Abstract
Since the late 2010s,Artificial Intelligence(AI)including machine learning,boosted through deep learning,has boomed as a vital tool to leverage computer vision,natural language processing and speech recognition in revolutionizing zoological research.This review provides an overview of the primary tasks,core models,datasets,and applications of Al in zoological research,including animal classification,resource conservation,behavior,development,genetics and evolution,breeding and health,disease models,and paleontology.Additionally,we explore the challenges and future directions of integrating Al into this field.Based on numerous case studies,this review outlines various avenues for incorporating Al into zoological research and underscores its potential to enhance our understanding of the intricate relationships that exist within the animal kingdom.As we build a bridge between beast and byte realms,this review serves as a resource for envisioning novel Al applications in zoological research that have not yet been explored.
基金项目
National Natural Science Foundation of China(31871274)
Natural Science Foundation of Chongqing,China(CSTB2022NSCQ-MSX0650)
Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202100508)
Team Project of Innovation Leading Talent in Chongqing(CQYC20210309536)
"Contract System"Project of Chongqing Talent Plan(cstc2022ycjhbgzxm0147)
国家科技期刊平台
NSTL
万方数据