Jaihuni, M. and Tabler, T., 2024. Pioneering Poultry Robotics: Exploring The Latest Innovations In The Market And Research Labs. Jaihuni, M., Gan, H., Tabler, T., Prado, M., Qi, H. and Zhao, Y., 2023. Broiler mobility assessment via a semi-supervised deep learning model and neo-deep sort algorithm. Animals, 13(17), p.2719. Nasiri, A., Amirivojdan, A., Zhao, Y. and Gan, H., 2023. Estimating the Feeding Time of Individual Broilers via Convolutional Neural Network and Image Processing. Animals, 13(15), p.2428. Mei, W., Yang, X., Zhao, Y., Wang, X., Dai, X. and Wang, K., 2023. Identification of aflatoxin-poisoned broilers based on accelerometer and machine learning. Biosystems Engineering, 227, pp.107-116. Yang, X., Zhao, Y., Gan, H., Hawkins, S., Eckelkamp, L., Prado, M., Burns, R., Purswell, J. and Tabler, T., 2023. Modeling gait score of broiler chicken via production and behavioral data. animal, 17(1), p.100692. Zhao, Y. and Yang, X., 2022. Smart Poultry Management. In Encyclopedia of Smart Agriculture Technologies (pp. 1-8). Cham: Springer International Publishing. Zhao, Y., Cambra-López, M., De Moura, D.J. and Zheng, W. eds., 2022. Precision Poultry Farming. MDPI Books. Nasiri, A., Yoder, J., Zhao, Y., Hawkins, S., Prado, M. and Gan, H., 2022. Pose estimation-based lameness recognition in broiler using CNN-LSTM network. Computers and Electronics in Agriculture, 197, p.106931. Li, G., Hui, X., Zhao, Y., Zhai, W., Purswell, J.L., Porter, Z., Poudel, S., Jia, L., Zhang, B. and Chesser, G.D., 2022. Effects of ground robot manipulation on hen floor egg reduction, production performance, stress response, bone quality, and behavior. Plos one, 17(4), p.e0267568. Yang, X., Zhao, Y., Qi, H. and Tabler, G.T., 2021. Characterizing sounds of different sources in a commercial broiler house. Animals, 11(3), p.916. Li, G., Huang, Y., Chen, Z., Chesser, G.D., Purswell, J.L., Linhoss, J. and Zhao, Y., 2021. Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review. Sensors, 21(4), p.1492. Li, G., Hui, X., Chen, Z., Chesser Jr, G.D. and Zhao, Y., 2021. 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, 181, p.105982. Li, G., Chesser, G.D., Huang, Y., Zhao, Y. and Purswell, J.L., 2021. Development and optimization of a deep-learning-based egg-collecting robot. Transactions of the ASABE, 64(5), pp.1659-1669. Yang, X., Zhao, Y., Street, G.M., Huang, Y., To, S.F. and Purswell, J.L., 2021. Classification of broiler behaviours using triaxial accelerometer and machine learning. Animal, 15(7), p.100269. Yang, X., Zhao, Y., Qi, H. and Tabler, T., 2021. Characterizing Sounds under Commercial Broiler Environment. In 2021 ASABE Annual International Virtual Meeting (p. 1). American Society of Agricultural and Biological Engineers. Parajuli, P., Zhao, Y. and Tabler, T., 2020. Evaluating avoidance distance and fleeing speed of broilers exposed to aerial systems. International Journal of Agricultural and Biological Engineering, 13(6), pp.34-40. Li, G., Zhao, Y., Purswell, J.L., Du, Q., Chesser Jr, G.D. and Lowe, J.W., 2020. Analysis of feeding and drinking behaviors of group-reared broilers via image processing. Computers and Electronics in Agriculture, 175, p.105596. Yang, X., Zhao, Y. and Tabler, G.T., 2020. Accuracy of broiler activity index as affected by sampling time interval. Animals, 10(6), p.1102. Li, G., Ji, B., Li, B., Shi, Z., Zhao, Y., Dou, Y. and Brocato, J., 2020. Assessment of layer pullet drinking behaviors under selectable light colors using convolutional neural network. Computers and electronics in agriculture, 172, p.105333. Li, G., Hui, X., Lin, F. and Zhao, Y., 2020. Developing and evaluating poultry preening behavior detectors via mask region-based convolutional neural network. Animals, 10(10), p.1762. Yang, X., Huo, X., Li, G., Purswell, J.L., Tabler, G.T., Chesser, G.D., Magee, C.L. and Zhao, Y., 2020. Effects of elevated platform and robotic vehicle on broiler