Department of Biological and Agricultural Engineering
College of Agriculture and Life Sciences, North Carolina State University
At the Artificial Intelligence and Robotics (AIR) Lab, we use AI, robotics, and innovative technologies to drive innovation in precision livestock farming and sustainable agriculture. We combine machine learning, automation, sensing technologies, and data-driven solutions to improve animal health, welfare, food quality, and environmental outcomes.
Our Research Interests:
Artificial intelligence (AI) and predictive analytics
Robotics, UGV, and UAV automation
Computer vision, sensors, and IoT technology
Animal behavior, welfare, food safety, and sustainability
Air quality, greenhouse gas emissions, and disease prevention
What We Work On:
Artificial intelligence and robotics
Computer vision and sensor technologies
Health monitoring for poultry, cattle, and swine
Real-time animal behavior and welfare monitoring
Automation in poultry and livestock research and processing
ML for precision feeding and breeding
Rapid, non-destructive food quality testing
We are excited to lead innovation at the intersection of livestock, technology, and sustainability. Thank you for visiting and welcome to the AIR Lab! If you are interested in joining our lab, please submit the google form: Google Form .
Principal Investigator (PI)
Ramesh Bahadur Bist, Ph.D.
Assistant Professor of Artificial Intelligence for Integrated Food and Animal Systems
Department of Biological and Agricultural Engineering, College of Agriculture and Life Sciences
Dr. Ramesh Bahadur Bist received his Ph.D. in Poultry Science from the University of Georgia in 2024 under the supervision of Dr. Lilong Chai. During his Ph.D., he worked extensively with AI tools and computer vision to detect, classify, and segment animal health, behavior, and welfare conditions in poultry. He also used a robotic dog to detect mortality in hens and locate floor eggs.
After his Ph.D., Dr. Bist joined the University of Arkansas in 2024 as a postdoctoral fellow, working on computer vision and robotics with Dr. Dongyi Wang. His work included developing auto-labeling and text-prompt-based behavior detection models, and applying hyperspectral and thermal sensors to detect meat defects and foreign materials. He contributed to an unmanned ground vehicle for autonomous navigation in poultry plants using SLAM.
At NC State, Dr. Bist leads a research program focused on machine learning, robotics, automation, and sensing for livestock farming. His goals include predicting livestock diseases, monitoring animal health, building affordable vehicles, creating mobile apps, and designing non-destructive food quality tests.
He has published in journals like Computers and Electronics in Agriculture, Poultry Science, and Journal of Environmental Management. Dr. Bist serves as a guest editor for special issues in Applied Sciences and AgriEngineering (MDPI) and reviews for journals including Nature Scientific Reports and Sensors.
[40]. Paneru B., Bist, R. B., Yang, X., Dhungana, A., Dahal, S., & Chai, L. Deep Learning Methods for Automatic Identification of Male and Female Chickens in a Cage-Free Flock. Animal. DOI.
[39]. Yang, X., Lu, G., Zhang, J., Paneru, B., Dhungana, A., Dahal, S., Bist, R. B., Subedi, & Chai, L. Tracking Poultry Drinking Behavior and Floor Eggs in Cage-Free Houses with Innovative Depth Anything Model. Applied Science. DOI.
[38]. Tian, Y., Kelso, L., Xiao, Y., Pallerla, C., Bist, R. B., Mahmoudi, S., Liu, Z., Xiong, H., Subbiah, J., Howell, T., Wang, D. Palm-size Wireless Piezoelectric Immune-biosensing System for Rapid E. coli O157:H7. Sensor International. DOI.
[37]. Yang, X., Bist, R. B., Subedi, S., Guo, Y., & Chai, L. The Application of Probiotics and Prebiotics in Poultry Production and Impacts on Environment: A Review. Encyclopedia. DOI.
[36]. Yang, X., Zhang, Z., Paneru, B., Lin, J., Bist, R. B., Lu, G., & Chai, L. Precision Monitoring of Dead Chickens and Floor Eggs with a Robotic Machine Vision Method. AgriEngineering, 7(2), 35. DOI.
2024
[35]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Advanced Deep Learning Methods for Multiple Behavior Classification of Cage-free Laying Hens. AgriEngineering. DOI.
[34]. 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. DOI.
