Caiping Zhao, Wenrui Dai, Qiang Liu, Dongqi Liu, Nathan James Roberts, Zhaoli Liu, Ming Gong, Hongkun Qiu, Changhai Liu, Dan Liu, Guangkai Ma, Guangshun Jiang
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引用次数: 0
Abstract
We found that the area of black round or irregular-shaped spots on the tiger's nose increased with age, indicating a positive relationship between age and nose features. We used the deep learning model to train the facial and nose image features to identify the age of Amur tigers, using a combination of classification and prediction methods to achieve age determination with an accuracy of 87.81%.
期刊介绍：
The official journal of the International Society of Zoological Sciences focuses on zoology as an integrative discipline encompassing all aspects of animal life. It presents a broader perspective of many levels of zoological inquiry, both spatial and temporal, and encourages cooperation between zoology and other disciplines including, but not limited to, physics, computer science, social science, ethics, teaching, paleontology, molecular biology, physiology, behavior, ecology and the built environment. It also looks at the animal-human interaction through exploring animal-plant interactions, microbe/pathogen effects and global changes on the environment and human society.
Integrative topics of greatest interest to INZ include:
(1) Animals & climate change
(2) Animals & pollution
(3) Animals & infectious diseases
(4) Animals & biological invasions
(5) Animal-plant interactions
(6) Zoogeography & paleontology
(7) Neurons, genes & behavior
(8) Molecular ecology & evolution
(9) Physiological adaptations
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