La ingeniera biológica y agrícola Daniela Sofia Jones analiza cómo ella y sus colegas utilizan el análisis de datos y el creciente potencial del análisis de datos para ayudar a resolver los desafíos agrícolas.
You might not realize sweet potatoes come in all sorts of cool shapes and sizes. So why when you go to the grocery store, do they look all alike? Did you know how much power there is in corn? Computer programming, food and farmers actually have a lot in common. Daniela Sofia Jones, Ph.D., shares how agriculture data analytics is our best path to more efficient, sustainable, and resilient farms, the farms of the future.
Daniela Sofia Jones, Ph.D., is an assistant professor in the Department of Biological and Agricultural Engineering (BAE) and the Data Science Academy Director of Agricultural Analytics at NC State University. She also holds a joint appointment with the Operations Research and Analysis team at Idaho National Laboratory. She earned her Ph.D. in biological and agricultural engineering from Texas A&M University and her master’s and bachelor’s in industrial engineering with a minor in mathematics from Mississippi State University. At NC State, she runs the Intelligent Data for Energy and Agriculture Logistics and Supply Chain (IDEALS) Lab. She uses data science and operations research to improve our food, feed, and energy production systems. Learn more on Dr. Jones' profile page.
Decisiones basadas en datos para la alimentación y la energía
Este video se produjo originalmente para una audiencia de estudiantes de primer año y de transferencia en la Universidad Estatal de Carolina del Norte como parte de una experiencia interdisciplinaria. Está disponible para reutilización no comercial bajo una licencia Creative Commons Attribution Noncommercial 4.0, https://creativecommons.org/licenses/by-nc/4.0/.
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