LAND.TECHNIK 2022

doi:10.51202/9783181023952

LAND.TECHNIK 2022

The Forum for Agricultural Engineering Innovations

Reihe: VDI-Berichte

Band 2395 1. Auflage 2022

Kein Zugriff

doi.org/10.51202/9783181023952
ISBN print: 978-3-18-092395-6
ISBN online: 978-3-18-102395-2
VDI Verlag, Düsseldorf VDI Verlag, Düsseldorf

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Zusammenfassung

INHALT

Electrical Agricultural Machines

Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods .....1

GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms ..... 11

GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System ..... 17

Fully electric Tractor with 1000 kWh battery capacity ..... 23

Soil and Modelling

The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) .....29

Identification of draft force characteristics for a tillage tine with variable geometry ..... 37

Calibration of soil models within the Discrete Element Method (DEM) ..... 45

Automation and Optimization of Working Speed and Depth in Agricultural Soil Tillage with a Model Predictive Control based on Machine Learning ..... 55

Synchronising machine adjustments of combine harvesters for higher fleet performance ..... 65

A generic approach to bridge the gap between route optimization and motion planning for specific guidance points o...

Schlagworte

Electrical Agricultural Machines GridCon2 tractor scientific soil compaction soil model discrete element method agricultural soil tillage machine learning macine adjustment harvester fleet performance autonomous weed control off-road and agricultural applications fan-airflow adjustment in-field-communication alternative fuels multifuel tractor

