic and environmental effects of precision agriculture
967
Precision agriculture improves efficiency of nitrogen use and minimises its leaching at
within-field to farm scales
969
M. T.F. Wong, S. Asseng and H. Zhang
A key indicator for the assessment of spatially variable phosphorus fertilisation
977
Mats
Söderström,
Anna
Nyberg, Christoffer
Anderson and
Börje Linden
Evaluating the benefits from precision agriculture: the economics of meeting traceability
requirements and environmental targets
985
Tihomir Ancev, Brett Whelan and Alex McBratney
Keyword index
995
Keyword index
1001
18
Precision Agriculture OS
|
| adam_txt |
Contents
Editorial
19
John V.
Statford
Keynotes
21
Field effect transistors in precision agriculture
23
Ernst J.R.
Sudhölter,
Louis
C.P.M, de Smet
and Han
Zuilhof
A review of
spectroscopie
methods and their suitability as analytical techniques for farm
testing
31
Lars-Ove Sjaunja
Guidance and automated steering drive resurgence in precision farming
39
S.
Berglund
and R.
Втек
Precision agriculture: the solution to control nutrient emissions?
47
J.
Stoorvogel
and J. Bouma
Precision agriculture: a Western Australian perspective
57
C. Fowler
Spatial variability in weeds and pests
63
Discrimination between nitrogen deficiency and fungal infection of winter wheat by laser
induced fluorescence
65
/.
Tartachnyk, I. Rademacher and W.
Kühbauch
Site-specific identification of fungal infection and nitrogen deficiency in wheat crop
using remote sensing
73
J. Jacobi and W.
Kühbauch
Use of remote sensing within the optical and thermal spectral ranges in order to detect
Septoria
tritici
on winter wheat
81
Hervé
Nicolas
Digital infrared thermography for the assessment of leaf pathogens
91
E.-C. Oerke, M.
Lindenthal,
P.
Frühling
and U.
Steiner
Managing soilborne diseases in Australian field crops using precision agriculture and
soil
DNA
tests
99
J. W. Heap and A. C. McKay
Detection and mapping of Ridolfia segetum Moris patches in sunflower (Helianthus
annuus L.) crop using remote sensing techniques
107
./
M.
Peña-Barragán,
F.
Lopez-
G
'ruñados,
M.
Jurado-
Expos
ito
and L.
García-Torres
Weed density prediction with secondary input of DEM information
115
M.
Jurado-Expósito,
ľ.
López-Gruñados.
J, M.
Peña-Barragán
and L.
García-Torres
Precision Agriculture
'05
Feasibility of a real-time weed detection system using spectral reflectance
123
J.
Bossu,
Ch. Gée,
IP. Guillemin and
F. Truchetet
Site-specific weed control using digital image analysis and georeferenced application
maps: On-farm experiences
H. Oebel and R.
Gerhards
maps: On-farm experiences
Site specific weed control and spatial distribution of a weed seedbank
139
H. Nordmeyer
Weed identification with chlorophyll fluorescence image analysis
147
H. Nordmeyer, S.
Aulich
and A. Kluge
The sampling problem in weed control
-
are currently applied sampling strategies
adequate for site-specific weed control?
155
M.
Backes,
D.
Schumacher and L.
Plümer
Describing weed patches by shape parameters
163
M.
Backes, L. Plümer
Development of an image analysis system for estimation of weed pressure
169
A. Ribeiro,
С.
Fernandez-Quintanilla,
J.
Barroso
and
M.C.
Garcia-Alegre
Vision
based detection of volunteer potatoes as weeds in sugar beet and cereal fields
175
A. T. Nieuwenhuizen, J.H.W. van
den Oever,
L.
Tang,
J. W.
Hofstee and
J.
Müller
Spatial variability in crops
183
Effect of travel speed on characterizing citrus canopy structure with a laser scanner
185
M. Salyani andJ. Wei
Crop variability and resulting management effects
193
Д
Ehlert and R.
