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- 29–64 Soil and Modelling 29–64
- 125–152 Hydraulic systems 125–152
- 153–184 Sensor 153–184
- 185–226 Product Development 185–226
- 227–250 Harvesting 227–250
- 251–278 Decision Support 251–278
- 279–308 Management of Grassland 279–308
- 309–342 Tillage and Soil 309–342
- 343–364 Automation 343–364
- 365–396 Electric Applications 365–396
- 397–422 Networks and Bus Systems 397–422
- 423–446 Alternative Fuels 423–446
- 447–472 Harvesting 2 447–472
- 473–500 Communication 473–500
- 521–534 Tractor 521–534
- 535–558 ISOBUS and Networks 535–558
4 Treffer gefunden
- „... fill level of the grain cart on its different regions. This results in the combine operator spending ...” „... employment [3]. Fig. 2: Difference in dwell time (%) visualization in AOIs (Area Of Interest) in a combine ...” „... Quantification of operator assist features’ impact on grain cart operation M. Sc. Ramon Buchaca ...”
- „... characteristics including the number of regions of interest (ROI) and total pixels, N-Time’s execution speed was ...” „... , University of Nebraska - Lincoln, Lincoln, NE, USA Abstract N-Time Fertigation Management System (N-Time ...” „... accompanying prescription for an imminent fertigation application. Fertigation, the practice of applying ...”
- „... developments in this region of interest and therefore to ensure brand independent interoperability to enable ...” „... . Farmers are asking for a solution to join the workforce of multiple machines on a single field. To enable ...” „... focuses on realization of task controller adaptations. In addition, the University of Applied Sciences in ...”
- „... Concept of a Test Environment for the Automated Evaluation of Algorithms for Robust and Reliable ...” „... conflict with a reliable interpretation of the environment by conventional sensor systems. Influences like ...” „... rain, dust, dazzling light or variety of plant and soil characteristics lead to the need of robust ...”