- Peer-reviewed articles
- Conference papers/proceedings
- Conference abstracts
- Technical reports
- Thesis/Dissertation
# indicates the lab member as the first author; * indicates the corresponding author.
Peer-reviewed articles
| Authors | Title | Journal | Year | Publisher |
|---|---|---|---|---|
| Bodempudi, V.U.C.#, Li, G.*, Oladeinde, A., Rothrock, M.J., Aggrey, S.E., Liu, T., Kota, S.A.R., Yuan, G., Nalla, S.S.R. | Salmonella risk prediction in poultry farms via deep learning image classification models, cross-region validation, and edge computing | Computers and Electronics in Agriculture | 2026 | Elsevier |
| Mohammadialabadi, H.#, Li, G.*, Liu, T., Bodempudi, V.U.C., Oso, O., Saeidifar, M., Kota, S.A.R., Asali, E. and Mandiga, A. | Early prediction of broiler gait scores using spatiotemporal kinematic tracking and explainable machine learning features | Computers and Electronics in Agriculture | 2026 | Elsevier |
| Asali, E.#, Li, G.*, Liu, T., Chen, C., Saeidifar, M., Bodempudi, V.U.C., Oso, O.M., Mandiga, A., Kota, S.A.R. and Liu, T. | A novel three-dimensional deep learning approach for auditing gait scores of individual broiler chickens | Journal of Big Data | 2026 | Springer |
| Mandiga, A.#, Yoon, J. H., Kasireddy, B., Olukosi, O. A., Li, G.* | NutriCHAT: A Reasoning-Driven large language model agent with Expert-Designed tools for Knowledge-Grounded poultry nutrition Assistance | Computers and Electronics in Agriculture | 2026 | Elsevier |
| Li, G.*, Lei, T., Ji, B., & Banakar, A. | Generative Adversarial Networks for Precision Animal Management: A Review | Journal of the ASABE | 2026 | American Society of Agricultural and Biological Engineers |
| Li, H., Qi, Z., Ahmed, T., Zhang, S., He, S., Wang, Z. and Li, G. | Ultra-Wideband Radar-Based Sensing Poultry Litter Moisture Content Monitoring System | Animals | 2026 | MDPI |
| Gomes-Neto, J.C., Crook, A., Hestrin, R., Li, G., Liew, C.S., Rosa, G., Singh, K.D., Tuggle, C.K., Summers, K.L., Valdes, C., Fahlgren, N, and Clarke, J.*. | Challenges and Opportunities: Computational Biology and the Future of Agriculture | Bioinformatics Advances | 2026 | Oxford Academic |
| Asali, E.#, Li, G.*, Saeidifar, M., Liu, T., Oso, O.M., Mandiga, A., Bodempudi, V.U.C. and Kota, S.A.R. | Spatiotemporal video encoders and zero-shot segmentation for 3D action recognition and behavior analysis of broiler chickens associated with different welfare indicators and body | Computers and Electronics in Agriculture | 2026 | Elsevier |
| Ansarimovahed, A., Banakar, A.*, Li, G., & Javidan, S. M. | Separating Chickens’ Heads and Legs in Thermal Images via Object Detection and Machine Learning Models to Predict Avian Influenza and Newcastle Disease | Animals | 2025 | MDPI |
| Saeidifar, M.#, Li, G.*, Ramaswamy, L. M., Chen, C., & Asali, E. | . AnimalAI: An Open-Source Web Platform for Automated Animal Activity Index Calculation Using Interactive Deep Learning Segmentation | Animals | 2025 | MDPI |
| Kong, N.*, Liu, T., Li, G., Xi, L., Wang, S., & Shi, Y. | Attention-Guided Edge-Optimized Network for Real-Time Detection and Counting of Pre-Weaning Piglets in Farrowing Crates | Animals | 2025 | MDPI |
| Liu, Z., Peng, W., Wang, C., Li, G., Ji, B., Zhao, Y* | Automatic swine body measurements via two-dimensional imaging system and correlation analysis with conformation scoring | Smart Agriculture Technology | 2025 | Elsevier |
| Mandiga, A.#, Li, G.*, Liu, T., Parasuraman, R. N., Pidaparti, R. M., Bodempudi, V. U. C., and Aggrey, S. E. | Autonomous Navigation of a Quadruped Robot to Approach Floor Eggs and Path Optimization Analysis for Commercial Feasibility | Applied Engineering in Agriculture | 2025 | American Society of Agricultural and Biological Engineers |
| Li, G.*, Kota, S.A.R.#, Liu, T., Oso, O.M., Bodempudi V.U.C., Saeidifar, M., Asali, E., Mandiga, A., Lu, J., Yuan, G., and Banakar, A. | Enhancing Consistency and Efficiency of Tracking Multiple Individual Broilers in Group Settings | Smart Agricultural Technology | 2025 | Elsevier |
| Asali, E.#, Li, G.*, Chen, C., Olukosi, O.A., Oluseyifunmi, I., Abaunza. N.M., Liu, T., Saeidifar, M., Bodempudi, V.U.C, Mandiga, A., Kota, S.A.R., and Banakar, A. | Integration and evaluation of a low-cost intelligent system and its parameters for monitoring three-dimensional features | Computers and Electronics in Agriculture | 2025 | Elsevier |
