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LAND.TECHNIK 2020 / Titelei/Inhaltsverzeichnis
LAND.TECHNIK 2020 / Titelei/Inhaltsverzeichnis
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I–XIV
Titelei/Inhaltsverzeichnis
I–XIV
Details
1–30
Electrical Systems
1–30
1–8
Sustainable Agriculture in an Electrified World – Cradle-to-Grave evaluation of different propulsion systems
S. Pretsch, M. Rothbart
S. Pretsch, M. Rothbart
1–8
Details
9–16
Understanding the opportunities and challenges of self-driving, electric field tractors using dynamic discrete-event simulation
O. Lagnelöv, P.-A. Hansson
O. Lagnelöv, P.-A. Hansson
9–16
Details
17–22
Design and analysis of a magnetic-electrical power split gearbox for application in an agricultural vehicle
M. Lang
M. Lang
17–22
Details
23–30
Development of a 3-speed gearbox in electric powertrain – Ground drive transmission for a commercial vehicle
A. Roth, C. Puls
A. Roth, C. Puls
23–30
Details
31–60
Data Management
31–60
31–36
Farmers’ expectations in Precision Farming Technologies – Transfarm 4.0 online survey 2019
R. Streimelweger, J. Karner, C. Rechberger
R. Streimelweger, J. Karner, C. Rechberger
31–36
Details
37–46
Cyber Threats and Cyber Risks in Smart Farming
R. Haas, C. Hoffmann
R. Haas, C. Hoffmann
37–46
Details
47–54
Automatic logging and situation-related evaluation of manufacturer independent machine data
T. Stein
T. Stein
47–54
Details
55–60
Data insight and expert knowledge combined to maximize uptime
N. Fischer
N. Fischer
55–60
Details
61–134
Cultivation
61–134
61–68
Seed Spacing in Cereals – Using Artificial Intelligence to define a quality value of precision seed placement
T. Bund, S. Kuebler, C. Struve, B. Honermeier
T. Bund, S. Kuebler, C. Struve, B. Honermeier
61–68
Details
69–72
Multipurpose soil tillage with smart machinery – Electric-driven, sensor-controlled soil tillage
T. Bögel, T. Herlitzius
T. Bögel, T. Herlitzius
69–72
Details
73–82
Tool management, controlling and condition detection for highly automated/autonomous soil cultivation
M. Hengst, T. Herlitzius, S. Pantke, P. Zirker
M. Hengst, T. Herlitzius, S. Pantke, P. Zirker
73–82
Details
83–92
Soil protection and energy savings through efficient energy supply to machines for primary and secondary soil tillage
R. Schmetz, R. Hartanto
R. Schmetz, R. Hartanto
83–92
Details
93–102
Legal Risks and Chances of Automation in Agriculture – Is EU regulation stifling or promoting innovation?
F. Mörth, J. Pfeil
F. Mörth, J. Pfeil
93–102
Details
103–130
ROS2 for Autonomous Agriculture Applications
D. Cook, J. Viramontes
D. Cook, J. Viramontes
103–130
Details
131–134
Test as a way to implement robots in agriculture
B. Feld Mikkelsen, R. Besana
B. Feld Mikkelsen, R. Besana
131–134
Details
135–156
Forage Harvesting
135–156
135–142
Parameter identification for Discrete-Element-Method (DEM) particles of a self-propelled forage harvester (SPFH) chopping sample
A. Lindenberger, C. Korn
A. Lindenberger, C. Korn
135–142
Details
143–150
A Season in Data: Efficiency of a Forage Mower
T. Crotty, D. Byrne, E. Jones, M. Glavin, J. Warren
T. Crotty, D. Byrne, E. Jones, M. Glavin, J. Warren
143–150
Details
151–156
Investigations of a cutter bar operated in resonance mode with an electric direct drive
M. Pußack, I. Stasewitsch, L. Frerichs
M. Pußack, I. Stasewitsch, L. Frerichs
151–156
Details
157–186
Data Management – Networks
157–186
157–166
AEF Wireless In-Field Communication – Agrarian M2M communication for inter brand cooperative machine applications
M. Gorius, T. Nothdurft, J. Witte, Saverio Zuccotti
M. Gorius, T. Nothdurft, J. Witte, Saverio Zuccotti
157–166
Details
167–174
Industry 4.0 and Agriculture 4.0 – The same or different?
