Overview

Recent advances in Unoccupied Aerial Systems (UAS) and sensor technology are now making it possible to accurately assess overall crop health status with fine spatial and high temporal resolutions at a relatively low cost. When UAS is appropriately equipped with sensors, these platforms enable fast and accurate data collection throughout the growing season. For these reasons, the UAS-based High Throughput Phenotyping (HTP) system is becoming a standard tool in plant science research as it can provide more consistent phenotypic measures and seamless coverage of the whole experimental field.

As plant scientists increasingly gain access to tools for collecting big UAS HTP data, there is a growing need to generate biologically informative, quantitative phenotypic information from the collected geospatial data. The massive volume of geospatial data generated by the research scientists and the lack of software packages customized for processing these data make it challenging to develop transdisciplinary research collaboration around these data. This workshop aims to address the disengagement between big data and agricultural research scientists by providing training in an open-source online platform for big UAS HTP data management called Data to Science (D2S).

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This workshop is an outcome of funding from USDA-NIFA AG2PI and the Purdue Move Plant Science 2.0 Initiative.