Kapitel Ausklappen | EinklappenAutorenSeiten
I–XVI Titelei/Inhaltsverzeichnis I–XVI
1–28 Electrical Agricultural Machines 1–28
- 1–10 Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods L. Frerichs, L. Buck L. Frerichs, L. Buck 1–10
- 11–16 GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms A. Klein, M. Kissel, P. Pickel, F. de Moraes Boos, V. Kegel A. Klein, M. Kissel, P. Pickel, F. de Moraes Boos, V. Kegel 11–16
- 17–22 GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System F. de Moraes Boos, S. Pfaffmann, V. Kegel F. de Moraes Boos, S. Pfaffmann, V. Kegel 17–22
- 23–28 Fully electric Tractor with 1000 kWh battery capacity M. Kissel, N. Tarasinski, A. Klein, V. Kegel, F. de Moraes Boos M. Kissel, N. Tarasinski, A. Klein, V. Kegel, F. de Moraes Boos 23–28
29–64 Soil and Modelling 29–64
- 29–36 The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) C. Birkmann, J. Wieckhorst, J. Pieper, C. Ehlert, R. Stirnimann, M. Stettler C. Birkmann, J. Wieckhorst, J. Pieper, C. Ehlert, R. Stirnimann, M. Stettler 29–36
- 37–44 Identification of draft force characteristics for a tillage tine with variable geometry S. Schwede, T. Herlitzius S. Schwede, T. Herlitzius 37–44
- 45–54 Calibration of soil models within the Discrete Element Method (DEM) K. Palm, J. Guo, L. Frerichs, A. Eitzlmayr, F. Maier, P. Seil K. Palm, J. Guo, L. Frerichs, A. Eitzlmayr, F. Maier, P. Seil 45–54
- 55–64 Automation and Optimization of Working Speed and Depth in Agricultural Soil Tillage with a Model Predictive Control based on Machine Learning S. Becker, B. Kazenwadel, M. Geimer S. Becker, B. Kazenwadel, M. Geimer 55–64
65–96 Control and Process Optimisation 65–96
- 65–70 Synchronising machine adjustments of combine harvesters for higher fleet performance I. Beermann, A. Kipp I. Beermann, A. Kipp 65–70
- 71–78 A generic approach to bridge the gap between route optimization and motion planning for specific guidance points of highly automated machines A. Grever, M. Muter, B. Johanning A. Grever, M. Muter, B. Johanning 71–78
- 79–86 Efficient Multi-Robot Path Planning for Autonomous Weed Control on Complex Field Configurations F. Keppler, N. Dunkelberg, S. Wagner, K. Janschek F. Keppler, N. Dunkelberg, S. Wagner, K. Janschek 79–86
- 87–96 Automatic residue spreading control based on radar sensing technology on a combine harvester A. Leenknegt, T. Mahieu, G. Nerinckx, B. Lenaerts, B. Missotten A. Leenknegt, T. Mahieu, G. Nerinckx, B. Lenaerts, B. Missotten 87–96
97–124 Robotics in Weed Control 97–124
- 97–104 Dual use sensor array for crop management in arable farming by CIELab color space – detection of N supply and plant discrimination A. Christ, O. Schmittmann, P. Schulze Lammers A. Christ, O. Schmittmann, P. Schulze Lammers 97–104
- 105–110 Selective weed control in grassland using high-pressure water jets F. Martin, G. Lohrmann, A. Stoll F. Martin, G. Lohrmann, A. Stoll 105–110
- 111–116 Practice of autonomous field robotics compared to a tractor-implement-combination for the example of mechanical weed control C. Scholz, B. Pamornnak, S. Becker, A. Ruckelshausen C. Scholz, B. Pamornnak, S. Becker, A. Ruckelshausen 111–116
- 117–124 Automated Droplet Size and Rate Control via Electromechanically Actuated Variable-Orifice Nozzles and Boom Pressure R. A. Rohrer, J. D. Luck R. A. Rohrer, J. D. Luck 117–124
125–152 Hydraulic systems 125–152
- 125–132 Increased Dynamics and System Efficiency with Position-Controlled Hydraulic Cylinder N. Strieker, T. Kohmascher N. Strieker, T. Kohmascher 125–132
- 133–146 Development of hydraulic drive systems in the context of electrified work machines A. Opgenoorth, K. Schmitz A. Opgenoorth, K. Schmitz 133–146
- 147–152 Hybrid and full-electric solution for Telescopic Handler G. Fiocchi G. Fiocchi 147–152
153–184 Sensor 153–184
- 153–162 Localization with a ground penetrating radar in harsh agricultural environments I. Stasewitsch, J. Schattenberg, L. Frerichs, K. Kruger, J. Schobel, M. Lehr, T. Neugebauer I. Stasewitsch, J. Schattenberg, L. Frerichs, K. Kruger, J. Schobel, M. Lehr, T. Neugebauer 153–162
- 163–170 Evaluation of perception sensors for safety of highly automated machine operations C. J. Lee, S. Schatzle, S. A. Lang C. J. Lee, S. Schatzle, S. A. Lang 163–170
- 171–176 Innovative surround sensing conquers the agricultural market! Vision System – a pioneering sensor system for diverse use M. Wesle-Zehetmair, C. Engelhart, C. Marbach, C. Engelhart M. Wesle-Zehetmair, C. Engelhart, C. Marbach, C. Engelhart 171–176