| Ji, B.*, Li, G.*, Casey, D., Psota, E., Fitzgerald R., Gates, R. S., Banhazi, T., and Liu, Z. | Automated Swine Phenotypic Trait Measurement for Commercial Breeding Management via a Three-dimensional Scanning System | Applied Engineering in Agriculture | 2025 | American Society of Agricultural and Biological Engineers |
| Ansarimovahed, A., Banakar, A.*, Li, G. and Javidan, S.M. | Separating Chickens’ Heads and Legs in Thermal Images via Object Detection and Machine Learning Models to Predict Avian Influenza and Newcastle Disease | Animals | 2025 | MDPI |
| Bodempudi, V.U.#, Li, G.*, Mason, J.H., Wilson, J.L., Liu, T. and Rasheed, K.M. | Identifying Mating Events of Group-housed Broiler Breeders via Bio-inspired Deep Learning Models | Poultry Science | 2025 | Elsevier |
| Oso, O.M.#, Mejia-Abaunza, N., Bodempudi, V.U.C., Chen, X., Chen, C., Aggrey, S.E. and Li, G.* | Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning | Poultry Science | 2025 | Elsevier |
| Hosseini, S.A., Banakar, A.*, Minaei, S., Mehdizadeh, S.A., Torshizi, M.A.K. and Li, G.* | Determination of brown egg fertility by multi-directional visible/near-infrared spectroscopy and machine learning | Journal of Applied Poultry Research | 2025 | Elsevier |
| Oladeinde, A.*, Chung, T., Mou, C., Rothrock, M.J., Li, G., Adeli, A., Looft, T., Woyda, R., Abdo, Z., Lawrence, J.P. and Cudnik, D. | Broiler litter moisture and trace metals contribute to the persistence of Salmonella strains that harbor large plasmids carrying siderophores. | Applied and Environmental Microbiology | 2025 | American Society for Microbiology 1752 N St., NW, Washington, DC |
| Hui, X., Zhang, D., Wei, J., Ma, Y. and Li, G.* | Fine-tuning faster region-based convolution neural networks for detecting poultry feeding behavior | International Journal of Agricultural and Biological Engineering | 2025 | IJABE |
| Subedi, S., Bist, R.B., Yang, X., Li, G. and Chai, L.* | Advanced Deep Learning Methods for Multiple Behavior Classification of Cage-Free Laying Hens | AgriEngineering | 2025 | MDPI |
| Li, G.* | A survey of open-access datasets for computer vision in precision poultry farming Computer vision datasets for poultry | Poultry Science | 2025 | Elsevier |
| Ramirez, B.C.*, Li, G., Xiong, Y., Burns, R.T. and Gates, R.S. | Evaluating Draft EPA Swine Emission Models–Part II: Open-Source Manure Storage | Journal of the ASABE | 2025 | American Society of Agricultural and Biological Engineers |
| Ramirez, B.C.*, Li, G., Xiong, Y., Burns, R.T. and Gates, R.S. | Evaluating Draft EPA Swine Emission Models-Part I: Facilities | Journal of the ASABE | 2025 | American Society of Agricultural and Biological Engineers |
| Banakar, A.*; Sharafi, M.; Li, G.* | Relationship between reproductive indicators and sound structure in broiler breeder roosters | Applied Animal Behaviour Science | 2024 | Elsevier |
| Saeidifar, M.#; Li, G.*; Chai, L.; Bist, R.; Rasheed, K. M.; Lu, J.; Banakar, A.; Liu, T.; Yang, X. | Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens | Computers and Electronics in Agriculture | 2024 | Elsevier |
| Bist, R. B; Yang, X.; Subedi, S.; Bist, K.; Paneru, B.; Li, G.; Chai, L* | An automatic method for scoring poultry footpad dermatitis with deep learning and thermal imaging | Computers and Electronics in Agriculture | 2024 | Elsevier |
| Mandiga, A.#; Li, G.*; Wilson, J. L; Liu, T.; Bodempudi, V. U. C.; Mason, J. H. | Quantifying Nesting Behavior Metrics of Broiler Breeder Hens with Computationally Efficient Image Processing Algorithms and Big Data Analytics | AgriEngineering | 2024 | MDPI |
| Saeidifar, M.#; Li, G.*; Lu, J.; Chai, L.; Bist, R.; Yang, X. | Automatic Segmentation of Birds Using a Combination of Object Detection and Foundation Image Segmentation Models | International Journal of Advances in Electronics and Computer Science | 2024 | DOIONLINE |
| Merenda, V. R.; Bodempudi, V. U. C.; Pairis-Garcia, M. D.; Li, G.* | Development and validation of machine-learning models for monitoring individual behaviors in group-housed broiler chickens | Poultry Science | 2024 | Elsevier |
| Xiong, Y.*; Li, G.; Willard, N. C.; Ellis, M.; Gates, R. S. | Modeling neonatal piglet rectal temperature with thermography and machine learning | Journal of the ASABE | 2023 | ASABE |
| Li, G.*; Gates, R. S.; Meyer, M. M.; Bobeck, E. A. | Tracking and characterizing spatiotemporal and three-dimensional locomotive behaviors of individual broilers in the three-point gait-scoring system | Animals | 2023 | MDPI |
