Irrigation Educator GPT:
The Irrigation Educator GPT is now live — a smart assistant to help students, producers, and ag professionals make better irrigation decisions. 🌱💧
https://go.unl.edu/irrigationGPT
With the current push for more AI in agriculture from both industry and Washington DC, the Irrigation Educator GPT is based on credible sources (such as Irrigation Systems Management) and gives insightful answers in 58+ languages.
Journal Articles:
- Amori, P. N., Heeren, D. M., Shi, Y., Wilkening, E. J., Goncalves, I. Z, Balboa, G. R., Rudnick, D. R., Katimbo, A., & Ritzema, R. S. (2025). Scalable machine learning framework for adaptive irrigation management in commercial crop fields. Computers and Electronics in Agriculture 237: 110710. Available here.
- Wilkening, E. J., Heeren, D. M., Shi, Y., Puntel, L. A., Balboa, G. R., Katimbo, A., Zhang, K., Amori, P. N., & Lena, B. P. (2025). Development of a machine learning framework for an irrigation decision support system. Journal of Natural Resources and Agricultural Ecosystems (in press). Available here.
- Nsoh, B., Katimbo, A., Guo, H., Heeren, D. M., Nakabuye, H. N., Qiao, X., Ge, Y., Rudnick, D. R., Wanyama, J., Bwambale, E., & Kiraga, S. (2024). IoT-based automated solutions utilizing machine learning for smart and real-time irrigation management: A review. Sensors 24: 7480. https://doi.org/10.3390/s24237480
Promotional Video:
- Artificial Intelligence for Food Production. Available here.
Events:
- Potential think tank/workshop on the future of AI for teaching and capacity building in agriculture. Spring 2026. Lincoln, NE. Check back here for more information.