[33]. Pallerla, C., Feng, Y., Owens, C. M., Bist, R. B., Mahmoudi, S., Sohrabipour, P., Davar, A., & Wang, D. Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awarded Chicken Woody Breast Classification and Hardness Regression. Artificial Intelligence in Agriculture. DOI.
[32]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. A Machine Vision System for Monitoring Wild Birds on Poultry Farms for Preventing Avian Influenza. AgriEngineering. DOI.
[31]. Mahmoudi, S., Davar, A., Sohrabipour, P., Bist, R. B., Tao, Y., & Wang, D. Leveraging Imitation Learning in Agricultural Robotics: A Comprehensive Survey and Comparative Analysis. Frontiers in Robotics and AI. DOI.
[30]. Saeidifar, S., Li, G., Chai, L., Bist, R. B., Rasheed, K. M., Lu, J., Banakar, A., & Liu, T. Zero-Shot Image Segmentation for Monitoring Thermal Conditions of Individual Cage-Free Laying Hens. Computers and Electronics in Agriculture. DOI.
[29]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Automatic Detection of Cage-free Hens Bumblefoot with Computer Vision Technologies. Poultry Science. DOI.
[28]. Bist, R. B., Bist, K., Poudel, S., Subedi, D., Yang, X., Paneru, P., Mani, S., Wang, D., & Chai, L. Sustainable Poultry Farming Practices: A Critical Review of Current Strategies and Future Prospects. Poultry Science. DOI.
[27]. Bist, R. B., Subedi, S., Chai, L., Ritz, C. W., Kim, W. K., & Yang, X. Electrostatic Particle Ionization for Suppressing Air Pollutants in Cage-Free Layer Facilities: Dust Suppressing for Cage-Free Hens. Poultry Science. DOI.
[26]. Bist, R. B., Yang, X., Subedi, S., & Chai, L. An Integrated Engineering Method for Improving Air Quality in Cage-Free Hen Houses. AgriEngineering. DOI.
[25]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Enhancing Dust Control for Cage-Free Hens with Electrostatic Particle Charging Systems at Varying Installation Heights and Operation Durations. AgriEngineering. DOI.
[24]. Yang, X., Bist, R. B., Paneru, B., Liu, T., Applegate, T., Ritz, C., Kim, W., & Regmi, P. Computer Vision-Based Cybernetics Systems for Promoting Modern Poultry Farming: A Critical Review. Computers and Electronics in Agriculture. DOI.
[23]. Yang, X., Bist, R. B., Paneru, B., & Chai, L. Monitoring Activity Index and Behaviors of Cage-Free Hens with Advanced Deep Learning Technologies. Poultry Science. DOI.
[22]. Yang, X., Haixing, D., Zihao, W., Bist, R. B., Subedi, S., Guoyu, L., Changying, L., Tianming, L., & Chai, L. An Innovative Segment Anything Model for Precision Poultry Monitoring. Computers and Electronics in Agriculture. DOI.
[21]. Yang, X., Bist, R. B., Paneru, B., & Chai, L. Deep Learning Methods for Tracking the Locomotion of Individual Chickens. Animal MDPI. DOI.
[20]. Paneru, B., Bist, R. B., Chai, L., & Yang, X. Tracking Perching Behavior of Cage-Free Laying Hens with Deep Learning Technologies. Poultry Science. DOI.
[19]. Paneru, B., Bist, R. B., Chai, L., & Yang, X. Tracking Dustbathing Behavior of Cage-Free Laying Hen with Machine Vision Technologies. Poultry Science. DOI.
2023
[18]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Illuminating solutions to reduce mislaid eggs in cage-free layers. AgriEngineering, 5(4), 2170-2183. DOI.
[17]. Bist, R. B., Regmi, P., Karcher, D., Guo, Y., Singh, A. K., Ritz, C. W., Kim, W. K., Jones, D., & Chai, L. Bedding Management for Suppressing Particulate Matter in Cage-Free Hen Houses. AgriEngineering. DOI.
[16]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Automatic Detection of Cage-free Dead Hens with Deep Learning Methods. AgriEngineering. DOI.
[15]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Mislaying Behavior Detection in Cage-Free Hen House with Deep Learning Technologies. Poultry Science. DOI.
[14]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Effective Strategies for Mitigating Feather Pecking and Cannibalism in Cage-Free W-36 Pullets. Poultry. DOI.
