Validation of automated farming

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dc.contributor.authorRooker, M.
dc.contributor.authorLópez, J. F.
dc.contributor.authorHorstrand, P.
dc.contributor.authorPusenius, M.
dc.contributor.authorLeppälampi, T.
dc.contributor.authorLattarulo, R.
dc.contributor.authorPérez, J.
dc.contributor.authorSlavik, Z.
dc.contributor.authorSáez, S.
dc.contributor.authorAndreu, L.
dc.contributor.authorRuiz, A.
dc.contributor.authorPereira, D.
dc.contributor.authorZhao, L.
dc.contributor.institutionCCAM
dc.date.accessioned2024-07-24T11:48:11Z
dc.date.available2024-07-24T11:48:11Z
dc.date.issued2019-01-01
dc.descriptionPublisher Copyright: © Springer Nature Switzerland AG 2020.
dc.description.abstractThis 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.en
dc.description.statusPeer reviewed
dc.format.extent25
dc.identifier.citationRooker , M , López , J F , Horstrand , P , Pusenius , M , Leppälampi , T , Lattarulo , R , Pérez , J , Slavik , Z , Sáez , S , Andreu , L , Ruiz , A , Pereira , D & Zhao , L 2019 , Validation of automated farming . in Validation and Verification of Automated Systems : Results of the ENABLE-S3 Project . Springer International Publishing , pp. 271-295 . https://doi.org/10.1007/978-3-030-14628-3_20
dc.identifier.doi10.1007/978-3-030-14628-3_20
dc.identifier.isbn9783030146276
dc.identifier.isbn9783030146283
dc.identifier.urihttps://hdl.handle.net/11556/1741
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85085830146&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofValidation and Verification of Automated Systems
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAgriculture
dc.subject.keywordsCo-simulation
dc.subject.keywordsCommunication
dc.subject.keywordsENABLE s3
dc.subject.keywordsFarming
dc.subject.keywordsHyperspectral
dc.subject.keywordsModel-based simulation
dc.subject.keywordsSensors
dc.subject.keywordsTiming behavior
dc.subject.keywordsTrajectory planning
dc.subject.keywordsValidation
dc.subject.keywordsVerification
dc.subject.keywordsGeneral Engineering
dc.subject.keywordsSDG 2 - Zero Hunger
dc.titleValidation of automated farmingen
dc.typebook part
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