Adámek
Vehicle mounted sensors for estimating tiller density and leaf area index (LAI) of winter
wheat
201
I.M. ScotfordandP.C.H. Miller
Temporal prediction of nitrogen status in wheat under the influence of water deficiency
using spectral and thermal information
209
L.K. Christensen, D. Rodriguez, R. Belford, V.
Sadrás,
P. Rampant and P. Fisher
Measuring crop status using multivariate analysis of hyperspectral field reflectance with
application to disease severity and plant density
217
A. Larsolle and H.
Hamid
Muhammed
Analyses of spaceborne hyperspectral and directional CHRIS data to deliver crop status
for precision agriculture
227
Silke Begiebing, Heike Bach,
Daniel
Waldmann
and Wolfram Mauser
Precision Agriculture
'05
Wheat yield population response to variable rate
N
fertilization strategies using active
NDVI sensors
235
G.J. Schwab, E.M. Pena-Yewtukhiw, O.
Wendroth, L.W, Murdock
and
T. Stombaugh
In-field assessment of wheat-leaf polyphenolics using the new optical leaf-clip Dualex
243
Z.G. CerovicA.
Cartelat,
Y.
Goulas and
S.
Meyer
Application of hyperspectral canopy reflectance measurement and partial least square
regression to predict within-field spatial variation in crop growth and nitrogen status
before heading stage of rice
251
Hung. T. Nguyen,
Jun
Han Kim, Anh T. Nguyen, Jin
Chul
Shin, Byun-Woo Lee
Optimum waveband selection for determining the nitrogen uptake in winter wheat by
active remote sensing
261
S. Reusch
Spatial variability of crop water stress in an olive grove with high-spatial thermal
remote sensing imagery
267
G. Sepulcre-Canto, P.J. Zarco-Tejada,
JA. Sobrino,
J.C.
Jiménez-Muñoz
and
EJ.
Villalobos
Laser-induced chlorophyll fluorescence sensing to determine biomass and nitrogen
uptake of winter wheat under controlled environment and field conditions
273
C. Bredemeier and U. Schmidhalter
Digital infrared thermography for monitoring canopy health of wheat
281
J.-H. Lenthe, E.-C. Oerke and H.-W.
Dehne
On-the-go detection of plant parameters by camera vision in rape
289
K.-H.
Dammer
Suitability of different crop parameters for the determination of site-specif ic nitrogen
fertilizer demand
297
A. Link, J. Jasper and S. Reusch
Spatial relationships between soil
amino
sugar nitrogen, soil properties and landscape
attributes
303
J.D. Williams, C.R. Crozier, D.A. Cmuse, J.G. White, J. Bang, M. Duffera
A comparison of fertilizer strategies for spring barley (Hordeum
vulgare
L.)
based on
measured yield response to applied
N
on morainic soils in
SE
Norway
311
A. Korsaeth and H. Riley
Discriminating the effect of nitrogen and other environmental stresses on spatial
variability of wheat yield in Mediterranean environments
319
R.
Casa, F Pieruccetti,
N.
Rosati
and
В.
Lo
Caseio
Evaluation of mapping and on-line nitrogen fertilizer application strategies in multi-year
and multi-location static field trials for increasing nitrogen use efficiency of cereals
327
77г.
Ebertseder, U. Schmidhalter, R. Gutser, U.
Hege
and S. Jungert
Precision Agriculture
'05
Predicting variation in plant N-uptake in three fields using soil organic matter, texture
and Near Infrared Reflectance (NIR) spectroscopy
337
J.
Wetterlind,
B. Stenberg
and
A. Jonsson
Providing operational nitrogen recommendations to farmers using satellite imagery
345
Anne Blondlot,
Philippe Gate and
Herné Poilvé
Change in spatial variability structure of NDVI readings related to observation scale
353
EM. Pena-Yewtukhiw, G.J. Schwab, O.