- 177–184 Concept of a Test Environment for the Automated Evaluation of Algorithms for Robust and Reliable Environment Perception C. Krause, N. Iqbal, J. Hertzberg, M. Hollmann, J. Martinez, D. Nieberg, A. Ruckelshausen, S. Stiene, S. Rottgermann, M. Muter, A. Berghaus, J. Herbers, S. Menke C. Krause, N. Iqbal, J. Hertzberg, M. Hollmann, J. Martinez, D. Nieberg, A. Ruckelshausen, S. Stiene, S. Rottgermann, M. Muter, A. Berghaus, J. Herbers, S. Menke 177–184
185–226 Product Development 185–226
- 185–192 A Study on Improving Cross-Company Co-Operation by Systems Engineering Implementation and Application C. von Holst, O. Klaar C. von Holst, O. Klaar 185–192
- 193–202 Frugal Innovation – “Doing more with less” K. Singh Sian K. Singh Sian 193–202
- 203–218 Aspects of sustainability improvement in the design of future agricultural systems M. Holovač, J. Krzywinski M. Holovač, J. Krzywinski 203–218
- 219–226 Validation Principles of Agricultural Machine Multibody Dynamics Models B. Adams B. Adams 219–226
227–250 Harvesting 227–250
- 227–234 Quantification of operator assist features’ impact on grain cart operation R. Buchaca, T. Langer R. Buchaca, T. Langer 227–234
- 235–242 Automatic adjustment of auger headers with variable table length to improve a continuous crop flow and reduce pickup grain losses of a combine harvester D. Neitemeier, S. Spiekermann, D. Irmer, J. Baumgarten, A. Wilken D. Neitemeier, S. Spiekermann, D. Irmer, J. Baumgarten, A. Wilken 235–242
- 243–250 Compact cooling system set-up with an innovative pre-cleaning solution for a mid-range combine harvester application D. Thute, J. Furmaniak, A. Alterbaum D. Thute, J. Furmaniak, A. Alterbaum 243–250
251–278 Decision Support 251–278
- 251–258 Private mobile ad hoc communications and the application in LANDNETZ A. Hecker, B. Striller, N. Franchi A. Hecker, B. Striller, N. Franchi 251–258
- 259–264 N-Time: An Automated Decision Support System for Sensor-Based Fertigation Management J. S. Stansell, J. D. Luck, T. G. Smith, H. Yu, D. R. Rudnick, B. T. Krienke J. S. Stansell, J. D. Luck, T. G. Smith, H. Yu, D. R. Rudnick, B. T. Krienke 259–264
- 265–272 Generating High-Definition As-Applied Maps for Pneumatic Fertilizer Application Equipment J. P. Fulton, R. Colley III, S. A. Shearer, E. M. Hawkins J. P. Fulton, R. Colley III, S. A. Shearer, E. M. Hawkins 265–272
- 273–278 A Modular Approach for a Dialog Based Assistance System to Adjust and Optimize Machines and Machine Combinations for Different Agricultural Applications Y. Ehlert Y. Ehlert 273–278
279–308 Management of Grassland 279–308
- 279–284 Spot spraying broad-leaved dock plants in meadows T. Anken, A. Latsch, M. Hatt T. Anken, A. Latsch, M. Hatt 279–284
- 285–292 Tractor-mounted implement with section control and small-scale robot: Monte Carlo-based scenario analysis for effective weed control in extensive grassland L. Petrich, V. Schmidt, A. Stoll L. Petrich, V. Schmidt, A. Stoll 285–292
- 293–300 Estimation of grassland yield from satellite data with ANN based transfer learning E. Eder, P. Riegler-Nurscher, J. Prankl E. Eder, P. Riegler-Nurscher, J. Prankl 293–300
- 301–308 Stereo camera-based method for grassland yield estimation P. Riegler-Nurscher, J. Prankl, D. Schauer P. Riegler-Nurscher, J. Prankl, D. Schauer 301–308
309–342 Tillage and Soil 309–342
- 309–316 Analysis of abrasive wear of tillage tools on both macro- and microscopic level J. Guo, L. Frerichs, F. Shen, S. Munstermann J. Guo, L. Frerichs, F. Shen, S. Munstermann 309–316
- 317–326 Combi-mulcher – Development of a modular biomass processing and soil blending system S. Geisler, T. Herlitzius S. Geisler, T. Herlitzius 317–326
- 327–334 A tyre integrated sensor to monitor real time soil physical properties A. Paturle, F. Pinet, A. Duparque, D. Martin, V. Tomis, O. Scheurer, C. Ugarte, M. Lefebvre A. Paturle, F. Pinet, A. Duparque, D. Martin, V. Tomis, O. Scheurer, C. Ugarte, M. Lefebvre 327–334
- 335–342 New Tire Technologies vs. Tracks – A Controlled Field Investigation to Assess Productivity A. A. Klopfenstein, C. R. Dean, R. Venkatesh, S. A. Shearer A. A. Klopfenstein, C. R. Dean, R. Venkatesh, S. A. Shearer 335–342
343–364 Automation 343–364
- 343–348 Yield observation outlier detection with unsupervised machine learning in harvest machines M. Abdipourchenarestansofla, H. P. Piepho M. Abdipourchenarestansofla, H. P. Piepho 343–348
- 349–358 Multi-Sensor Data Fusion with Fuzzy Knowledge-based Controller for Collision Avoidance of a Mobile Robot R. R. Shamshiri, C. Weltzien, T. Schutte R. R. Shamshiri, C. Weltzien, T. Schutte 349–358
- 359–364 Fundamental Concept for Highly Automated Implements with Distinct Regard To Process Automation S. Rottgermann, S. Haverkamp S. Rottgermann, S. Haverkamp 359–364
365–396 Electric Applications 365–396
- 365–380 Latest technology solutions for Charging and e-Machines – how off-road and agriculture applications can benefit from automotive innovations S. Prufling, B. Langer S. Prufling, B. Langer 365–380