| Li, G.*; Chai, L. | AnimalAccML: An open-source graphical user interface for automated behavior analytics of individual animals using triaxial accelerometers and machine learning | Computers and Electronics in Agriculture | 2023 | Elsevier |
| Xiong, Y.*; Li, G.; Ramirez, B. C.; Burns, R. T.; Gates, R. S. | Evaluating draft EPA emissions models for laying hen facilities | Journal of the ASABE | 2023 | ASABE |
| Liu, T.; Li, G.*; Liu, Z.; Xi, L.; Ma, W.; Gao, X. | Characteristics of aerosols from swine farms: A review of the past two-decade progress | Environment International | 2023 | Elsevier |
| Sadeghi, M.; Banakar, A.*; Minaei, S.; Orooji, M.; Shoushtari, A.; Li, G.* | Early detection of avian diseases based on thermography and artificial intelligence | Animals | 2023 | MDPI |
| Li, G.*; Gates, R. S; Xiong, Y.; Ramirez, B. C; Burns, R. T. | Evaluating draft Environmental Protection Agency emissions models for broiler operations | Journal of Applied Poultry Research | 2023 | Elsevier |
| Li, G.*; Li, B.; Shi, Z.; Lu, G.; Chai, L.; Rasheed, K. M.; Regmi, P.; Banakar, A. | Interindividual distances and orientations of laying hens under 8 stocking densities measured by integrative deep learning techniques | Poultry Science | 2023 | Elsevier |
| Li, G.*; Gates, R. S.; Ramirez, B. C. | An On-Site Feces Image Classifier System for Chicken Health Assessment: A Proof of Concept | Applied Engineering in Agriculture | 2023 | ASABE |
| Dou, F*; Ye, J.; Yuan, G.; Lu, Q.; Niu, W.; Sun, H.; Guan, L.; Lu, G.; Mai, G.; Liu, N.; Lu, J.; Liu, Z.; Wu, Z.; Tan, C.; Xu, S.; Wang, X.; Li, G.; Chai, L.; Li, S.; Sun, J.; Sun, H.; Shao, Y.; Li, C.; Liu, T.; Song, W. | Towards artificial general intelligence (AGI) in the internet of things (IOT): Opportunities and challenges | arXiv | 2023 | Cornell University |
| Li, G.; Hui, X.; Zhao, Y.*; Zhai, W.; Purswell, J. L.; Porter, Z.; Poudel, S.; Jia, L.; Zhang, B.; Chesser, G. D.* | Effects of ground robot manipulation on hen floor egg reduction, production performance, stress response, bone quality, and behavior | Plos One | 2022 | Public Library of Science |
| Li, G.; Erickson, G. E.; Xiong, Y.* | Individual Beef Cattle Identification Using Muzzle Images and Deep Learning Techniques | Animals | 2022 | MDPI |
| Lei, T.; Li, G.; Luo, C.*; Zhang, L.; Liu, L.; Gates, R. S. | An informative planning-based multi-layer robot navigation system as applied in a poultry barn | Intelligence & Robotics | 2022 | OAE Publishing |
| Li, G.*; Chesser, G. D.*; Purswell, J. L.; Magee, C.; Gates, R. S.; Xiong, Y. | Design and development of a broiler mortality removal robot | Applied Engineering in Agriculture | 2022 | ASABE |
| Li, X.; Ye, Z.; Li, G.; Shen, P.; Zhu, S.*; Zhao, S.; Liu, D.; Zhang, J.; Shen, Z.; Gao, W. | Effects of intelligent carbon fiber heater on pig behavior, production performance, and energy consumption | Transactions of the ASABE | 2021 | ASABE |
| Li, G.; Zhao, Y.*; Porter, Z.; Purswell, J. L. | Automated measurement of broiler stretching behaviors under four stocking densities via faster region-based convolutional neural network | Animal | 2021 | Elsevier |
| Li, G.; Zhao, Y.*; Purswell, J. L.; Magee, C.; | Effects of feeder space on broiler feeding behaviors | Poultry Science | 2021 | Elsevier |
| Li, G.; Hui, X.; Chen, Z.; Chesser Jr, G. D.; Zhao, Y.* | Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors | Computers and electronics in agriculture | 2021 | Elsevier |
| Li, G.; Huang, Y.; Chen, Z.; Chesser Jr, G. D.*; Purswell, J. L.; Linhoss, J.; Zhao, Y.* | Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review | Sensors | 2021 | MDPI |
| Zhao, W.; Choi, C. Y.; Li, G.; Li, H.; Shi, Z.* | Pre-weaned dairy calf management practices, morbidity and mortality of bovine respiratory disease and diarrhea in China | Livestock Science | 2021 | Elsevier |
| Li, G.; Xiong, Y.; Du, Q.; Shi, Z.; Gates, R. S. | Classifying ingestive behavior of dairy cows via automatic sound recognition | Sensors | 2021 | MDPI |
| Li, G.; Chesser, G. D*; Huang, Y.; Zhao, Y.; Purswell, J. L. | Development and optimization of a deep-learning-based egg-collecting robot | Transactions of the ASABE | 2021 | ASABE |
| Li, G.; Xu, Y.; Zhao, Y.*; Du, Q.; Huang, Y. | Evaluating convolutional neural networks for cage-free floor egg detection | Sensors | 2020 | MDPI |
| Li, G.; Zhao, Y.*; Purswell, J. L.; Chesser Jr, G. D.; Lowe, J. W.; Wu, T-L | Effects of antibiotic-free diet and stocking density on male broilers reared to 35 days of age. Part 2: Feeding and drinking behaviours of broilers | Journal of Applied Poultry Research | 2020 | Elsevier |