Wendroth, L.W. Murdock
and
T. Stombaugh
Cotton lint quality spatial variability and correlation with soil properties and yield
361
T.A. Gemtos,Ath. Markinos and Th. Nassiou
•
Yield and quality
Monitoring wheat protein content on-harvester
-
Australian experiences
369
James Taylor, Brett Whelan, Lars
Thylén, Mikael Gilbertsson
and James
Hassall
Prediction of within-field yield and protein variability in malting barley using canopy
reflectance, thermal stress, and soil electrical conductivity
377
CG. Pettersson,
M.
Söderström and B.
Frankow-Lindberg
Evaluation
of an
on-combine
wheat protein analyzer on Montana hard red spring wheat
385
D. Long and T.
Rosenthal
Uniform potato quality with site-specific potassium application
393
L. Wijkmark, R.
Lindholm
and K.
Nissen
Evaluation of forage yield map techniques on a mowing-conditioning machine
401
F
Kumhala, M. Kroulik, J.
Masek,
P.
Procházka
and
Z. Kviz
Yield determination in a mower conditioner by means of hydraulic pressure measurements
409
K. Wild and S.
Ruhland
Spatial variability in soils
415
•
Soil variability
Physical background of soil EC mapping: laboratory, theoretical and field studies
417
E. Lück,
J. Riihlmann and U.
Spangenberg
Using secondary information sources to improve the within-field soil
textural
mapping
in a layered alluvial soil
425
W.A.U. Vitharana, M. Van Meirvenne andL. Coda
Spatial and temporal variability of soil properties with respect to relief information
433
H.I.
Reuter,
K.C.
Kersebaum and O.
Wendroth
Precision Agriculture 'OS
•
Soil sensors
Prediction and spatial variability of soil dynamic properties in sugar cane fields of
Sao Paulo State
-
Brazil
441
R.B. Silva, K.P.
Lanças
and
E.E.
V. Miranda
An integrated system for mapping soil physical properties on-the-go: the mechanical
sensing component
449
V.l.
Adamchuk and RT. Christenson
Development of soil
pH
and lime requirement maps using on-the-go soil sensors
457
E.D. Lund,
V.l.
Adamchuk, K.L. Collings,
P.E.
Drummond
and CD. Christy
Evaluation of the penetration resistance along a transect
465
H. Domsch, J. Boess, D. Ehlert andH.-J. Wuttig
Comparison of geoelectrical methods for soil mapping
473
R. Gebbers and
E. Lück
Mobile TDR for geo-referenced measurement of soil water content and electrical
conductivity
481
Anton Thomsen, Per Drosher and Flemming Steffensen
Bulk density maps as affected by implementation of a depth control system during
on-line measurement of soil compaction
487
Abdul Mounem Mouazen and Herman Ramon
A real-time multi-spectral soil sensor: predictability of soil moisture and organic matter
content in a small field
495
5.
Shibusawa, K. Ehara, T. Okayama, H.
Umeda
and S. Hirako
Obtaining 'useful' high-resolution soil data from proximally-sensed electrical
conductivity/resistivity (PSEC/R) surveys
503
Alex. B. McBratney, Budiman Minasny and Brett M. Whelan
Field measurements of soil
pH
and lime requirement using an on-the-go soil
pH
and
lime requirement measurement system
511
R.A. Viscarra
Rossel,
M.
Gilbertson,
L. Thylén, O.
Hansen,
S. McVey
and
A.B.