production, welfare, and housing environment. Transactions of the ASABE, 63(6), pp.1981-1990. Parajuli, P., Huang, Y., Tabler, T., Purswell, J.L., DuBien, J.L. and Zhao, Y., 2020. Comparative evaluation of poultry-human and poultry-robot avoidance distances. Transactions of the ASABE, 63(2), pp.477-484. Li, G., Xu, Y., Zhao, Y., Du, Q. and Huang, Y., 2020. Evaluating convolutional neural networks for cage-free floor egg detection. Sensors, 20(2), p.332. Li, G., Li, B., Shi, Z., Zhao, Y., Tong, Q. and Liu, Y., 2019. Diurnal rhythms of group-housed layer pullets with free choices between light and dim environments. Canadian Journal of Animal Science, 100(1), pp.37-46. Oliveira, J.L., Xin, H., Wang, K. and Zhao, Y., 2019. Evaluation of nesting behavior of individual laying hens in an enriched colony housing by using RFID technology. International Journal of Agricultural and Biological Engineering, 12(6), pp.7-15. Li, G., Zhao, Y., Xu, Y. and Du, Q., 2019. Evaluation of Convolutional Neural Networks for Detecting Floor Eggs of Cage-Free Hen Housing Systems. Animal Environment and Welfare. Li, G., Zhao, Y., Hailey, R., Zhang, N., Liang, Y. and Purswell, J.L., 2019. An ultra-high frequency radio frequency identification system for studying individual feeding and drinking behaviors of group-housed broilers. Animal, 13(9), pp.2060-2069. Zhao, Y., Xin, H. and Li, L., 2019. Modelling and validating the indoor environment and supplemental heat requirement during ventilation shutdown (VSD) for rapid depopulation of hens and turkeys. biosystems engineering, 184, pp.130-141. Yang, X., Huo, X., Li, G., Purswell, J.L., Tabler, T., Chesser, D. and Zhao, Y., 2019. Application of elevated perching platform and robotic vehicle in broiler production. In 2019 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers. Li, G., Li, B., Zhao, Y., Shi, Z., Liu, Y. and Zheng, W., 2019. Layer pullet preferences for light colors of light-emitting diodes. animal, 13: 1245-1251. Parajuli, P., Zhao, Y., Tabler, T. and Chesser, G.D., 2019. Evaluating avoidance distance of broilers exposed to aerial automated systems. In 2019 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers. Li, G., Zhao, Y., Chesser, G.D., Lowe, J.W. and Purswell, J.L., 2019. Image processing for analyzing broiler feeding and drinking behaviors. In 2019 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers. Li, G., Li, B., Shi, Z., Zhao, Y. and Ma, H., 2018. Design and evaluation of a lighting preference test system for laying hens. Computers and Electronics in Agriculture, 147, pp.118-125. Tao, D.I.N.G., Yang, Z.H.A.O., Zhengxiang, S.H.I. and Chaoyuan, W.A.N.G., 2018. Influence of Length of Shroud on Performance of Agricultural Axial Fan. Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 49(12). Parajuli, P., Huang, Y., Zhao, Y., Tabler, T. and Purswell, J.L., 2018. Comparative evaluation of poultry avoidance distances to human vs. robotic vehicle. In 10th International Livestock Environment Symposium (ILES X) (p. 1). American Society of Agricultural and Biological Engineers. Muvva, V.V., Zhao, Y., Parajuli, P., Zhang, S., Tabler, T. and Purswell, J., 2018. Automatic Identification of Broiler Mortality Using Image Processing Technology. In 10th International Livestock Environment Symposium (ILES X) (p. 1). American Society of Agricultural and Biological Engineers. Li, G., Zhao, Y., Hailey, R., Zhang, N., Liang, Y. and Purswell, J.L., 2018. Radio-frequency identification (rfid) system for monitoring specific behaviors of group housed broilers. In 10th International Livestock Environment Symposium (ILES X) (p. 1). American Society of Agricultural and Biological Engineers. Li, G., Zhao, Y., Purswell, J.L., Liang, Y. and Lowe, J.W., 2018. Feeding behaviors of broilers at chicken-perceived vs. human-perceived light intensities under two light spectrums. In 2018 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