[13]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Temporal Variations of Air Quality in Cage-Free Experimental Pullet Houses. Poultry. DOI.
[12]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. A Novel Benchmark of YOLOv6 Object Detector for Piling Behavior Detection in Cage-Free Laying Hen Facilities. AgriEngineering. DOI.
[11]. Bist, R. B., Subedi, S., Chai, L., Regmi, P., Ritz, C. W., Kim, W. K., & Yang, X. Effects of Perching on Poultry Welfare and Production: A Review. Poultry, 2(2), 134-157. DOI.
[10]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Ammonia Emissions, Impacts, and Mitigation Strategies for Poultry Production: A Critical Review. Journal of Environmental Management, 328, 116919. DOI.
[9]. Bist, R. B., & Chai, L. Advanced Strategies for Mitigating Particulate Matter Generations in Poultry Houses. Applied Sciences. DOI.
[8]. Chai, L., Subedi, S., Bist, R. B., & Yang, X. Artificial Intelligence Technologies for Monitoring Poultry Pecking. Journal of the NACAA, 16(1). ISSN 2158-9459, 16-1. Link.
[7]. Guo, Y., Chai, L., Bist, R. B., Regmi, P., & Yi, D. Automatic Tracking of Lohmann Brown Hens on the Litter Floor of Cage-Free Houses with Deep Learning Methods. Poultry Science. DOI.
[6]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Tracking Pecking Behaviors and Damages of Cage-Free Laying Hens with Machine Vision Technologies. Computers and Electronics in Agriculture. DOI.
[5]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Tracking Floor Eggs with Machine Vision in Cage-Free Hen Houses. Poultry Science. DOI.
[4]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. A Computer Vision Based Automatic System for Egg Grading and Defect Detection. Animal. DOI.
[3]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. An Automatic Classifier for Monitoring Applied Behaviors of Cage–Free Laying Hens with Deep Learning. Engineering Applications of Artificial Intelligence. DOI.
[2]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. A Deep Learning Method for Monitoring Spatial Distribution of Cage-Free Hens. Artificial Intelligence in Agriculture. DOI.
2022
[1]. Yang, X., Chai, L., Bist, R. B., Subedi, S., & Wu, Z. A Deep Learning Model for Detecting Cage-Free Hens on the Litter Floor. Animals, 12(15), 1983. DOI.
Preprints
[4]. Bist, R. B., Chai, L., Weimer, S., Atungulu, H., Pennicott, C., Yang, X., Subedi, S., Pallerla, C., Tian, Y., Wang, D. (2025). Efficient Auto-Labeling of Large-Scale Poultry Datasets (ALPD) Using Semi-Supervised Models, Active Learning, and Prompt-then-Detect Approach. ArXiv. DOI.
[3]. Pallerla, C., Feng, Y., Owens, C. M., Bist, R. B., Mahmoudi, S., Sohrabipour, P., Davar, A., Wang, D. (2024). Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awarded Chicken Woody Breast Classification and Hardness Regression. ArXiv. DOI.
[2]. Tian, Y., Kelso, L., Xiao, Y., Pallerla, C., Bist, R. B., Mahmoudi, S., Liu, Z., Xiong, H., Subbiah, J., Howell, T., Wang, D. (2024). Palm-size Wireless Piezoelectric Immune-biosensing System for Rapid E. coli O157:H7. KeAi (SSRN). DOI.
[1]. Yang, X., Dai, H., Wu, Z., Bist, R. B., Subedi, S., Sun, J., & Chai, L. (2023). SAM for Poultry Science. ArXiv. DOI.
Proceedings
[10]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. (2024). Machine Learning Model for Detection, Segmentation, and Tracking of Individual Cage-free Laying Hens (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[9]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. (2024). Comparative Assessments of Cage-Free Pullet Age, Activities, and Impacts on Dust Concentration Using Accelerometer-Based Activity Sensor (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[8]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. (2024). Automatic Detection and Scoring of Footpad Dermatitis in Laying Hens Using Machine Learning Models (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[7]. Paneru, B., Bist, R. B., Yang, X., & Chai, L. (2024). Using Machine Learning Models to Detect Dustbathing Behavior of Cage-Free Laying Hens Automatically (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[6]. Paneru, B., Bist, R. B., Yang, X., & Chai, L. (2024). Detecting Perching Behavior of Cage-Free Laying Hens with Machine Vision Technologies (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[5]. Yang, X., Bist, R. B., Paneru, B., & Chai, L. (2024). Advanced Machine Learning Techniques for Monitoring Poultry Movement Patterns (Oral Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA. DOI.