McBratney
On-the-go sensor for measurement of dry bulk density referring to soil compaction
521
Abdul Mounem Mouazen,
Josse De Baerdemaeker
and Herman Ramon
Site-specific soil properties prediction using hyperspectral signatures of topsoil coverage
and underground image by real-time soil spectrophotometer
529
S.K. Roy, S. Shibusawa and T. Okayama
Topsoil mapping using hyperspectral airborne data and multivariate regression modeling
537
Thomas
Selige, Urs Schmidhalter
Precision Agriculture
'05
1
3
Technology
for precision agriculture 547
•
Image analysis
Ground truth evaluation of
3D
computer vision on non-rigid biological structures
549
M. Nielsen, H.J. Andersen, D.C. Slaughter and E. Granum
Measuring distribution accuracy of fertiliser using image analysis
557
A. Rydberg
and
G. Lundin
•
Communication
ISOBUS
compatible implements in the project AGRIX
565
T. Ohanen, P. Suomi,
A. Vísala
and H. Haapala
Wireless sensor networks for precise Phytophthora decision support
573
D. Goense, J. Thelen and K. Langendoen
•
Guidance,
autosteer
and robotics
Economics of
Lightbar
and Auto-Guidance GPS Navigation Technologies
5 81
T. Griffin, D. Lambert andJ. Lowenberg-DeBoer
Agricultural robots: an economic feasibility study
589
S.M. Pedersen, S. Fountas, H. Have and B.S. Blackmore
A two-stage route planning system for autonomous agricultural vehicles
597
S. Vougioukas, S. Blackmore, J. Nielsen and S. Fountas
A test facility for evaluating dynamic GPS accuracy
605
Timothy Stombaugh, John Cole, Scott Shearer, Benjamin Koostra
Investigation of the accuracy of a machine vision based robotic micro-spray system
613
H. T. Sogaard and I. Lund
Robotic agriculture
-
the future of agricultural mechanisation?
621
Simon Blackmore, Bill Stout, Maohua Wang and Boris Runov
Development and test of an autonomous Christmas tree weeder
629
Henrik
Have, Jon Nielsen, Simon Blackmore and
Frans Theilby
Sensor-actuator integration in a commercial tractor for safe teleoperation and
autonomous navigation
637
M.C. Garcia-Alegre,
L
García-Pérez,
A. Ribeiro, D.
Guinea
Tractor-implement dynamic trajectory model for automated navigation applications
645
L. Feng, Y. He and Q. Zhang
14
Precision Agriculture
'05
• Variable
rate application
Variable rate applicationTesting the viability of existing ground spread fertiliser spreaders to
perform variable rate fertilisation
655
H. Lawrence, I. Yule, J. Jones and M. Hedley
Variable rate granular fertilization of citrus groves: spreader performance with single-tree
prescription zones
665
A. Schumann, W. Miller, Q. Zaman, K. Hostler, S. Buchanon, G. Perkins and S.
Cugati
Design of a seeder to achieve highly uniform sowing patterns
675
H.W. Griepentrog, P.T. Skou, J.F. Soriano andB.S. Blackmore
Variable dose rate application of herbicides using optical sensors
683
U.R.
Antuniassi, M.S. Nery and C.A.S.
Queiroz
Dynamic modeling of variable-rate granular applicator hydraulic flow control valve
691
S.A.
Cugati,
W.M.
Miller and J.K.
Schneller
Spatial analysis and mapping
699
Effect of interpolation methods and filtering on the quality of yieldmaps
701
P.O. Noack, T. Muhr andM. Demmel
Maximum likelihood variograms for efficient prediction in precision agriculture
707
R. Kerry and M.A. Oliver
Improving prediction of soil properties in precision agriculture by co-kriging with
properties that are easily measured
715
R. Kerry and M.A. Oliver
Multivariate geostatistics for assessing and predicting soil compaction
723
M. Carrara,
A.
Castrignanò,
A. Comparetti, P. Febo and S. Orlando
Spatial relation between NDVI and grain yield: impact of spatial resolution and
measurement device
731
O.
Wendroth,
A.
Giebel,
E. Pena-Yewtukhiw, K.C.
Kersebaum, G.J. Schwab, H.I.
Reuter,
L.
W.
Murdock and T.S.
Stombaugh
Yield mapping based on robust fitting paraboloid cones in butterfly and elliptic
neighborhoods
741
M. Bachmaier and H. Auernhammer
Spatial variability of the Illinois soil nitrogen test: implications for soil sampling
751
Matías
L.
Ruffo, German
A. Bollero
and Donald G. Bullock
Precision Agriculture
'05
1
5
Management
'59
•
Soil- and crop modelling
How spatial and temporal variability can affect fertilization trial results
761
A.
Castrignanò,
G.
Buttafuoco,
M.
Pisante
and
Α.
V.