- 381–388 Tractor equipped with an external electric generator combined with electric powered Sprayer and Mulcher performances evaluation M. Varani, G. Molari, M. Mattetti, S. Fiorati, N. Lenzini, M. Montanari M. Varani, G. Molari, M. Mattetti, S. Fiorati, N. Lenzini, M. Montanari 381–388
- 389–396 Airblast sprayer electrification for real-time, continuous fan-airflow adjustment according to canopy density during pesticide application in 3D crops M. Grella, P. Marucco, F. Gioelli, P. Balsari, L. Athanasakos, N. Mylonas, S. Fountas, I. Zwertvaegher, D. Nuyttens, A. Caffini, F. Meroni, R. Rossi M. Grella, P. Marucco, F. Gioelli, P. Balsari, L. Athanasakos, N. Mylonas, S. Fountas, I. Zwertvaegher, D. Nuyttens, A. Caffini, F. Meroni, R. Rossi 389–396
397–422 Networks and Bus Systems 397–422
- 397–404 AEF Wireless In-Field Communication – Common Coverage Map as a first application for interoperable cooperative field work M. Rothmund, J. Witte, N. Wolniak, T. Nothdurft M. Rothmund, J. Witte, N. Wolniak, T. Nothdurft 397–404
- 405–412 Lost, but reconnected virtually – AEF ISOBUS Plugfest is back and better than ever M. Bruck M. Bruck 405–412
- 413–418 Farming 4.0 ready telematics unit for basic, non-intelligent agricultural machines F. Kraatz F. Kraatz 413–418
- 419–422 AEF – Agricultural Interoperability Network V. Zippel, A. Olliver, S. Stesny, H. J. Nissen, F. Ahlers V. Zippel, A. Olliver, S. Stesny, H. J. Nissen, F. Ahlers 419–422
423–446 Alternative Fuels 423–446
- 423–430 Applicability Evaluations of Methane based Powertrain and Energy Storage Systems on High Performance Harvesting Machine Applications F. Wohlfahrt, T. Gores, S. Terorde, L. Frerichs F. Wohlfahrt, T. Gores, S. Terorde, L. Frerichs 423–430
- 431–440 Challenges in the Use of Alternative Fuels: Solutions to handle Boil-Off Gas in Agricultural Machines F. Pult, A. Stein, M. Geimer F. Pult, A. Stein, M. Geimer 431–440
- 441–446 The Multifuel Tractor – A Flexible Fuel Option to Reduce Fossil Fuel Consumption A. Schroder, P. Pickel, P. Emberger, J. Spiegel, E. Remmele A. Schroder, P. Pickel, P. Emberger, J. Spiegel, E. Remmele 441–446
447–472 Harvesting 2 447–472
- 447–456 Adaptive control of a self-propelled sugar beet harvester S. Schwich, J. Schattenberg, L. Frerichs, M. Gallmeier S. Schwich, J. Schattenberg, L. Frerichs, M. Gallmeier 447–456
- 457–464 Influence of design and operating parameters on crop-flow characteristics in a self-propelled forage harvester (SPFH) using experimental and numerical methods A. Lindenberger, M. Uhl, M. Frank A. Lindenberger, M. Uhl, M. Frank 457–464
- 465–472 Current Developments and Challenges in the Range of Tractor Mounted Forage Harvesters M. Mosker M. Mosker 465–472
473–500 Communication 473–500
- 473–484 Machine operation task analysis – A deeper look into the shift of task profiles within operating agricultural cyber-physical production systems S. Lorenz S. Lorenz 473–484
- 485–494 Virtual CAN Network for Remote Development of ISOBUS Devices S. Brodie, T. Oksanen S. Brodie, T. Oksanen 485–494
- 495–500 The importance of data quality assessment for machinery data in the field of agriculture M. Abdipourchenarestansofla, C. Schroth M. Abdipourchenarestansofla, C. Schroth 495–500
501–520 Data Analysis and Exchange 501–520
- 501–510 FMIS evaluation and user experience within “Landnetz” T. Herlitzius, B. Striller, N. Staemmler, T. Pohl T. Herlitzius, B. Striller, N. Staemmler, T. Pohl 501–510
- 511–520 Data Spaces in Agriculture – Status Quo and Perspectives J. Doerr, R. Kalmar, B. Rauch, S. Stiene J. Doerr, R. Kalmar, B. Rauch, S. Stiene 511–520
521–534 Tractor 521–534
- 521–528 Analysis of the tractor behavior on a powertrain test bed for tractor-specific maneuvers C. Schoerghuber, M. Ortner, M. Resel, R. Schantl, S. Puster C. Schoerghuber, M. Ortner, M. Resel, R. Schantl, S. Puster 521–528
- 529–534 Feasibility study of an idling-stop device on agricultural tractors M. Mattetti, M. Varani, G. Molari, S. Fiorati M. Mattetti, M. Varani, G. Molari, S. Fiorati 529–534
535–558 ISOBUS and Networks 535–558
- 535–540 Artificial Intelligence based Grainloss Calculator and Real Time Connected APP M. Verhoeven, B. Missotten, J. Clarisse, S. Van Campenhout, S. Devos M. Verhoeven, B. Missotten, J. Clarisse, S. Van Campenhout, S. Devos 535–540
- 541–550 Faster CAN for better interplay with highspeed ISOBUS P. Fellmeth P. Fellmeth 541–550
- 551–558 AEF – High Speed ISOBUS – Technology Readiness for a Next Generation Network D. Smart, V. Brill D. Smart, V. Brill 551–558

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LAND.TECHNIK 2022

Zusammenfassung

Schlagworte

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