Cranos Williams
Professor
- Phone: 919-515-1923
- Email: cmwilli5@ncsu.edu
- Office: Engineering Building II (EB2) 2066
- Website: https://research.ece.ncsu.edu/enbisys/
Publications
- KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model
- Gordon, M., Akyol, T. Y., Amos, B., Andersen, S. U., & Williams, C. (2026, February 19), BioData Mining, Vol. 2. https://doi.org/10.1186/s13040-026-00527-3
- Data from: Deployment and analysis of instance segmentation algorithm for in-field yield estimation of sweet potatoes
- Nguyen, H., Gyurek, S., Mierop, R., Pecota, K., LaGamba, K., Boyette, M., … Kudenov, M. (2025), Open MIND, Vol. 10. https://doi.org/10.5061/dryad.wh70rxx0z
- Deployment and analysis of instance segmentation algorithm for in‐field yield estimation of sweet potatoes
- Nguyen, H. M., Gyurek, S., Mierop, R., Pecota, K. V., LaGamba, K., Boyette, M., … Kudenov, M. W. (2025), The Plant Phenome Journal, 8(1). https://doi.org/10.1002/ppj2.70026
- High‐throughput classification and quantification of skinning phenotype in sweet potatoes
- Bloom, Z. A., Larsen, J. C., Pena Martinez, E. E., Williams, C. M., Jones, D. S., & Kudenov, M. W. (2025), The Plant Phenome Journal, 8(1). https://doi.org/10.1002/ppj2.70023
- In-season yield forecasting using multitemporal remote sensing environmental observations and machine learning: Applications for sweetpotato in North Carolina, USA
- Carbajal, M., Jones, D., Williams, C., & Nelson, N. G. (2025, September 10), European Journal of Agronomy, Vol. 172. https://doi.org/10.1016/j.eja.2025.127818
- KeySDL: Sparse Dictionary Learning for Keystone Microbe Identification
- Gordon, M., Akyol, T. Y., Amos, B., Andersen, S. U., & Williams, C. (2025, August 11), BioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2025.08.07.669165
- Knowledge and Opportunities for Managing Plant-Parasitic Nematodes Using Decision Intelligence
- Roberts, D. L., Gorny, A., Jones, D. S., Kudenov, M. W., Pratt, L., Malcolm, N., & Williams, C. (2025), PhytoFrontiers™, 5(3), 275–282. https://doi.org/10.1094/PHYTOFR-09-24-0099-P
- No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level
- Weihs, B. J., Tang, Z., Roy, S., Tian, Z., Heuschele, D. J., Zhang, Z., … Xu, Z. (2025, August 5), Smart Agricultural Technology, Vol. 12. https://doi.org/10.1016/j.atech.2025.101278
- Spatiotemporal dynamics of NF-κB/Dorsal inhibitor IκBα/Cactus in Drosophila blastoderm embryos
- Schloop, A. E., Hiremath, S. V., Shaikh, R., Bhakta, A., Williams, C. M., Reeves, G. T., … Reeves, G. T. (2025, June 9), IScience, Vol. 28. https://doi.org/10.1016/j.isci.2025.112854
- 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, 108855. https://doi.org/10.1016/j.compag.2024.108855
