Biography
Dr. Condotta is an Assistant Professor at the University of Illinois. Her interdisciplinary research aims to reduce animal stress, improve animal well-being and environmental sustainability, and help farmers make better and more efficient management decisions by developing precision management systems for animals. She focuses on applying technologies, such as image and audio processing and machine learning algorithms, to acquire and analyze individual animals' electronic data, allowing continuous and automatic monitoring of their behavior, health, and well-being.
Additional Campus Affiliations
Assistant Professor, Animal Sciences
Assistant Professor, Agricultural and Biological Engineering
Assistant Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Recent Publications
Ferziger, S. S., Condotta, I. C. F. S., Brown-Brandl, T. M., Shi, Y., & Rohrer, G. A. (2023). Deep-learning-based behavioral time budgets for sows with high and low piglet mortality rates. In 2023 ASABE Annual International Meeting (2023 ASABE Annual International Meeting). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/aim.202300833
Xiong, Y., Condotta, I. C. F. S., Musgrave, J. A., Brown-Brandl, T. M., & Mulliniks, J. T. (2023). Estimating Body Weight and Body Condition Score of Mature Beef Cows using Depth Images. Translational Animal Science, 7(1), Article txad085. https://doi.org/10.1093/tas/txad085
Benicio, L. M., Miranda, K. O. S., Brown-Brandl, T. M., Condotta, I. C. F. S., & Xiong, Y. (2022). Obtaining broiler chickens’ weight through depth image. In D. Berckmans, M. Oczak, M. Iwersen, & K. Wagener (Eds.), Precision Livestock Farming 2022 - Papers Presented at the 10th European Conference on Precision Livestock Farming, ECPLF 2022 (pp. 151-158). (Precision Livestock Farming 2022 - Papers Presented at the 10th European Conference on Precision Livestock Farming, ECPLF 2022). Organising Committee of the 10th European Conference on Precision Livestock Farming (ECPLF), University of Veterinary Medicine Vienna.
Li, J., Green-Miller, A. R., Hu, X., Lucic, A., Mahesh Mohan, M. R., Dilger, R. N., Condotta, I. C. F. S., Aldridge, B., Hart, J. M., & Ahuja, N. (2022). Barriers to computer vision applications in pig production facilities. Computers and Electronics in Agriculture, 200, Article 107227. https://doi.org/10.1016/j.compag.2022.107227
Ramirez, B. C., Hayes, M. D., Condotta, I. C. F. S., & Leonard, S. M. (2022). Impact of housing environment and management on pre-/post-weaning piglet productivity. Journal of animal science, 100(6), Article skac142. https://doi.org/10.1093/jas/skac142