[4]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. (2023). Effects of Artificial Dusk Lighting on Perching Behaviors of Cage-Free Laying Hens. In 2023 ASABE Annual International Meeting. DOI.
[3]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. (2023). Cage-Free Hens' Feather Pecking Management. In 2023 ASABE Annual International Meeting. DOI.
[2]. Bist, R. B., Chai, L., Yang, X., Subedi, S., & Guo, Y. (2022). Air Quality in Cage-Free Houses During Pullets Production. In 2022 ASABE Annual International Meeting. DOI.
[1]. Yang, X., Chai, L., Bist, R. B., Subedi, S., & Guo, Y. (2022). Variation of Litter Quality in Cage-Free Houses During Pullet Production. In 2022 ASABE Annual International Meeting. DOI.
Abstracts & Presentations
2025
[51]. Bist, R. B., Pallerla, C., Owens, C. M., Wang, D. Detection and classification of woody breast in poultry using backlighting and vision-based systems (Poster Presentation). ASABE 2025, Toronto, Canada.
[50]. Pallerla, C., Bist, R. B., Owens, C. M., Weimer, S., Wang, D. Enhancing foreign material detection in poultry processing plants using thermal imaging and vision-based systems (Oral Presentation). ASABE 2025, Toronto, Canada.
[49]. Tagoe, A., Bist, R. B., Koparan, C., Poncet, A., Wang, D., Johnson, D., Worthington, M. Preliminary Analysis of Computer Vision for Blackberry Flower Quantification (Oral Presentation). ASABE 2025, Toronto, Canada.
[48]. Bist, R. B., Chai, L., Weimer, S., Pennicott, C., Yang, X., Pallerla, C., Tian, Y., Wang, D. A Semi-Supervised Auto-Labeling Approach to Enhance Artificial Intelligence in Poultry Farming (Oral Presentation). IPSF/IPPE 2025, Atlanta, Georgia, USA.
[47]. Paneru, B., Bist, R. B., Chai, L., & Yang, X. Deep Learning Methods for Tracking Activities of Male Birds in Cage-Free Flock. IPSF/IPPE 2025, Atlanta, Georgia, USA.
[46]. Paneru, B., Yang, X., Bist, R. B., Dhungana, A., Dahal, S., & Chai, L. Monitoring Perching Behavior of Cage-Free Hens with Deep Learning. (Poster Presentation), US Precision Livestock Farming Conference 2025, Lincoln, Nebraska, USA.
[45]. Paneru, B., Yang, X., Bist, R. B., Dhungana, A., Dahal, S., & Chai, L. Monitoring Poultry Dustbathing with Deep Learning Technologies. (Poster Presentation), US Precision Livestock Farming Conference 2025, Lincoln, Nebraska, USA.
[44]. Yang, X., Paneru, B., Bist, R. B., Dhungana, A., Dahal, S., & Chai, L. Machine Vision for Monitoring Poultry Locomotion and Activity Index. (Oral Presentation), US Precision Livestock Farming Conference 2025, Lincoln, Nebraska, USA.
2024
[43]. Bist, R. B., Chai, L., Weimer, S., Pennicott, C., Yang, X., Mahmoudi, S., Pallerla, C., Feng, Y., Davar, A., Sohrabipour, P., Subbiah, J., Wang, D. Automatic Labeling of Large-Scale Poultry Image Datasets Using Inductive Semi-Supervised Auto-Labeling Models. (Poster Presentation). Annual Arkansas ASABE Meeting 2024, Fayetteville, AR.
[42]. Saeidifar, S., Li, G., Chai, L., Bist, R. B.. Zero-shot image segmentation for monitoring thermal conditions of individual laying hens. (Oral Presentation), IPSF/ IPPE 2024, Atlanta, GA, USA.
[41]. Saeidifar, S., Li, G., Chai, L., Bist, R. B., Rasheed, K. M., Lu, J., Yang, X. Zero-shot image segmentation for monitoring thermal conditions of individual cage-Free laying hens. (Poster Presentation), IPSF/ IPPE 2024, Atlanta, GA, USA.
