Department of Computer Science
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BioWRAP - Bioplastics with Regenerative Agricultural Properties
The BioWRAP project's primary aim is to reduce the use of plastics, herbicides and associated environmental impacts in agricultural production by creating an all-in-one bioplastic system that can better manage weeds, nutrients, soils, and water resources.
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Know Where Graph
The KnowWhereGraph ("KWG"), an enabling application for various domains, is empowered by the convergence of Linked Data with environmental intelligence in the form of geo-enrichment or area briefings. Here we outline three main pilots that serve as horizontal testbeds. (1) Together with humanitarian relief organization Direct Relief, we focus on bridging the time-sensitive gap between identifying a potential disaster and finding experts on the ground. (2) With the agriculture and food industry, we focus broadly on food supply chain resilience, and (3) agricultural credit.
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Modular Ontology Modeling for Food Supply Chains
In this project, we develop a core modular ontology, by drawing from available sources such as design patterns and related existing ontologies, for integrating the heterogenous data relevant to food supply chain tracing. Where appropriate, ontology modules are general enough to be applicable to food supply chains tracing in general. More specific modules are developed for specific subproblems, e.g. for the grain sector. Existing relevant ontologies or partial ontologies will be modularized and aligned with the modular ontology modeling approach. New modules will be developed as appropriate. The resulting modular ontology will be delivered to the public domain.