Browsing by Keyword "Agriculture"
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Item The AFarCloud ECSEL Project(IEEE, 2019-10) Castillejo, Pedro; Curuklu, Baran; Fresco, Roberto; Johansen, Gorm; Bilbao-Arechabala, Sonia; Martinez-Rodriguez, Belen; Pomante, Luigi; Martinez-Ortega, Jose-Fernan; Santic, Marco; Konofaos, Nikos; Kitsos, Paris; Tecnalia Research & Innovation; BIGDATAFarming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate identification and proper quantification of pathogens affecting plant and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate FARming in the CLOUD) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real-time data mining techniques.Item Validation of automated farming(Springer International Publishing, 2019-01-01) Rooker, 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.; CCAMThis 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.