| Li, G.; Ji, B.; Li, B.*; Shi, Z.; Zhao, Y.; Dou, Y.; Brocato, J.; | Assessment of layer pullet drinking behaviors under selectable light colors using convolutional neural network | Computers and electronics in agriculture | 2020 | Elsevier |
| Liu, T.; Hui, X.; Zhou, W.; Xiao, Y.; Tang, B.; Xiao, H.; Lv, J.; Xi, L.*; Li, G. | Dynamics of airborne bacterial community during biofiltration of gases from a swine house | Science of The Total Environment | 2020 | Elsevier |
| Zhao, W.; Wang, M.; Li, H.; Li, G.; Shi, Z.* | Field Test and Economic Analysis of Energy-Saving Renovation for an Old Nursery Pig Building in Beijing, China | Applied Engineering in Agriculture | 2020 | ASABE |
| Li, G.; Zhao, Y.*; Purswell, J. L.; Du, Q.; Chesser Jr, G. D.; Lowe, J. W. | Analysis of feeding and drinking behaviors of group-reared broilers via image processing | Computers and Electronics in Agriculture | 2020 | Elsevier |
| Yang, X.; Huo, X.; Li, G.; Purswell, J. L.; Tabler, G. T.; Chesser, G. D.; Magee, C. L.; Zhao, Y.* | Effects of elevated platform and robotic vehicle on broiler production, welfare, and housing environment | Transactions of the ASABE | 2020 | ASABE |
| Li, G.; Hui, X.; Lin, F.; Zhao, Y. | Developing and Evaluating Poultry Preening Behavior Detectors via Mask Region-Based Convolutional Neural Network | Animals | 2020 | MDPI |
| Li, G.; Li, B.*; Zhao, Y.; Shi, Z.; Liu, Y.; Zheng, W. | Layer pullet preferences for light colors of light-emitting diodes | Animal | 2019 | Cambridge University Press |
| Li, G.; Zhao, Y.; Hailey, R.; Zhang, N.; Liang, Y.; Purswell, J. L. | An ultra-high frequency radio frequency identification system for studying individual feeding and drinking behaviors of group-housed broilers | Animal | 2019 | Cambridge University Press |
| Li, G.; Li, B.*; Shi, Z.; Zhao, Y.; Tong, Q.; Liu, Y. | Diurnal rhythms of group-housed layer pullets with free choices between light and dim environments | Canadian Journal of Animal Science | 2019 | Canadian Science Publishing |
| Li, G.; Li, B.*; Shi, Z.; Zhao, Y.; Ma, H | Design and evaluation of a lighting preference test system for laying hens | Computers and Electronics in Agriculture | 2018 | Elsevier |
Conference papers/proceedings
| Authors | Title | Conference name | Date | Year | Location | Presentation style |
|---|---|---|---|---|---|---|
| Yang, C., Cheng, N., Zhang, C., Lu, L., Tan, Q., Li, S., Li, A., Tang, X., Huang, S., Wang, J. and Li, G. | Rethinking the Potential of Layer Freezing for DNN Training Efficiency | Great Lakes Symposium on VLSI | 06/22 | 2026 | Canandaigua, NY | Oral |
| Oso, O. M.#, Mohammadilalabadi, H., Li, G.*, Fuller, L. A. and Aggrey, S. E.* | Non-Invasive Digital Measures for Quantifying Coccidiosis Infection Severity in Poultry | The 12th European Conference on Precision Livestock Farming | 09/14 | 2026 | Valencia, Spain | Poster |
| Steen, S., Lei, T.*, Luo, C., Li, G. and Shao, S. | Fail-Safe Multi-Robot Awareness During GPS Outages Using CNN-Based LiDAR | IEEE 5th Cyber Awareness and Research Symposium 2025 ( CARS’25 ) | 10/27 | 2025 | Grand Forks, ND | Oral |
| Asali, E.#, Li, G.*, Liu, T., Saeidifar, M., Bodempudi, V. U. C., Kota, S. A. R., Oso, O. M., Mandiga, A., Yuan, G | Zero-Shot Perception and Spatiotemporal Transformers for Automated Gait and Footpad Score Classification | The 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE 2025, 16% acceptance rate) | 07/21 | 2025 | Las Vegas, USA | Oral |
| Mohammadilalabadi, H.#, Li, G.*, Liu, T., Chen, C., Saeidifar, M., Bodempudi, V. U. C., Kota, S. A. R., Asali, E., Oso, O. M., Mandiga, A. | Predicting gait scores of individual broilers in later phases of production based on spatial and temporal kinematic features in early stages | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Asali, E.#, Li, G.*, Liu, T., Chen, C., Saeidifar, M., Bodempudi, V. U. C., Kota, S. A. R., Oso, O. M., Mandiga, A. | A Novel Three-dimensional Deep Learning Approach for Auditing Gait Scores of Individual Broiler Chickens | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Bodempudi, V. U. C.#, Li, G *, Liu, T., Asali, E., Mandiga, A., Saeidifar, M., Kota, S. A. R., Oso, O. M., Nalla, S. S. R | Weight Prediction of Broiler Chickens Using a Deep Leaning Framework | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Oso, O. M.#, Li, G.*, Chen, C., Bodempudi, V. U. C.