[40]. Saeidifar, S., Li, G., Lu, J., Chai, L., Bist, R. B., 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, Istanbul, Turkey.
[39]. Saeidifar, S., Li, G., Lu, J., Chai, L., Bist, R. B., Yang, X. Automatic segmentation of birds using a combination of object detection and foundation image segmentation models. Institute of Biological Engineering 2024 Annual Conference, Atlanta, GA.
[38]. Feng, Y., Pallerla, C., Sohrabipour, P., Mahmoudi, S., Davar, A., Bist, R. B., & Wang, D. Synthetic Data Augmentation for Chicken Carcass Instance Segmentation with Mask R-CNN. (Poster Presentation). Annual Arkansas ASABE Meeting 2024, Fayetteville, AR.
[37]. Tian, Y., Pallerla, C., Kelso, L., Bist, R. B., Liu, Z., Zhou, C., Subbiah, J., Howell, T., & Wang, D. Palm-size wireless piezoelectric immune-sensor system for E. coli detection. (Poster Presentation). Annual Arkansas ASABE Meeting 2024, Fayetteville, AR.
[36]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. Automatic Detection and Scoring of Footpad Dermatitis in Laying Hens Using Machine Learning Models. (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
[35]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. Comparative Assessments of Cage-Free Pullet Age, Activities, and Impacts on Dust Concentration Using Accelerometer-Based Activity Sensor. (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
[34]. Bist, R. B., Paneru, B., Yang, X., & Chai, L. Automatic Detection and Scoring of Footpad Dermatitis in Laying Hens Using Machine Learning Models. (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
[33]. Bist, R. B., Subedi, S., Yang, X., Paneru, B., & Chai, L. Machine Learning Model for Detection, Segmentation, and Tracking of Individual Cage-Free Laying Hens. (Poster presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
[32]. Yang, X., Bist, R. B., Subedi, S., Paneru, B., & Chai, L. Deep learning algorithm for tracking individual chicken for locomotion analysis (Oral presentation), IPSF/ IPPE 2024, Atlanta, Georgia, USA.
[31]. Paneru, B., Bist, R. B., Yang, X., & Chai, L. Tracking dustbathing behavior of cage-free laying hen using machine vision technologies (Poster presentation), IPSF/ IPPE 2024, Atlanta, Georgia, USA.
[29]. Paneru, B., Bist, R. B., Yang, X., & Chai, L. Using Machine Learning Models to Detect Dustbathing Behavior of Cage-Free Laying Hens Automatically. (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
[28]. Paneru, B., Bist, R. B., Yang, X., & Chai, L. Detecting Perching Behavior of Cage-Free Laying Hens with Machine Vision Technologies. (Poster Presentation), ASABE Annual International Meeting 2024, Anaheim, CA, USA.
2023
[27]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Synergistic effect of electrostatic particle ionization and bedding management on particulate matter and ammonia reduction in cage-free hen houses. (Oral presentation), 2023 Poultry Science Association Annual Meeting, Philadelphia, PA, USA.
[26]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Detecting cage-free hens bumblefoot with deep learning models. (Poster presentation), 2023 Poultry Science Association Annual Meeting, Philadelphia, PA, USA.
[25]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Effects of artificial dusk lighting on perching behaviors of cage-free laying hens. (Poster presentation), ASABE Annual International Meeting 2023, Omaha, Nebraska, USA.
[24]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Poultry pecking management: a case study. (Poster presentation), ASABE Annual International Meeting 2023, Omaha, Nebraska, USA.
[23]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Monitoring Cage-free Laying Hens on Litter Floor with Machine Vision. (Oral Presentation), US Precision Livestock Farming Conference 2023, Knoxville, Tennessee, USA.
[22]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Early Detection of Bumblefoot in Poultry: A Novel Approach to Improve Welfare. (Poster), 2023 International Conference on Integrative Precision Agriculture, Athens, Georgia, USA.
[21]. Bist, R. B., Chai, L. Floor egg laying behavior detection in cage-free housing. (Oral Presentation), UGA Poultry Science scientific writing proposal presentation, Athens, Georgia, USA.
[20]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. An integrated engineering method for mitigating air pollutant emissions from cage-free hen houses. (Poster), UGA Cleantech Symposium, Athens, Georgia, USA.
