Center for Digital Agriculture
The newly published results of a five-year study on maize (or corn) demonstrate that autonomous ground robots can accurately and reliably capture this information.
Recent advances in Generative AI capabilities for natural language understanding and text generation are driving the creation of automated question-answering services for production agriculture. Ensuring.
This NCSA feature story showcasing the myriad ways in which CDA is harnessing and championing the power of AI in our collaborative efforts.
NSF awards $795,000 to a collaborative effort led by CDA affiliate Alex Lipka that investigate new theories on how genetics influence complex crop traits, such as yield or grain quality over four years.
We’re helping researchers, educators, farmers, and industries keep pace with the ways technology is transforming how we feed and support a growing global population.
We’re researching everything from the nature of the data itself—its collection, storage, transmission, and analysis—to how the data might be used to optimize areas from precision agriculture to food manufacturing to water use and treatment.