#, Liu, T., Asali, E., Mandiga, A., Saeidifar, M., Kota, S. A. R., Abaunza, N.M., Fudge, C., Kim, W. K., Regmi, P., Wilson, J.L., Chai, L. | Multifactorial Analysis of Broiler Welfare Indicators Correlated with Individual Body Weight, Litter Moisture Content, Diet, and Litter Type. | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Saeidifar, M.#, Li, G.*, Ramaswamy, L. M., Chen, C., Liu, T., Asali, E., Bodempudi, V. U. C. | A User-Friendly Deep Learning-based Platform for Monitoring Animal Activity Index. | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Mandiga, A#, Li, G.*, Liu, T., Bodempudi, V. U. C., Parasuraman, R. N., Pidaparti, R. M. | Visual-assisted Autonomous Path Planning and Navigation for a Legged Robot Roaming in Cage-free hen houses. | The 3rd US Precision Livestock Farming Conference | 06/02 | 2025 | Lincoln, NE, USA | Oral (Travel award) |
| Saeidifar, M.#; Li, G.*; Lu, J.; Chai, L.; Bist, R.; Yang, X. | Automatic Segmentation of Birds Using a Combination of Object Detection and Foundation Image Segmentation Models | International Conference on Artificial Intelligence, Machine Learning, and Big Data Engineering | 06/30 | 2024 | Istanbul, Turkey | Oral |
| Bodempudi, V. U. C.#; Li, G.*; Aggrey, S. E.; Oladeinde, A. | Development of a Mobile Broiler Salmonella Diagnosis System | International Symposium on Animal Environment and Welfare | 10/23 | 2023 | Chongqing, China | Oral |
| Li, G.*; Gates, R.S.; Meyer, M.; Bobeck, E. | Characterizing Spatiotemporal and Three-dimensional Locomotive Behaviors of Individual Broilers for the Three-point Gait Scoring System | The Second U.S. Precision Livestock Farming Conference | 05/21 | 2023 | Knoxville, Tennessee | Oral |
| Li, G.; Mulliniks, T.; Gates, R.S.; Xiong, Y.* | Estimating Body Traits of Individual Beef Heifers using Point-Cloud Reconstruction | The Second U.S. Precision Livestock Farming Conference | 05/21 | 2023 | Knoxville, Tennessee | Oral |
| Muvva, V.V.R.M.K.; Li, G.; Wolf, M.* | Autonomous UAV landing on a moving UAV using machine learning | AIAA SCITECH 2022 Forum | 01/03 | 2022 | San Diego, CA & Virtual | Oral |
| Li, G.; Xu, Y.; Zhao, Y.*; Du, Q. | Evaluating convolutional neural networks for cage-free floor egg detection | International Symposium on Animal Environment and Welfare | 10/21 | 2019 | Chongqing, China | Oral (Presentation award) |
| Li, G.; Zhao, Y.*; Chesser, D.; Lowe, J.W.; Purswell, J.L. | Image processing for analyzing broiler feeding and drinking behaviors | ASABE Annual International Meeting | 07/07 | 2019 | Boston, MA | Oral |
| Yang, X.; Huo, X.; Li, G.; Purswell, J.L.; Tabler, G.T.; Chesser, G.D.; Zhao, Y.* | Application of elevated perching platform and robotic vehicle in broiler production | ASABE Annual International Meeting | 07/07 | 2019 | Boston, MA | Oral |
| Li, G.; Zhao, Y.*; Hailey, R.; Zhang, N.; Liang, Y.; Purswell, J.L. | Radio-frequency identification (RFID) system for monitoring specific behaviors of group housed broilers | The Tenth International Livestock Environment Symposium (ILES X) | 09/25 | 2018 | Omaha, NE | Oral |
| Li, G.; Zhao, Y.*; Purswell, J.L.; Liang, Y.; Lowe, J.W. | Feeding behaviors of broilers at chicken-perceived vs. human-perceived light intensities under two light spectrums | ASABE Annual International Meeting | 07/29 | 2018 | Detroit, MI | Oral |
| Cao, Z.; Shi, Z. *; Li, G | Evaluation of the thermal insulation for dairy barns in cold regions via infrared thermography | International Symposium on Animal Environment and Welfare | 10/23 | 2017 | Chongqing, China | Oral |
Conference abstracts
| Authors | Title | Conference name | Date | Year | Location | Presentation type |
|---|---|---|---|---|---|---|
| Agyemang-Duah, E., Poku, R. A., Adenyo, C., Osei-Amponsah, R., Li, G.*, Holden, W. O., Rekaya, R., Aggrey, S. E.* | Spatiotemporal Behavioral Responses of Genetically Selected and Unselected Chickens to Similar Temperature-Humidity Indices | World’s Poultry Congress | 07/13 | 2026 | Toronto, Canada | Poster |
| Holden, W. O.#, Li, G.*, Agyemang-Duah, E., Poku, R. A., Adenyo, C., Osei-Amponsah, R., Aggrey, S. E.* | Spatiotemporal Video Encoder Integrated with Metadata Fusion for Action Recognition and Behavior Analysis in Smartphone-captured Data | World’s Poultry Congress | 07/13 | 2026 | Toronto, Canada | Poster |
| Oso, O. M.#, Li, G*., Alves, A. A. C., Aggrey, S., Rasheed, K. | Automated Tracking of Individual Broilers in Group Settings | International Poultry Scientific Forum | 01/26 | 2026 | Atlanta, Georgia | Poster |
