Data and analytics
Agri-food and health informatics is essential for understanding the complexity of the data that technology is delivering. The ability to utilize that data for design, and for identifying risks, resilience, and potential failures is a rich opportunity for design.
With the capacity for evaluating data, decision processes and creating strategic efficiencies in labor, production, processing, distribution become more rapid and better grounded. Artificial Intelligence and Machine Learning are the basis of such innovations.
Platform overview
The increased expectation for sharing data sets from federally funded projects means larger and more data resources are available, reducing the requirement for original field work for every research question, and leading to more applied research studies on evaluation and decisions and rapid guidance for stakeholders.
affiliate faculty within the DATA ANALYTICS platform
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Ford Ramsey , bioinsurance | crop modeling | production economics | bayesian statistics
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Joseph Oakes , biodrones | imagery | sensors | phenotyping | precision agriculture
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Saied Mostaghimi , bioenvironmental assessment and remediation | precision agriculture | systems modeling | water quality
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Michael Schwarz , bioprecision farming | food and agriculture systems | aquaculture | aquaponics | hydroponics | water quality
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Kang Xia , bioenvironmental chemistry | analytical chemistry | organic compounds | environmental occurrence, fate, and impact | soil quality | water quality | machine learning | wastewater treatment | biosolids | animal manure
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Kim Niewolny , biosustainability | food systems | human-centered decision | community-based participatory research
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stories of impact
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Meet the platform leader
ford ramsey
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Ford Ramsey , bio
insurance | crop modeling | production economics | bayesian statistics
Ford Ramsey's research is focused on agricultural economics, structural change in agriculture, and applied econometrics. He is particularly interested in the development and application of statistical methods for evaluating relationships between agricultural yields and prices across time and space.
“Data analytics is at the heart of our work in agriculture and the life sciences as well as the Center for Advanced Innovation in Agriculture. Improved data collection and methods allow for technologies that improve agricultural profitability and sustainability.”
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