Publications | UT Precision Livestock Farming

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.