| Oso, O. M.#, Li, G.*, Chen, C., Regmi, P., Aggrey, S., Kim, W. | Quantitative and biological evidence for health-dependent space-use dynamics in broilers | International Poultry Scientific Forum | 01/26 | 2026 | Atlanta, Georgia | Oral |
| Mandiga, A.#, Li, G.*, Liu, T., Parasuraman, R. N., Pidaparti, R. M., Bodempudi, V. U. C., and Aggrey, S. E. | Path optimization and commercial feasibility of a quadruped robot for floor egg collection in cage-free facilities | International Poultry Scientific Forum | 01/26 | 2026 | Atlanta, Georgia | Oral |
| Holden, W. O.#, Li, G.*, Agyemang-Duah, E., Poku, R. A., Adenyo, C., Osei-Amponsah, R., Aggrey, S. E. | Automated Behavior Recognition and Welfare Assessment in Broiler Chickens Using Smartphone and Spatiotemporal Deep Learning Models | Artificial Intelligence in Livestock and Poultry Farming | 09/02 | 2025 | Athens, Georgia | Poster (First-place award) |
| Mohammadialabadi, H.#, Li, G.*, Liu, T., Bodempudi, V. U. C., Oso, O., Saeidifar, M., Kota, S. A. R., Asali, E., Mandiga, A. | Early Prediction of Broiler Gait Scores Using Spatiotemporal Kinematic Tracking and Explainable Machine Learning Features | Artificial Intelligence in Livestock and Poultry Farming | 09/02 | 2025 | Athens, Georgia | Poster |
| Oso, O. M.#, Li, G*. | Automated Tracking of Individual Broilers in Group Settings | Artificial Intelligence in Livestock and Poultry Farming | 09/02 | 2025 | Athens, Georgia | Poster |
| Li, G.*, Gates, R.S., Xiong, Y., Ramirez, B.C., and Burns, R.T. | Evaluating draft Environmental Protection Agency emissions models for broiler operations. | Poultry Science Association Annual Meeting | 07/14 | 2025 | Raleigh, North Carolina | Oral |
| Ansarimovahed, A., Banakar, A.*, Li, G.*, and Javidan, S. M. | Separating Chicken’s Head and Leg in Thermal Images via Object Detection and Machine Learning Models to Predict Avian Influenza and Newcastle Disease | Poultry Science Association Annual Meeting | 07/14 | 2025 | Raleigh, North Carolina | Oral |
| Hosseini, S. A., Banakar, A.*, Minaei, S., Mehdizadeh, S. A., Torshizi, M. A. K., Li, G.* | Determination of brown egg fertility by multi-directional visible/near-infrared spectroscopy and machine learning. | Poultry Science Association Annual Meeting | 07/14 | 2025 | Raleigh, North Carolina | Oral |
| Hu, A.#, Li, G., Gutbrod, E.M., and Edwards, C.R.* | Evaluation of a machine learning-based algorithmic pipeline for real-time onboard removal of glider self-noise from passive acoustic data | The 188th Meeting of the Acoustical Society of America joint with the 25th International Congress on Acoustics | 05/20 | 2025 | New Orleans, Louisiana, USA | Oral |
| Bessard-Lezin, N.#, Mandiga, A., Li, G.* | Automatic Sorting of Broken and Intact Eggs Using Tactile Sensors. | Center for Undergraduate Research Opportunities (CURO) Symposium | 04/07 | 2025 | Athens, Georgia, USA | Poster |
| Fekir, W.#, Mandiga, A., Li, G.* | Redesign of Robotic Arm End-Effectors for Safely Picking and Grabbing Floor Eggs | Center for Undergraduate Research Opportunities (CURO) Symposium | 04/07 | 2025 | Athens, Georgia, USA | Poster |
| Agashe, A.#, Asali, E., Li, G.* | Comparison of You Only Look Once Models for Identifying Broiler Chickens in Group Settings. | Center for Undergraduate Research Opportunities (CURO) Symposium | 04/07 | 2025 | Athens, Georgia, USA | Poster |
| Saeidifar, M.#, Li, G.*, Ramaswamy, L. M., Chen, C., and Asali, E. | AnimalAI: An Open-Source Web Platform for Automated Animal Activity Index Calculation Using Interactive Deep Learning Segmentation | Institute for Artificial Intelligence Research Day | 04/29 | 2025 | Athens, Georgia, USA | Poster |
| Hu, A.#, Li, G., Gutbrod, E.M., and Edwards, C.R.* | Evaluation of a machine learning-based algorithmic pipeline for real-time onboard removal of glider self-noise from passive acoustic data. | Institute for Artificial Intelligence Research Day | 04/29 | 2025 | Athens, Georgia, USA | Poster |
