Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture
Remote sensing of plant traits and their environment facilitates non-invasive, high-throughput monitoring of the plant's physiological characteristics. Effective ingestion of these sensing data into a storage subsystem while georeferencing phenotyping setups is key to providing timely access to scientists and modelers. In this thesis, we propose a high-throughput distributed data ingestion framework with support for fine-grained georeferencing. The methodology includes a novel spatial indexing scheme, the nested hash grid, for fine-grained georeferencing of data while conserving memory footprints ...
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