Vonella
A potential role of permanent soil variables and field topography to reveal scale
dependence and the temporal persistence of soil water content spatial patterns
769
H. Bourennane, B. Nicoullaud, A. Couturier, B. Mary, G. Richard and D. King
Predicting dynamics of Chenopodium album in a four year crop rotation using
site-specific weed control
779
D.
Dicke,
R.
Gerhards
and
W.
Kühbauch
Time series analysis of high spatial resolution SPOT images for wheat growth monitoring
787
Jean-Philippe Denux, Anne Jacquin, Michel Gay,
Ignacio Touriño
and
Véronique Chéret
Long term simulation of soil/crop interactions to estimate management zones and
consequences for site specific nitrogen management considering water protection
795
K.C. Kersebaum, H.I.
Reuter,
К.
Lorenz
and
О.
Wendroth
Using sensor information on drought stress for a site specific calibration of a wheat
simulation model
803
U.
Böttcher
and H. Kage
•
Site-specific management and decision support systems
Combining soil-landscape and spatial-temporal variability of yield information to
delineate site-specific management zones
811
Y.
Miao,
DJ.
Mulla
and PC. Robert
Topographical data for delineation of agricultural management zones
819
Petter Pilesjö, Lars Thylén and Andreas Persson
Optimum
N
management
using site-specific
management
zones
827
R. Khosla, D.
Inman andD.G. Westfall
Early season grain yield prediction using remote sensing and site-specific management
zones
zones
D.
Inman,
R.
Khosla,
M.
Lefsky andD.G.
Westfall
A method to combine yield and quality maps to aid decision-making
843
T. Chosa, M.
Omine
and H. Hosokawa
Multiple variable rate input application: a decision framework
849
B.C. English, R.K. Roberts andJ. Larson
Extending Site-Specific Crop Management from individual fields to an entire farm
857
M.J. Florin,
A.B.
McBratney and B.M. Whelan
6
Precision Agriculture
'05
Local response to
nitrogen
inputs: advancing SSCM within Australia
865
B.M.
Whelan and
J.
A. Taylor
FARMSTAR: an
efficient decision support tool for near real time crop management from
satellite images
873
B. Coquil and Jean Paul
Bordes
Precision viticulture
881
Whole-of-vineyard experimentation: an improved basis for knowledge generation and
decision making
883
R.G. V. Bramley,
D.M.
Lányon
and
K. Panten
Generating benefits from Precision Viticulture through selective harvesting
891
R.G. V. Bramley, A.P.B.
Proffitt,
C.J.
Hinze,
В.
Pearse
and R.P. Hamilton
Obtaining grape yield maps and analysis of within-field variability in Raimat (Spain)
899
J.
Arno,
X.
Bordes,
M.
Ribes-Dasi, R.
Blanco,
IR. Roseli and
J.
Esteve
A comparison of the spatial variability of vineyard yield in European and Australian
production systems
907
James Taylor, Bruno Tisseyre, Rob Bramley and Angela Reid
Combination of heterogeneous data sets in Precision Viticulture
915
J-N.
Paoli,
В.
Tisseyre,
О.
Strauss, J-M. Roger and
S. Guillaume
Vine parcel detection in aerial images combining
textural
and structural approaches
923
G. Rabatel, C. Detain and M. Deshayes
Delineation of vine fields by segmentation of high resolution remote sensed images
933
F. Michelet, J.P. Da Costa,
С
Germain, O. Lavialle and
G. Grenier
Precision irrigation
941
The potential contribution of precision irrigation to water conservation
943
S.A.