| Asali, E.#; Li, G. *; Liu, T.; Chen, C.; Saeidifar, M.; Bodempudi, V. U. C.; Kota, S. A. R.; Oso, O. M.; Miga, A. | A Novel Three-dimensional Deep Learning Approach for Auditing Gait Scores of Individual Broiler Chickens | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Bodempudi, V. U. C.#; Li, G. *; Liu, T.; Asali, E.; Miga, A.; Saeidifar, M.; Kota, S. A. R.; Oso, O. M.; Nalla, S. S. R. | Weight Prediction of Broiler Chickens Using a Deep Leaning Framework | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Oso, O. M.#; Li, G. *; Chen, C.; Bodempudi, V. U. C.; Liu, T.; Asali, E.; Miga, A.; Saeidifar, M.; Kota, S. A. R.; Abaunza, N.M.; Fudge, C.; Kim, W. K.; Regmi, P.; Wilson, J.L.; Chai, L. | Multifactorial Analysis of Broiler Welfare Indicators Correlated with Individual Body Weight, Litter Moisture Content, Diet, and Litter Type | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Saeidifar, M.#; Li, G.*; Ramaswamy, L. M.; Chen, C.; Liu, T.; Asali, E.; Bodempudi, V. U. C. | A User-Friendly Deep Learning-based Platform for Monitoring Animal Activity Index | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Saeidifar, M.#; Li, G.*; Chen, C.; Liu, T.; Asali, E.; Bodempudi, V. U. C. | Predicting Footpad Condition and Leg Health in Broiler Chickens Using Recurrent All Pairs Field Transforms for Optical Flow and Advanced Segmentation Models | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Poster |
| Miga, A#; Li, G*; Liu, T.; Bodempudi, V. U. C.; Parasuraman, R. N.; Pidaparti, R. M. | Visual-assisted Autonomous Path Planning and Navigation for a Legged Robot Roaming in Cage-free hen houses | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Kota, S. A. R.#; Li, G*; Liu, T.; Chen, C. | Enhanced Deep Learning Approaches for Reliable Tracking of Broilers in Dense Group Settings | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Mohammadilalabadi, H.#; Li, G. *; Liu, T.; Chen, C.; Saeidifar, M.; Bodempudi, V. U. C.; Kota, S. A. R.; Asali, E.; Oso, O. M.; Miga, A. | A Novel Three-dimensional Deep Learning Approach for Auditing Gait Scores of Individual Broiler Chickens | International Poultry Scientific Forum | 01/27 | 2025 | Atlanta, GA | Oral |
| Saeidifar, M.#; Li, G.*; Lu, J.; Chai, L.; Bist, R.; Yang, X. | Automatic Segmentation of Birds Using a Combination of Object Detection and Foundation Image Segmentation Models | Institute of Biological Engineering Annual Conference | 09/14 | 2024 | Atlanta, GA | Oral |
| Kota, S.A.R.#; Li, G.*; Chen, C. | Optimizing deep learning-based algorithms to track individual broilers in group settings | Institute of Biological Engineering Annual Conference | 09/14 | 2024 | Atlanta, GA | Oral |
| Oso, O.M.#; Mejia-Abaunza, N.; Chen, C.; Aggrey, S.E.; Li, G*. | Automatic Analysis of Group-level Activity of Broilers with Heat Stress Operations | ASABE Annual International Meeting | 07/29 | 2024 | Anaheim, California | Oral |
| Miga, A.#; Li, G.*; Liu, T.; Bodempudi V.U.C. | Controlling a Four-legged Robot to Approach Floor Eggs by Combing the Deep Learning Object Detection model and Three-dimensional Sensing | Poultry Science Association Annual Meeting | 07/15 | 2024 | Louisville, KY | Oral |
| Liu, T.; Li, G.*; Cheng, P.; Xi, L.; Ma, W.; Liu, Z. | Comparative Analysis of Fine Particulate Matters of a Commercial High-rise Layer Farm in Central China | Poultry Science Association Annual Meeting | 07/15 | 2024 | Louisville, KY | Poster |
| Asali, E.#; Li, G.*; Chen, C.; Olukosi, O.A.; Oluseyifunmi, I.; Mejia-Abaunza, N. | Development and Optimization of a Low-cost Intelligent Device to Monitor Three-dimensional Features of Poultry | Poultry Science Association Annual Meeting | 07/15 | 2024 | Louisville, KY | Oral |
| Bodempudi V.U.C.#; Li, G.*; Mason, J.H.; Wilson, J. L.; Liu, T.; Rasheed, K.M. | Development of Machine Learning Models for Identifying Mating Behavior in Group-housed Broiler Breeders | Poultry Science Association Annual Meeting | 07/15 | 2024 | Louisville, KY | Poster |
| Oso, O.M.#; Li, G*; Ariyo, O.W.; Oladeinde, A.; Aggrey, S.E. | Automated Detection of Early Salmonella Infection in Broiler Flock | Poultry Science Association Annual Meeting | 07/15 | 2024 | Louisville, KY | Oral |
| Saeidifar, M.#, Li, G.*, Chai, L., and Bist, R. | Zero-Shot Image Segmentation for Monitoring Thermal Conditions of Individual Laying Hens | Institute of Artificial Intelligence Research Day | 04/22 | 2024 | Athens, Georgia, USA | Poster (First-place award) |
| Miga. A.#; Li, G.*; Wilson, J. L.; Liu, T.; Bodempudi, V.U.C, Mason, J.H. | Quantifying nesting behavior metrics of broiler breeder hens with computer vision and big data analytics | AI in Agriculture and Natural Resources Conference | 04/15 | 2024 | College Station, Texas | Oral (Travel award) |
| Bodempudi, V. U. C.#; Li, G.*; Aggrey, S. E.; Oladeinde, A. | Development of a mobile broiler Salmonella diagnosis system | International Poultry Scientific Forum | 01/29 | 2024 | Atlanta, GA | Oral (Travel award) |