[19]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Monitoring mislaying behaviors of cage-free hens with deep learning. (Oral Presentation), UGA Poultry Science Seminar, Athens, Georgia, USA.
[18]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Monitoring mislaying behaviors of cage-free hens with deep learning. (Poster), IPSF/IPPE, Atlanta, Georgia, USA.
[17]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Multiple Behavior Classification of Cage-Free Laying Hens Using Deep Learning. (Oral presentation), 2023 Poultry Science Association Annual Meeting, Philadelphia, PA, USA.
[16]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Floor Egg Detection with Machine Vision in Cage-Free Houses. (Oral Presentation), US Precision Livestock Farming Conference 2023, Knoxville, Tennessee, USA.
[15]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Multiple Behavior Classification of Cage-free Laying Hens using Deep Learning. (Poster), 2023 International Conference on Integrative Precision Agriculture, Athens, Georgia, USA.
[14]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Detecting Floor Eggs with Machine Vision Technologies. (Poster), IPSF/IPPE, Atlanta, Georgia, USA.
[13]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. A computer vision-based automatic system for egg grading and defect detection in cage-free facilities. (Oral presentation), 2023 Poultry Science Association Annual Meeting, Philadelphia, PA, USA.
[12]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. Monitoring cage-free laying hens on litter floor with machine vision. (Oral Presentation), US Precision Livestock Farming Conference 2023, Knoxville, Tennessee, USA.
[11]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. (Poster). A computer vision-based automatic system for egg grading and defect detection. 2023 International Conference on Integrative Precision Agriculture, Athens, Georgia, USA.
[10]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. Tracking cage-free laying hens on litter floor with machine vision. (Oral Presentation), IPSF/IPPE, Atlanta, Georgia, USA.
2022
[9]. Subedi, S., Bist, R. B., Yang, X., & Chai, L. Pecking Behavior and Damages Detection Using Machine Vision Technology (Oral Presentation), PSA Annual Meeting, San Antonio, Texas, USA.
[8]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. Monitoring Litter Quality in Cage-Free Facilities with W-36 Pullets (Poster), PSA Annual Meeting, San Antonio, Texas, USA.
[7]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. Tracking Cage-Free Laying Hens on Litter Floor with Machine Vision (Oral Presentation), UGA Graduate Research Forum, Athens, Georgia, USA.
[6]. Yang, X., Bist, R. B., Subedi, S., & Chai, L. A Deep Learning Model to Detect Cage-Free Laying Hens on the Litter Floor (Oral Presentation), PSA Annual Meeting, San Antonio, Texas, USA.
[5]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Preventing Feather Pecking and Cannibalism for W-36 Pullets in Cage-Free Houses (Poster), PSA Annual Meeting, San Antonio, Texas, USA.
[4]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Bedding Management for Suppressing Particulate Matter in the Cage-Free Layer House (Poster), UGA Graduate Research Forum, Athens, Georgia, USA.
[3]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Effects of Hy-Line W-36 Pullet Age on Air Pollutant Concentration in a Cage-Free Housing System (Oral Presentation), IPSF/IPPE, Atlanta, Georgia, USA.
[2]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Bedding Management for Suppressing Particulate Matter in Cage-Free Layer House (Oral Presentation), PSA Annual Meeting, San Antonio, Texas, USA.
[1]. Bist, R. B., Subedi, S., Chai, L., & Yang, X. Bedding Management for Suppressing Particulate Matter in the Cage-Free Layer House (Poster), ASABE Annual International Meeting, Houston, Texas, USA.
Patents
Details of our patents will be added here as they are granted.
This website will also showcases research contributions developed during my time at the University of Georgia and the University of Arkansas. In addition, we sincerely appreciate the generous support provided by our sponsors.
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Available Positions
We are not hiring for Spring 2026 or Fall 2026. We might hire M.S., PH.D., or PostDoc for Spring 2027 or Fall 2027.
We encourage highly motivated individuals to apply and join our innovative research team. If you are interested in joining our lab, please submit the google form: Google Form . We’ll begin reviewing applications in Summer 2026 for both the Spring 2027 and Fall 2027 semesters. Please don’t email your materials; instead, complete the Google Form to ensure your application is properly saved, reviewed, and not overlooked.
