Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73448
Título: Validation of automated farming
Autores/as: Rooker, M.
López Feliciano, José Francisco 
Horstrand Andaluz, Pablo Sebastian 
Pusenius, M.
Leppälampi, T.
Lattarulo, R.
Pérez, J. 
Slavik, Z.
Sáez, S. 
Andreu, L.
Ruiz, A.
Pereira, D.
Zhao, L.
Clasificación UNESCO: 3102 Ingeniería agrícola
220990 Tratamiento digital. Imágenes
Palabras clave: Agriculture
Co-Simulation
Communication
Enable S3
Farming, et al.
Fecha de publicación: 2019
Editor/a: Springer 
Resumen: This chapter presents first concepts for the improved validation of automated farming solutions. Within the ENABLE-S3 ECSEL JU project, the farming use case team presents developments within the agricultural domain, that can in the future improve the life and working environment of farmers. Applications such as autonomous driving of farming vehicles equipped with sensors and drones supporting hyperspectral cameras, validated by newly defined testing systems like co-simulation of farming vehicles, model-based simulation of farming systems and verification and testing of in-vehicle communication are advances developed during the project. As agricultural activities are very dependent on environmental parameters (e.g. weather, harvest ripeness) and the availability of the actual vehicles (which is very often not the case), the use case team opted for realistic simulators for first validation approaches. In this work, multiple simulators are introduced that combine many agricultural concepts including the simulation of the farming systems (i.e. harvester, tractors and drones). Additionally, introducing autonomy into vehicles requires deterministic in-vehicle communication and the guarantee that messages arrive timely. Validation of in-vehicle communication is introduced to showcase the applicability of the technology. The overall goal of the work performed in this use case is to reduce the testing costs and time of farming scenarios, be less dependent on many factors (like crop availability) and be able to perform continuous validation and verification of the farming systems.
URI: http://hdl.handle.net/10553/73448
ISBN: 978-3-030-14627-6
DOI: 10.1007/978-3-030-14628-3_20
Fuente: Validation and Verification of Automated Systems / Leitner A., Watzenig D., Ibanez-Guzman J. (eds), p. 271-295, (Enero 2019)
Colección:Capítulo de libro
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