| Oso, O. M.#; Mejia-Abaunza, N.; Chen, C.; Aggrey, S. E.; Li, G.* | Automatic Analysis of Group-level Activity of Broilers with Heat Stress Operations | International Poultry Scientific Forum | 01/29 | 2024 | Atlanta, GA | Oral (Travel award) |
| Saeidifar, M.#; Li, G.*; Chai, L.; Bist, R. | Zero-Shot Image Segmentation for Monitoring Thermal Conditions of Individual Laying Hens | International Poultry Scientific Forum | 01/29 | 2024 | Atlanta, GA | Oral (Travle award) |
| Li, G.*; Gates, R.S.; Xiong, Y.; Ramirez, B.C.; Burns, R.T. | Evaluating Draft EPA Emissions Models for Broiler Operations | ASABE Annual International Meeting | 07/09 | 2023 | Omaha, NE | Oral |
| Li, G.*; Chai, L. | An open-source graphical user interface for automated behavior analysis of individual animals using triaxial accelerometers | ASABE Annual International Meeting | 07/09 | 2023 | Omaha, NE | Oral |
| Li, G.* Gates, R.S. | An on-site feces classifier system for poultry health assessment | The 30th Conference on Intelligent Systems for Molecular Biology | 07/10 | 2022 | Madison, WI | Poster (Travel award) |
| Li.; G.; Xiong, Y.*; Erickson, G. | Individual feedlot cattle identification using muzzle images and deep learning techniques | ASABE Annual International Meeting | 07/17 | 2022 | Houston, TX | Oral |
| Xiong, Y. *; Li, G.; Ramirez, B.C.; Gates, R.S. | Evaluating draft EPA emissions models for laying hen facilities | ASABE Annual International Meeting | 07/17 | 2022 | Houston, TX | Oral |
| Li, G.; Chesser, D.*; Huang, Y.; Zhao, Y.; Purswell, J.L. | Development and optimization of a deep-learning-based egg collecting robot | ASABE Annual International Meeting | 07/12 | 2021 | Virtual | Oral (Graduate research award) |
| Li, G.; Hui, X.; Zhao, Y. *; Zhai, W.; Purswell, J.L.; Porter, Z.; Poudel, S.; Jia, L.; Zhang, B. | Reducing floor eggs in cage-free hen housing systems using ground robots | ASABE Annual International Meeting | 07/12 | 2020 | Virtual and On-Demand | Oral |
| Li, G.; Zhao, Y.*; Porter, Z.; Purswell, J.L. | Convolutional neural network for analyzing broiler stretching behaviors | ASABE Annual International Meeting | 07/12 | 2020 | Virtual and On-Demand | Oral (Presentation award) |
| Li, G.; Zhao, Y.*; Purswell, J.; Chesser, D.; Lowe, J.W. | Effects of stocking density and antibiotic-free diet on feeding and drinking behaviors of broilers | International Poultry Scientific Forum | 02/11 | 2019 | Atlanta, GA | Oral |
Technical reports
| Authors | Title | Recipient | Date |
|---|---|---|---|
| Ramirez, B.C.; Li, G.; Gates, R.S.; Burns, R.T.; Xiong, Y. | Evaluating Draft EPA Emissions Models for Swine Facilities | National Pork Board | 12/2023 |
| Li, G.; Gates, R.S.; Ramirez, B.C.; Burns, R.T.; Xiong, Y. | Evaluating Draft EPA Emissions Models for Broiler Operations | US Poultry & Egg Association | 01/2023 |
| Gates, R.S.; Ramirez, B.C.; Li, G.; Xiong, Y. | Evaluating Draft EPA Emissions Models for Laying Hen Facilities | American Egg Board | 01/2022 |
| Zhao, Y.; Li, G.; Parajuli, P. | Diagnosis of the ventilation system in a case-free hen housing system | Cal-Maine Food Company | 10/2017 |
Thesis/Dissertation
| Author | Major advisor | Comittees | Title | Degree | Date | Institution | University |
|---|---|---|---|---|---|---|---|
| Holden, W. O. | Li, G. | Bhandarkar, S. M. Niu, W. Aggrey, S. E. | Artificial intelligence-driven behavioral recognition and spatiotemporal analytics of broiler chickens using smartphone-captured video associated with two genetic lines and three sessions | M.S. | 12/2025 | Institute for Artificial Intelligence | University of Georgia |
| Hu, A. | Edwards, C.; Li, G. | Lu, J.; Maier, F.W. | Evaluation of a deep learning-based algorithmic pipeline for real-time onboard removal of glider self-noise from passive acoustic data | M.S. | 12/2025 | Institute for Artificial Intelligence | University of Georgia |
| Saeidifar, M. | Li, G. | Lu, J.; Rasheed, K.M.; Chen, C. | Applying foundation segmentation algorithms to assess poultry phenotypes and welfare | M.S. | 07/2025 | Institute for Artificial Intelligence | University of Georgia |
| Asali, E. | Li, G.; Liu, T. | Yuan, G.; Niu, W. | Spatiotemporal multimodal representation learning for activity understanding and behavior monitoring | Ph.D. | 07/2025 | School of Computing | University of Georgia |
| Li, G. | Zhao, Y.; Chesser, D. | Purswell, J.L.; Du, Q.; To, F.S.D.; Linhoss, J. | Developing and applying precision animal farming tools for poultry behavior monitoring | Ph.D. | 04/2021 | Department of Agricultural and Biological Engineering | Mississippi State University |