Sweet-APPS Publications

4. Kudenov, M. W., Altaqui, A., & Williams, C. (2022). Practical spectral photography II: snapshot spectral imaging using linear retarders and microgrid polarization cameras. Optics Express, 30(8), 12337-12352. Link

3. Grieger, K., Zarate, S., Barnhill-Dilling, K., Hunt, R. S. a, Jones, D., Kuzma, J. (2022). Fostering Responsible Innovation through Stakeholder Engagement: Case Study of North Carolina Sweetpotato Stakeholders. Sustainability  2022, 14(4), 2274. Link

2. Kudenov, M. W., Scarboro, C. G., Altaqui, A., Boyette, M., Yencho, G. C., & Williams, C. M. (2021). Internal defect scanning of sweetpotatoes using interactance spectroscopy. Plos one, 16(2). Link 

1. Haque, S., Lobaton, E., Nelson, N., Yencho, G. C., Pecota, K. V., Mierop, R., Kudenov, M. W., Boyette, M. & Williams, C. M. (2020). Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. bioRxiv. Link.

1. Y., Roberts, D. L., Malcolm, N. E., Fisher, B., Barnhill-Darling, K., Jones, D. S., Kudenov, M. (2024). How Decision Intelligence Integrates Forecasting, AI, and Data into Complex Decisions. Foresight: The International Journal of Applied Forecasting, (72), 52-57. 

4. Liu, H., Hunt, R. S., Yencho, C., Pecota, K., Mierop, R., Williams, C., Jones, D. S. (2024). Predicting Crop Shape-Related Features using Agricultural Inputs.  Submitted to Computers and Electronics in Agriculture on Jan 12th, 2024.

3. Ahmed, M. T., Wijewardane, N. K., Lu, Y., Jones, D. S., Kudenov, M, Williams, C, Villordon, A., Kamruzzaman, M. (2023). Advancing Sweetpotato Quality Assessment with Hyperspectral Imaging and Explainable Artificial Intelligence. Submitted to Computers and Electronics in Agriculture on Jan 4th, 2024. 

2. Pena Martinez, E., Kudenov, M., Nguyen, H., Jones, D. S., Williams, C. (2023). Evaluating two high-throughput phenotyping platforms at different stages of the post-harvest pipeline of sweetpotatoes. Submitted to Smart Agricultural Technology on Oct 12th, 2023.

1.- Nguyen, H. M., Gyurek, S., Mierop, R., Pecota, K., LaGamba, K., Boyette, M., Yencho, C., Williams, C. M., Kudenov, M. W (2023). Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes. Submitted to Computers and Electronics in Agriculture. Link

4. Hunt, R. S., Jones, D. S., Holland, J., Gottula, J. (2024). Environmental Parameterizations for Predictive Agriculture. Manuscript in preparation. 85% complete.

3. Carbajal, M., Jones, D. S., Williams, C., Nelson, N. (2024). Multitemporal Remote Sensing and Environmental Data for In-season Sweetpotato Yield Forecasting. Manuscript in preparation. 85% complete.

2. McDowell, S., Jones, D. S., Hunt, R. S., Carpenter, S., Nguyen, H., Kudenov, M. (2024). Using Computer Vision to Assess Root Development and Crop Yield Estimates. Manuscript in preparation. 80% complete.

1. McDowell, S., Jones, D. S., Hunt, R. S., Saia, S. (2024). Determining Optimal Distance for Representative Weather Station Data. Manuscript in preparation. 15% complete.

- 2 presentations at the 2022 American Society of Agricultural and Biological Engineers Annual International Meeting on July 17-20th, 2022 in Houston, TX: Shelly Hunt, Shana McDowell

- 7 presentations at the 2022 National Sweetpotato Collaborators Group Meeting in New Orleans, LA on February 11-12th, 2022: Daniela Jones, Shelly Hunt, Hoang Nguyen, Enrique Pena, Hangjin Liu, Shana McDowell, Mariella Carbajal Carrasco. 

- 1 presentation at the 31st Annual Spring Undergraduate Research & Creativity Symposium in Raleigh, NC on May Lily Averette. 

- 2 presentations at the AI in Agriculture Conference in Auburn, AL on XX, 2022: Cramps Williams and Shelly Hunt

- 2 presentations at the research collaborators meeting at Idaho National Laboratory in Idaho Falls, ID on May 25th, 2022: Shelly Hunt, Shana McDowell.