Daniela Jones

Biological and Agricultural Engineering

Daniela Jones is a research assistant professor in the Biological and Agricultural Engineering Department at North Carolina State University and holds a Joint-faculty appointment with Idaho National Laboratory. At NC State, she is the Data Science Academy Director of Agricultural Analytics; Director of the Agricultural Data Science Certificate; Office of Research and Innovation Faculty Fellow; Graduate Faculty of the Operations Research Program; Faculty Fellow of the Center of Geospatial Analytics; Faculty Affiliate of the Southeast Climate Adaptation Science Center; and Faculty Affiliate of the Agricultural Biotechnology In Our Evolving Food, Energy, and Water Systems NSF Research Traineeship Program.

She interned at Idaho National Laboratory and collaborated with multidisciplinary teams at Oak Ridge National Laboratory through her work on biofuels and renewable energy. Before this role, she was a postdoctoral associate at Duke University, where she performed quantitative and qualitative research on student interventions and supported the programming of educational, career development workshops and community development events for underrepresented undergraduate and graduate students in the biosciences.

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Research Interests

Building on Jones’s operations research experience applied to the agricultural-based energy sector and her desire to promote environmentally friendly energy sources, she continues to develop mathematical models and solution algorithms to solve large-scale problems that arise in the areas of transportation, logistics, and renewable energy systems. She focuses on simulation and optimization of the entire supply chain (including, harvesting, pre-processing, storing, and delivering) for biomass as a feedstock for cost-effective production of fuels, products, and power.

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Biological and Agricultural EngineeringTexas A&M University2017
MSIEMaster of Science in Industrial EngineeringMississippi State University2012
BSIEBachelor of Science in Industrial EngineeringMississippi State University2009

Honors and Awards

Publications

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence
Ahmed, T., Wijewardane, N. K., Lu, Y., Jones, D. S., Kudenov, M., Williams, C., … Kamruzzaman, M. (2024), COMPUTERS AND ELECTRONICS IN AGRICULTURE, 220. https://doi.org/10.1016/j.compag.2024.108855
Characterizing value-added pellets obtained from blends of miscanthus, corn stover, and switchgrass
Hossain, T., Jones, D. S., Godfrey, E., Saloni, D., Sharara, M., & Hartley, D. S. (2024), RENEWABLE ENERGY, 227. https://doi.org/10.1016/j.renene.2024.120494
Decisiones Basadas en Datos para la Alimentación y la Energía
Jones, D. (2024, September 23). , . https://doi.org/10.52750/962836
Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes
Martinez, E. E. P., Kudenov, M., Nguyen, H., Jones, D. S., & Williams, C. (2024), SMART AGRICULTURAL TECHNOLOGY, 8. https://doi.org/10.1016/j.atech.2024.100469
Manure nutrient cycling in US animal agriculture basins-North Carolina case study
Huezo, L., Jones, D., Edwards, E., & Sharara, M. (2024, February 10), JOURNAL OF ENVIRONMENTAL QUALITY, Vol. 2. https://doi.org/10.1002/jeq2.20545
Nth-plant scenario for blended pellets of Miscanthus, Switchgrass, and Corn Stover using multi-modal transportation: Biorefineries and depots in the contiguous US
Hossain, T., Jones, D. S., Godfrey III, E., Saloni, D., Sharara, M., & Hartley, D. S. (2024), BIOMASS & BIOENERGY, 183. https://doi.org/10.1016/j.biombioe.2024.107162
Predicting sweetpotato traits using machine learning: Impact of environmental and agronomic factors on shape and size
Liu, H., Hunt, S., Yencho, G. C., Pecota, K. V., Mierop, R., Williams, C. M., & Jones, D. S. (2024), COMPUTERS AND ELECTRONICS IN AGRICULTURE, 225. https://doi.org/10.1016/j.compag.2024.109215
Cultivating PhD Aspirations during College
Jones, D. S., Gillette, D. D., Cooper, P. E., Salinas, R. Y., Hill, J. L., Black, S. J., … Canelas, D. A. (2022), CBE-LIFE SCIENCES EDUCATION, 21(2). https://doi.org/10.1187/cbe.20-06-0111
Data-Driven Decisions for Food and Energy
Jones, D. (2022, August). , . https://doi.org/10.52750/564142
Fostering Responsible Innovation through Stakeholder Engagement: Case Study of North Carolina Sweetpotato Stakeholders
Grieger, K., Zarate, S., Barnhill-Dilling, S. K., Hunt, S., Jones, D., & Kuzma, J. (2022), Sustainability, 14(4), 2274. https://doi.org/10.3390/su14042274

View all publications via NC State Libraries

Grants

  • Cultivating A Resilient Workforce By Integrating A Culturally Competent Community Of Scholarship & Data Science in Food & Agricultural Research
  • Improving the Speed of Peanut Grading at Peanut Buying Stations
  • DSFAS-AI: Agricultural DECision Intelligence moDEling System for huMan-AI collaboRative acTion Elicitation and impRovement (DECIDE-SMARTER)
  • A Framework to Enhance NC������������������s Natural Resources Through Sustainable Manure Nutrient Cycling and Export
  • Release No. 1 under BMA 255742
  • Improving Crop Productivity and Value Through Heterogeneous Data Integration, Analytics, and Decision Support Platforms
  • Uniform-Format Herbaceous Biomass Feedstock: Value-added Miscanthus
  • Full-Season sweetpotato data lifecycle analysis: stakeholders engagement, sensors, and yields.
  • Increasing the visibility of the interdisciplinary cutting-edge research performed by the students in the Agricultural & Biological (Ag&Bio) Logistics Laboratory
  • A Review of the State of Technology of Bioenergy Carbon Capture and Storage (BECCS)
Daniela Jones