Al-Kufaishi, B.S. Blackmore and H. Sourell
Farm-scale testing of site-specific irrigation and nitrogen fertilization for cotton
production in the Southern High Plains of Texas, USA
951
J.D. Booker, K.F. Bronson, J. W. Keeling, J.P. Bordovsfy, E. Segarra and
Margarita Velandia-Parra
Optimal water storage location and management zone delineation under variable
subsurface drip irrigation
959
Carl R. Dillon, Saved Saghaian,
Juma Salim
and
Murali Kanakasabai
Precision Agriculture
'05
1
7
Economic and environmental effects of precision agriculture
967
Precision agriculture improves efficiency of nitrogen use and minimises its leaching at
within-field to farm scales
969
M. T.F. Wong, S. Asseng and H. Zhang
A key indicator for the assessment of spatially variable phosphorus fertilisation
977
Mats
Söderström,
Anna
Nyberg, Christoffer
Anderson and
Börje Linden
Evaluating the benefits from precision agriculture: the economics of meeting traceability
requirements and environmental targets
985
Tihomir Ancev, Brett Whelan and Alex McBratney
Keyword index
995
Keyword index
1001
18
Precision Agriculture 'OS |
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| author2 | Stafford, John V. |
| author2_role | edt |
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| bvnumber | BV021323223 |
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| ctrlnum | (OCoLC)634865057 (DE-599)BVBBV021323223 |
| discipline | Agrarwissenschaft Pflanzenbau |
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| edition | 1. publ. |
| format | Conference Proceeding Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01926nam a2200421 c 4500</leader><controlfield tag="001">BV021323223</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20060316 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">060206s2005 ad|| |||| 10||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9076998698</subfield><subfield code="9">90-76998-69-8</subfield></datafield><datafield tag="033" ind1="0" ind2=" "><subfield code="a">2005</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)634865057</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV021323223</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-M49</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">LAN 104f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Precision agriculture ‘05</subfield><subfield code="b">[papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005]</subfield><subfield code="c">[JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. 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| genre_facet | Konferenzschrift 2005 Uppsala |
| id | DE-604.BV021323223 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:59:31Z |
| indexdate | 2024-07-09T20:35:39Z |
| institution | BVB |
| institution_GND | (DE-588)10014495-0 (DE-588)6506394-6 |
| isbn | 9076998698 |
| language | English |
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| physical | 1005 S. Ill., graph. Darst. |
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| publisher | Wageningen Acad. Publ. |
| record_format | marc |
| spelling | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] [JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. Ed. by J. V. Stafford ... 1. publ. Wageningen Wageningen Acad. Publ. 2005 1005 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Teilschlagbewirtschaftung (DE-588)4493423-3 gnd rswk-swf Präzisionslandwirtschaft (DE-588)4706034-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2005 Uppsala gnd-content Teilschlagbewirtschaftung (DE-588)4493423-3 s DE-604 Präzisionslandwirtschaft (DE-588)4706034-7 s b DE-604 Stafford, John V. edt JTI, Institutet för Jordbruks- och Miljöteknik (Uppsala) Sonstige (DE-588)10014495-0 oth European Conference on Precision Agriculture 5 2005 Uppsala Sonstige (DE-588)6506394-6 oth Uppsala (DE-588)1029360-7 gnd evp Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014643594&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] Teilschlagbewirtschaftung (DE-588)4493423-3 gnd Präzisionslandwirtschaft (DE-588)4706034-7 gnd |
| subject_GND | (DE-588)4493423-3 (DE-588)4706034-7 (DE-588)1071861417 |
| title | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |
| title_auth | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |
| title_exact_search | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |
| title_exact_search_txtP | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |
| title_full | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] [JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. Ed. by J. V. Stafford ... |
| title_fullStr | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] [JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. Ed. by J. V. Stafford ... |
| title_full_unstemmed | Precision agriculture ‘05 [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] [JTI, Swedish Institute of Agricultural and Environmental Engineering ...]. Ed. by J. V. Stafford ... |
| title_short | Precision agriculture ‘05 |
| title_sort | precision agriculture 05 papers presented at the 5th european conference on precision agriculture held in uppsala sweden 9 12 june 2005 |
| title_sub | [papers presented at the 5th European Conference on Precision Agriculture, held in Uppsala, Sweden ; 9 - 12 June 2005] |
| topic | Teilschlagbewirtschaftung (DE-588)4493423-3 gnd Präzisionslandwirtschaft (DE-588)4706034-7 gnd |
| topic_facet | Teilschlagbewirtschaftung Präzisionslandwirtschaft Konferenzschrift 2005 Uppsala |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014643594&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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