Converting raw, uninformative data into high-quality data streams
We focus on researching, developing and demonstrating technologies and practices to convert raw, uninformative data from multiple sources and in diverse formats into high-quality data streams.
To do this, we use novel methods that enable the integration and analysis of data from a myriad of diverse equipment and software systems. The resulting data streams enable efficient, accurate data analytics and reporting via algorithms we are developing at CAST. These algorithms facilitate improved decision making for better management of soils and crops, and animals.