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Protection and privacy of data in cooperative agricultural processes : the challenges of the future

  • In agriculture, the growing usage of sensors, smart mobile machinery and information systems results in high volumes of data. The data differs in accuracy, frequency, volume, type and, most importantly, owner of the information. However, cooperative processes and big data analyses require access to comprehensive amounts of data for successful agricultural operation and reasoning. In some processes instructed contractors even gather data belonging to other owners and use it for machinery operation optimisation and accounting (e.g. yield in maize harvest). Today’s approach of data handling has a high potential to conflict with European and national regulations for data protection and privacy. This article presents a concept for continuous data protection and privacy in cooperative agricultural processes. The concept aims at ensuring data sovereignty for the owner while making as much data usable for process operation and big data research at the same time. Briefly explained, owners pick a collection of data and create usage licenses for other players. The licenses specify time-limited and / or position-bound access to the data collection. Privacy environments in soft- and / or hardware protect access rights on end user devices, data share hubs and machinery devices such as agricultural terminals. In addition to access right configurations, digital signatures prevent data manipulation when cooperative players capture data during processes. Socalled signature boxes represent certificated soft- or hardware components, which are located close at data sources (e.g. as hardware attached to sensors on mobile machinery) and bind the data captured with digital signatures.

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Author:Franz Kraatz, Frank Nordemann, Ralf Tönjes
Title (English):Protection and privacy of data in cooperative agricultural processes : the challenges of the future
Parent Title (English):International Conference on Agricultural Engineering (AgEng), CIGR-AgEng conference
Document Type:Conference Proceeding
Year of Completion:2016
Release Date:2018/05/29
Faculties:Fakultät IuI
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Review Status:Akzeptierte Fassung