Citations of recent PLF publications authored by UTK-PLF Team Members
E.T. Psota, E.K. Luc, G.M. Pighetti, L.G. Schneider, R.T. Trout Fryxell, J.W. Keele, L.A. Kuehn. Development and validation of a neural network for the automated detection of horn flies on cattle, Computers and Electronics in Agriculture, Volume 180, 2021, 105927, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105927.
- Moon, J., DuBien, J., Ramachandran, R., Liang, Y., Dridi, S. and Tabler, T., 2023. Effects of a Sprinkler and Cool Cell Combined System on Cooling Water Usage, Litter Moisture, and Indoor Environment of Broiler Houses. Animals, 13(18), p.2939.
- Jaihuni, M., Zhao, Y., Gan, H., Tabler, T., Qi, H. and Prado, M., Broiler Mobility Assessment Via a Semi-Supervised Deep Learning Model and Neo-Deep Sort Algorithm. Available at SSRN 4341431.
- 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.
- 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.
- 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., Y. Zhao, Z. Porter, J.L. Purswell. 2021. Automated measurement of broiler stretching behaviors under four stocking densities via faster region-based convolutional neural network. Animal, 15, 100059.
- 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.
- Yang, X., X. Huo, G. Li, J.L. Purswell, G.T. Tabler, G.D. Chesser, C.L. Magee, Y. Zhao. 2020. Effects of elevated perching platform and robotic vehicle on broiler production, welfare, and housing environment. Transactions of the ASABE 63(6): 1981-1990.
- 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., 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.
- 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.
- 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.
- 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.
- 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.
- Eckelkamp, E. and J. Bewley. 2020. On-farm use of disease alerts generated by precision dairy technology. J. Dairy Sci. 103:1566-1582.
- Eckelkamp, E. A. 2019. Invited Review: Current state of wearable precision dairy technologies in disease detection. Appl. Anim. Sci. 35:209-220.
- Li, G., Y. Huang, Z. Chen, G.D. Chesser, J.L. Purswell, J. Linhoss, Y. Zhao. 2021. Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review. Sensors, 21, 1492.