LAND.TECHNIK 2024
Zusammenfassung
Content Vehicle Guidance Track Planning – an implements point of view 1 Guiding principles and challenges in the context of environment perception and geofencing in the agricultural application domain 7 Automatic track guidance in high-standing maize crops 15 Standardization AEF – Digital Camera Systems – A new project team working on an AEF Functionality for High Speed ISOBUS 21 Introducing the AEF Autonomy in Ag project 29 Integrating High-Speed Data Communication via Automotive Ethernet with a Service-Oriented Architecture Established using SOME/IP in Agricultural Machinery 37 ISOBUS Migration From CAN to Ethernet – Doing it Right From the Beginning 43 Innovations through AI Technologies Green revolution – AI for precise weed and pest control 49 Accelerating the AI lifecycle with the AgriGaia-Platform Presentation of a modular platform concept used to support AI developers, based on open-source software 63 Edge-Cloud Intelligence and AI for Large-scale Agricultural Production Systems 69 Data Integration in Agricultural Engineering Facilitating seamless collaboration: Secure decentralized group management in interoperable wirele...
Schlagworte
- I–XII Titelei/Inhaltsverzeichnis I–XII
- 1–20 Vehicle Guidance 1–20
- 1–6 Track Planning – an implements point of view 1–6
- 7–14 Guiding principles and challenges in the context of environment perception and geofencing in the agricultural application domain 7–14
- 15–20 Automatic track guidance in high-standing maize crops 15–20
- 21–48 Standardization 21–48
- 21–28 AEF – Digital Camera Systems – A new project team working on an AEF Functionality for High Speed ISOBUS 21–28
- 29–36 Introducing the AEF Autonomy in Ag project 29–36
- 37–42 Integrating High-Speed Data Communication via Automotive Ethernet with a Service-Oriented Architecture Established using SOME/IP in Agricultural Machinery 37–42
- 43–48 ISOBUS Migration From CAN to Ethernet – Doing it Right From the Beginning 43–48
- 49–74 Innovations through AI Technologies 49–74
- 49–62 Green revolution – AI for precise weed and pest control 49–62
- 63–68 Accelerating the AI lifecycle with the AgriGaia-Platform Presentation of a modular platform concept used to support AI developers, based on open-source software 63–68
- 69–74 Distributed Edge-Cloud Intelligence and AI for Large-scale Agricultural Production Systems 69–74
- 75–102 Data Integration in Agricultural Engineering 75–102
- 75–80 Facilitating seamless collaboration: Secure decentralized group management in interoperable wireless in-field communications 75–80
- 81–86 Current situation and challenges of automatization standards in farm machinery and FMIS from a dealer perspective Future development of agricultural machinery dealer business 81–86
- 87–96 Decentral and Central Technologies combined to one „DataXChange System“ 87–96
- 97–102 EU Data Act: Data governance as an enabler 97–102
- 103–126 Energy Solutions and Ergonomics Assessment 103–126
- 103–112 Fuel cell electric agricultural tractor FCTRAC: operation strategy, homologation, benchmarking, and field testing 103–112
- 113–118 Is fast charging relevant and beneficial for agricultural machinery? 113–118
- 119–126 Evaluation of adaptive operating concepts on agricultural tractors in a laboratory test rig to assess cognitive and physical ergonomics 119–126
- 127–146 Combine Harvester 127–146
- 127–132 Modelling two-dimensional Separation Approach for Rotor Units of Combine Harvesters Combining Böttingers Separation Model and Wackers Crop Flow Model to a two-dimensional Separation Model for Rotor Un... 127–132
- 133–138 Digital Twins in Agricultural Engineering Benefits in Developing New Combine Harvester Concepts 133–138
- 139–146 Study on the use of DEM for the threshing process 139–146
- 147–178 Networking and Automation 147–178
- 147–158 Radio technologies for infrastructureless M2M communication for Ag applications around the world 147–158
- 159–168 Field Trials and Evaluation Methods for Sensors used in Perception Systems for Autonomous Machinery with Respect to SOTIF 159–168
- 169–178 Operation and investigation of adaptive mesh networks to increase the connectivity of agricultural machinery 169–178
- 179–204 Process Automation 179–204
- 179–186 SpeeDiFlow – Non-invasive Measurement of Air Speed and Direction A robust Sensor for Particle-Laden Flows 179–186
- 187–194 Field evaluation insights of a novel optical sorting approach suitable for mobile operation on a potato harvester 187–194
- 195–204 Tillage Quality Measurement: Surface Roughness Analysis using Height Profiles 195–204
- 205–234 Parameter Measurement in Farming 205–234
- 205–214 Fusing SAR and Weather with Physics-Inspired ML for Improved Soil Moisture Estimation 205–214
- 215–222 Systematic Data Selection for Enhanced Nutrient Prediction and Monitoring in Manure Using NIR 215–222
- 223–228 Detection of Rumex spp. in Grassland using Multispectral Images and Deep Learning 223–228
- 229–234 Long term validation for app based chop quality estimation for silage maize 229–234
- 235–254 Digital Innovation 235–254
- 235–242 Unpacking the opportunities and limitations of data spaces in agriculture 235–242
- 243–248 Potential of agricultural machinery data for the evaluation of travel times 243–248
- 249–254 Training neural networks for tramline detection in an autonomous driving tractor using synthetic images 249–254
- 255–274 Cultivation 255–274
- 255–262 CF-Plough – An innovative solution for climate protection, soil fertility and yield security 255–262
- 263–268 Potential for increasing the efficiency of active soil tillage in crops, which are cultivated in ridges 263–268
- 269–274 A new approach of in-row-weeding sugar beets – using high pressure water jets and GNSS-locations of the crops 269–274
- 275–302 Innovative Technologies 275–302
- 275–282 V-Model Approach for Developing Safe Environment Perception Systems for Autonomous Machinery 275–282
- 283–288 Precise trunk localization using the example of in-row weeding in vineyards 283–288
- 289–296 Field Path Detection for Tractors Based on Acceleration Measurements and Multibody System Simulations 289–296
- 297–302 Implementation of a real-time plant detector for a selective grassland weeding machine using high-pressure water jets 297–302
- 303–322 Sustainable Energy and Irrigation Systems 303–322
- 303–310 Production and utilization of methane from cowshed gas on farms 303–310
- 311–316 Draft force evaluation of a deep ploughing technology for the installation of geothermal collectors under arable land 311–316
- 317–322 Holistic concept of technical solutions for subsurface drip irrigation of major crops in humid central European growing conditions 317–322
- 323–352 Assistant and Safety Concepts 323–352
- 323–332 Integration of a safety concept for an autonomous agricultural machine 323–332
- 333–340 Low-Cost, Rapid Development of Object Detectors for Automation of Agriculture Knowledge Distillation of GroundingDINO is Strong Pretraining 333–340
- 341–346 Applicable Safety Tests for Automated Agricultural Machinery and Robots Operational Design Domains and Dynamic Driving Tasks as Key to Functional Safety 341–346
- 347–352 TIM-Ready Trailer for Harvest Operations ISOBUS-ready Trailer for Harvest-Automation and -Documentation 347–352
- 353–XVI Sensor Technologies 353–XVI
- 353–362 Radar and ultrasonic systems from Bosch Engineering for automated agricultural machinery 353–362
- 363–368 Sensor breakthrough? Detection of invisible damages on potatoes before blackspot develops shown for multiple maturity stages and varieties using a tactile sensing technique 363–368
- 369–XVI Development of a supplement to a test standard for evaluating the guidance accuracy and working quality of sensor-based technologies for weed control by use of AI 369–XVI
