| Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review G Li, Y Huang, Z Chen, GD Chesser Jr, JL Purswell, J Linhoss, Y Zhao Sensors 21 (4), 1492, 2021 | 157 | 2021 |
| Individual Beef Cattle Identification Using Muzzle Images and Deep Learning Techniques G Li, GE Erickson, Y Xiong Animals 12 (11), 1453, 2022 | 54 | 2022 |
| Analysis of feeding and drinking behaviors of group-reared broilers via image processing G Li, Y Zhao, JL Purswell, Q Du, GD Chesser Jr, JW Lowe Computers and Electronics in Agriculture 175, 105596, 2020 | 52 | 2020 |
| Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun, L Guan, G Lu, G Mai, N Liu, ... arXiv preprint arXiv:2309.07438, 2023 | 47 | 2023 |
| Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors G Li, X Hui, Z Chen, GD Chesser Jr, Y Zhao Computers and electronics in agriculture 181, 105982, 2021 | 45 | 2021 |
| An ultra-high frequency radio frequency identification system for studying individual feeding and drinking behaviors of group-housed broilers G Li, Y Zhao, R Hailey, N Zhang, Y Liang, JL Purswell Animal 13 (9), 2060-2069, 2019 | 40 | 2019 |
| Assessment of layer pullet drinking behaviors under selectable light colors using convolutional neural network G Li, B Ji, B Li, Z Shi, Y Zhao, Y Dou, J Brocato Computers and Electronics in Agriculture 172, 105333, 2020 | 39 | 2020 |
| Developing and Evaluating Poultry Preening Behavior Detectors via Mask Region-Based Convolutional Neural Network G Li, X Hui, F Lin, Y Zhao Animals 10 (10), 1762, 2020 | 37 | 2020 |
| Automated measurement of broiler stretching behaviors under four stocking densities via faster region-based convolutional neural network G Li, Y Zhao, Z Porter, JL Purswell Animal 15 (1), 100059, 2021 | 36 | 2021 |
| Evaluating convolutional neural networks for cage-free floor egg detection G Li, Y Xu, Y Zhao, Q Du, Y Huang Sensors 20 (2), 332, 2020 | 35 | 2020 |
| Layer pullet preferences for light colors of light-emitting diodes G Li, B Li, Y Zhao, Z Shi, Y Liu, W Zheng Animal 13 (6), 1245-1251, 2019 | 32 | 2019 |
| Effects of feeder space on broiler feeding behaviors G Li, Y Zhao, JL Purswell, C Magee Poultry Science 100 (4), 101016, 2021 | 26 | 2021 |
| Design and evaluation of a lighting preference test system for laying hens G Li, B Li, Z Shi, Y Zhao, H Ma Computers and Electronics in Agriculture 147, 118-125, 2018 | 25 | 2018 |
| Classifying ingestive behavior of dairy cows via automatic sound recognition G Li, Y Xiong, Q Du, Z Shi, RS Gates Sensors 21 (15), 5231, 2021 | 23 | 2021 |
| Effects of elevated platform and robotic vehicle on broiler production, welfare, and housing environment X Yang, X Huo, G Li, JL Purswell, GT Tabler, GD Chesser, CL Magee, ... Transactions of the ASABE 63 (6), 1981-1990, 2020 | 22 | 2020 |
| Early detection of avian diseases based on thermography and artificial intelligence M Sadeghi, A Banakar, S Minaei, M Orooji, A Shoushtari, G Li Animals 13 (14), 2348, 2023 | 19 | 2023 |
| Image processing for analyzing broiler feeding and drinking behaviors G Li, Y Zhao, GD Chesser, JW Lowe, JL Purswell 2019 ASABE Annual International Meeting, 1, 2019 | 18 | 2019 |
| An informative planning-based multi-layer robot navigation system as applied in a poultry barn T Lei, G Li, C Luo, L Zhang, L Liu, RS Gates Intelligence & Robotics 2 (4), 313-32, 2022 | 17 | 2022 |
| Development and optimization of a deep-learning-based egg-collecting robot G Li, GD Chesser, Y Huang, Y Zhao, JL Purswell Transactions of the ASABE 64 (5), 1659-1669, 2021 | 17 | 2021 |
| AnimalAccML: An open-source graphical user interface for automated behavior analytics of individual animals using triaxial accelerometers and machine learning G Li, L Chai Computers and Electronics in Agriculture 209, 107835, 2023 | 14 | 2023 |
Yang ZhaoAssociate Professor, Animal Science, University of TennesseeVerified email at utk.edu