Sweet-APPS Publications

7. RS Hunt*, H Liu*, C Yencho, K Pecotta, R Mierop, C Williams, DS Jonesb. (2024). Predicting Sweetpotato Traits Using Machine Learning: Impact of Environmental and Agronomic Factors on Shape and Size. Computers and Electronics in Agriculture. Volume 225,109215. Link. (*co-first authors).

6. E Pena Martinez, M Kudenov, H Nguyen, DS Jones, C Williams. (2024). Evaluating two high-throughput phenotyping platforms at different stages of the post-harvest pipeline of sweetpotatoes. Smart Agricultural Technology, 100469. Link. 

5. MT Ahmed, NK Wijewardane, Y Lu, DS Jones, M Kudenov, C Williams, A Villordon, M Kamruzzaman. (2024). Advancing Sweetpotato Quality Assessment with Hyperspectral Imaging and Explainable Artificial Intelligence. Computers and Electronics in Agriculture. Volume 220, 108855. Link. 

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

3. K Grieger, S Zarate, K Barnhill-Dilling, SR Hunt, DS Jones, J Kuzma. (2022). Fostering Responsible Innovation through Stakeholder Engagement: Case Study of North Carolina Sweetpotato Stakeholders. Sustainability . 2022, 14(4), 2274. link. 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. L Pratt, D Roberts, N Malcolm, B Fisher, K Barnhill, DS Jones, M Kudenov. (2024). How Decision Intelligence Integrates Forecasting, AI, and Data into Complex Decisions. Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, (72), 52-57. Link.

1. M Carbajal, DS Jones, C Williams, N Nelson. (2024). In-season Sweetpotato Yield Forecasting using Multitemporal Remote Sensing Environmental Observations and Machine Learning. Submitted to European Journal of Agronomy, Special Issue on Machine Learning and Remote Sensing for Precision Agriculture on Jul 26, 2024. Preprint link.

2. DL Roberts, A Gorny, MW Kudenov, DS Jones, L Pratt, N Malcolm, C Williams. (2024). Knowledge and Opportunities for Managing Plant-parasitic Nematodes using Decision Intelligence. Submitted to PhytoFrontiers on Sep 16, 2024.

3. Z Bloom, J Larsen, EE Pena Martinez, CM Williams, DS Jones, MW Kudenov. (2024). High-Throughput Classification and Quantification of Skinning Phenotype in Sweetpotatoes. Submitted to Smart Agricultural Technology.

4. S McDowell, DS Jones, S Carpenter, RS Hunt, M Kudenov, C Williams. (2024). The Development of Machine Learning Models for the Assessment of In-season Sweetpotato Root Growth and Crop Yield Estimates. Submitted to Computers and Electronics in Agriculture.

5.- 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

Oral Presentations

21. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M, Williams, C. The Development of Machine Learning Models for Assessing In-season Sweetpotato Root Growth and Crop Yield Estimates. 2024 INFORMS Annual Meeting in the Multi-Objective Decision Support Systems for Coping with Deep Uncertainties session. Seattle, WA. Oct 2024.

20. E Pena, M Kudenov, C Williams, DS Jones, H Nguyen. Scaling up phenotyping research through industry partnerships in sweetpotato production. 2024 8th International Plant Phenotyping Symposium. Lincoln, NE. Oct 2024.

19. S McDowell. An Introduction to SAS Visual Analytics using Agricultural. North Carolina A&T University. Greensboro, NC. Feb 2024. 

18. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M, Williams, C. Using Computer Vision to Assess Root Development and Crop Yield Estimates. ASABE Annual International Meeting. Omaha, NE. Jul 2023. 

17. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M. Using Computer Vision to Assess Root Development and Crop Yield Estimates. Artificial Intelligence in Agriculture. Orlando, FL. Apr 2023.

16. S Carpenter, DS Jones, M Kudenov, C Williams. Sweetpotato Yield Predictions to aid Harvest Timing using High-Throughput Portable Scanner and Machine Learning. Artificial Intelligence in Agriculture. Orlando, FL. Apr 2023.

