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Mit einem systematischen Ansatz konnte basierend auf gering aufgelösten Daten (Bodenkarte, Höhenmodell, Landnutzungsklassifikation) das theoretische Expansionspotential für Ackerflächen in der Provinz Tjumen (Westsibirien, Russische Föderation) abgeschätzt werden. Die theoretisch mögliche Ausdehnung der Ackernutzung um 57% in den landwirtschaftlich relevanten Gebieten konnte allerdings nur zur Hälfte mit Groundtruthdaten in 3 Testareas (je 400 km²) validiert werden. Darüber hinaus waren 52% dieser positiven Validierungspunkte auf Ackerbrachen verortet, die derzeit nicht ökonomisch rentabel zu bewirtschaften sind. Insgesamt kann daher nur eine Expansion der Ackerflächen um 14,5% (? 1900 km² bzw. 1,1% der Gesamtfläche) als potentiell möglich angesehen werden.
Management of agricultural processes is often troubled by disconnections and data transfer failures. Limited cellular network coverage may prevent information exchange between mobile process participants.
The research projects KOMOBAR and ISOCom designed, implemented und field-tested a delay tolerant platform for robust communication in rural areas and challenging environments. An adaptable combination of infrastructure-based cellular networks and infrastructure-free multihop ad hoc communication (WLAN) leads to a variety of new communication opportunities. Temporal storage and forwarding of data on mobile farm machinery as well as dynamic platform configurations during process runtime strongly enhance reliability and robustness of data transfers.
Restricted Versus Unrestricted Search Space : Experience from Mining a Large Japanese Database
(2015)
The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were further analyzed by using k-means clustering with age, long-term blood sugar and cholesterol values. The association analysis led to a multitude of trivial rules. Cluster analysis detected clusters of well and badly managed diabetes patients both belonging to different age groups. The study suggests the usage of cluster analysis on a restricted space to come to meaningful results.