H. Bernhardt, M. Bozkurt, E. Colangelo, J. HorstmannM. Kraft, J. Marquering, T. Steckel, H. Tapken, C. Westerkamp, C. Weltzien
H. Bernhardt, M. Bozkurt, E. Colangelo, J. HorstmannM. Kraft, J. Marquering, T. Steckel, H. Tapken, C. Westerkamp, C. Weltzien
167–174
Details
175–186
New INFO feature under AEF development – Is the potential for a new and independent ISOBUS Functionality given?
B. Klöpper
B. Klöpper
175–186
Details
187–212
Process Optimisation Combines
187–212
187–194
Integration of a crop moisture sensor in a combine harvester in order to improve the automatic machine adjustment
C. Högemeier, C. Bußmann, R. Middelberg, P.-E. Dziadek
C. Högemeier, C. Bußmann, R. Middelberg, P.-E. Dziadek
187–194
Details
195–202
Determination of grain losses and broken grains
P. C. Etzbach, T. Rademacher, U. Rubenschuh
P. C. Etzbach, T. Rademacher, U. Rubenschuh
195–202
Details
203–212
Challenges of calibrating grain loss sensors of combine harvesters
J. Baumgarten
J. Baumgarten
203–212
Details
213–232
Robotics on the Fields
213–232
213–222
Experience gained in developing Autonomous Robots using AI and spot spraying to weed open field crops
S. Tanner
S. Tanner
213–222
Details
223–226
Fast Prototyping of Autonomous Vehicles
A. Bogatyryov
A. Bogatyryov
223–226
Details
227–232
Modular and Scalable Automation for Field Robots – Lighthouse project “Cognitive Agriculture”
J. Osten, C. Weyers, J. Petereit
J. Osten, C. Weyers, J. Petereit
227–232
Details
233–266
Automation and Human Factors
233–266
233–244
The application of mobile eye-tracking to improve the usability of touch terminals for farm vehicles: an example
I. Schröter, M. Keppmann, M. Mergenthaler, J. Stiegemann
I. Schröter, M. Keppmann, M. Mergenthaler, J. Stiegemann
233–244
Details
245–266
Evaluation of Human-Machine Interactions with Autonomous Agricultural Systems through Cyber-physical Prototypes
H. Wanta, M. Holovac, S. Lorenz, J. Krzywinski
H. Wanta, M. Holovac, S. Lorenz, J. Krzywinski
245–266
Details
267–302
Vision and Sensing
267–302
267–286
Remote Sensing im Feldversuchswesen
H. Battke, Andreas Muskolus
H. Battke, Andreas Muskolus
267–286
Details
287–294
Automatic weed spectrum and weed pressure assessment with RGB imagery
M. Schikora, J. Wildt, M. Zies, T. Schaare, V. Hadamschek, M. Bender
M. Schikora, J. Wildt, M. Zies, T. Schaare, V. Hadamschek, M. Bender
287–294
Details
295–302
Full digital video solution as a forward-looking technology for High Speed ISOBUS
N. Niebrügge, M. Terhaag, M. Ensink
N. Niebrügge, M. Terhaag, M. Ensink
295–302
Details
303–322
Engineering
303–322
303–308
Topology-optimized body structures and possibilities of realization using the example of a combine – feeder house
D. Brinkmann, L. Kortenjann, M. Niermann
D. Brinkmann, L. Kortenjann, M. Niermann
303–308
Details
309–314
Automation methods in computational frame development – Standards in FEA modelling and evaluation allow a high degree of automation in virtual strength verification processes
F. Uptmoor, B. Niemöller
F. Uptmoor, B. Niemöller
309–314
Details
315–322
Energy analyses of different advanced drive systems for agricultural machinery
R. Schmetz
R. Schmetz
315–322
Details
323–328
Automation and System Architecture
323–328