15. RS Hunt, DS Jones, J Holland, J Gottula. An Approach to Feature Engineering and Comparison of Machine Learning and Statistical Models for Crop Yield Prediction. Artificial Intelligence in Agriculture. Orlando, FL. Apr 2023.

14. E Pena Martineza, M Kudenov, H Nguyen, DS Jones, C Williams. Development and implementation of two high-throughput phenotype scanners in the post-harvest pipeline of sweetpotatoes (Ipomoea batatas). National Sweetpotato Collaborators Group Conference. Wilmington, NC. Jan 2023.

13. E Pena Martineza, M Kudenov, H Nguyen, DS Jones, C Williams. High-Throughput Imaging to track Sweetpotato values related to growing environment. Precision Agriculture Shcolarship by farms.com. Webinar. Oct 2022.

12. RS Hunt, DS Jones, J Holland, J Gottula. An Approach to Feature Engineering and Comparison of Machine Learning and Statistical Models for Crop Yield Prediction. ASABE Annual International Meeting. Houston, TX. Jul 2022. 

11. RS Hunt, H Liua, C Yencho, K Pecotta, R Mierop, C Williams, DS Jones. On-Farm Precision Agriculture and Big Data Management for Improving Sweetpotato Shape, Size, and Value. ASABE Annual International Meeting. Houston, TX. Jul 2022. 

10. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M. Using Computer Vision to Assess Root Development and Crop Yield Estimates. ASABE Annual International Meeting. Houston, TX. Jul 2022. 

9. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M. Using Computer Vision to Assess Root Development and Crop Yield Estimates. Research Collaboration Meeting at Idaho National Laboratory. Idaho Falls, ID. May 2022. 

8. RS Hunt, H Liua, C Yencho, K Pecotta, R Mierop, C Williams, DS Jones. Analyzing Big Data Generated During Sweetpotato Production. Research Collaboration Meeting at Idaho National Laboratory. Idaho Falls, ID. May 2022. 

7. H Nguyen, M Kudeniov, et al. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

6. M Carbajal-Carrasco, N Nelson, et al. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

5. H Liu, C Williams, et al. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

4. E Pena. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

3. DS Jones, K Grieger, M Kudenov, C Williams. Sweetpotato Analytics for Produce Provenance and Scanning. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

2. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M. Using Computer Vision to Assess Root Development and Crop Yield Estimates. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

1. RS Hunt, H Liua, C Yencho, K Pecotta, R Mierop, C Williams, DS Jones. Analyzing Big Data Generated During Sweetpotato Production. National Sweetpotato Collaborators Group Meeting. New Orleans, LA. Feb 2022. 

Poster Presentations

5. M Carbajal, DS Jones, C Williams, N Nelson. (2024). Evaluating Temporal and Stationary Environmental Predictors for In-Season Sweetpotato Yield Predictions at the County Scale. 2024 American Geophysical Union (AGU). Washington, DC. Dec 2024. 

4. S McDowell, DS Jones, RS Hunt, S Carpenter, Kudenov, M, Williams, C. The Development of Machine Learning Models for the Assessment of In-season Sweetpotato Root Growth and Crop Yield Estimates. Applied AI in Engineering & Computer Science Symposium. Raleigh, NC. Sep 2024. 

3. S McDowell, DS Jones, RS Hunt, S Carpenter, M Kudenov, C Williams. The Development of Machine Learning Models for the Assessment of In-season Sweetpotato Root Growth and Crop Yield Estimates. ASABE Annual International Meeting. Anaheim, CA. Jul 2024. 

2. S Carpenter, DS Jones. Evaluate the Nitrogen Efficiency for Wheat Production following Peanuts. 33rd NC Commodity Conference. Durham, NC. Jan 2023.

1. L Averette, DS Jones, S Hunt, S Carpenter, K Grieger, M Kudenov, C Williams. Precision Agriculture for Sweetpotato Analytics for Produce Provenance and Scanning (Sweet-APPS). 31st Annual Spring Undergraduate Research & Creativity Symposium. Raleigh, NC. May 2022

To be added:

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