Spray-IQ Top – An Intelligent PWM Valve For Field Sprayer Nozzles
T. Loddenkemper, R. Schulte
T. Loddenkemper, R. Schulte
Details
329–344
Tractor Technologies
329–344
329–334
Investigation of tractor-trailer brake-systems
M. Nadlinger, J. Karner
M. Nadlinger, J. Karner
329–334
Details
335–344
How to improve operator comfort in a tractor with low noise gear pump technology
S. Cazzaniga, M. Zecchi, R. Marella, T. Beavers
S. Cazzaniga, M. Zecchi, R. Marella, T. Beavers
335–344
Details
345–368
Computer Vision
345–368
345–352
3D Colour vision for machine automation and safety – AI Sensor Fusion
S. Jordan, D. O’Rourke, L. Avery, J. Almond
S. Jordan, D. O’Rourke, L. Avery, J. Almond
345–352
Details
353–360
A review on plant and soil properties estimation using ground-based computer vision techniques in the visible spectrum
P. Riegler-Nurscher, J. Prankl, M. Vincze, H. Prankl
P. Riegler-Nurscher, J. Prankl, M. Vincze, H. Prankl
353–360
Details
361–368
A novel approach to determine the soil aggregate size distribution from high-resolution 3D point clouds
S. Steinhaus, L. Frerichs
S. Steinhaus, L. Frerichs
361–368
Details
369–386
Combine Harvester
369–386
369–374
Modular driveline solutions for a new generation of combine harvesters
M. Koch, M. Zeuner
M. Koch, M. Zeuner
369–374
Details
375–382
Development of a header-prototype in order to increase combine throughput in grain harvest
P. Flierl
P. Flierl
375–382
Details
383–386
Development of an advanced grain handling system for a new combine range
U. Claes
U. Claes
383–386
Details
387–412
Product Development
387–412
387–394
Concept development of a traction management system using the example of a pipe laying machine
D. Wildner, T. Herlitzius, T. Berg
D. Wildner, T. Herlitzius, T. Berg
387–394
Details
395–404
New approach for an innovative straw management with the ”Kombi-Mulcher“
C. Depenbrock, L. Frerichs
C. Depenbrock, L. Frerichs
395–404
Details
405–412
Alternative drives for agricultural machines – Legal frame, meaning, concepts, validation, conclusion
A. Kunz
A. Kunz
405–412
Details
413–434
Automation
413–434
413–424
From driver to automated driving – Proposal for a holistic step by step approach
A. Holler, C. Mueller
A. Holler, C. Mueller
413–424
Details
425–434
Autonomous Navigation Strategy for an Orchard Robot Using Simulation Design
S. Raikwar, T. Herlitzius, J. Fehrmann
S. Raikwar, T. Herlitzius, J. Fehrmann
425–434
Details
435–XIV
Informationtechnology and Engineering
435–XIV
435–444
Process model for an economic evaluation of cultivation methods on agricultural farms
L. Trösken, L. Frerichs
L. Trösken, L. Frerichs
435–444
Details
445–450
Cyber Security Management Systems for Agricultural Technology Products – A CSMS “light”
C. Hoffmann, M. Müller, R. Haas
C. Hoffmann, M. Müller, R. Haas
445–450
Details
451–XIV
Next generation hybrid-electric power steering systems for agriculture machines
S. Mercati, A. Bertoli, C. Ognibene
S. Mercati, A. Bertoli, C. Ognibene
451–XIV
Details
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LAND.TECHNIK 2020 , page I - XIV
Titelei/Inhaltsverzeichnis
Autoren
VDI Wissensforum GmbH (Ed.)
DOI
doi.org/10.51202/9783181023747-I
ISBN print: 978-3-18-092374-1
ISBN online: 978-3-18-102374-7
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