From beasts to bytes:Revolutionizing zoological research with artificial intelligence
作者机构:Chongqing Key Laboratory of Vector InsectsChongqing Key Laboratory of Animal BiologyCollege of Life ScienceChongqing Normal UniversityChongqing 401331China School of Mathematical SciencesChongqing Normal UniversityChongqing 401331China Chongqing National Center for Applied MathematicsChongqing Normal UniversityChongqing 401331China
出 版 物:《Zoological Research》 (动物学研究(英文))
年 卷 期:2023年第44卷第6期
页 面:1115-1131页
核心收录:
学科分类:0710[理学-生物学] 07[理学] 071002[理学-动物学]
基 金:supported by the 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 (cstc2022ycjh-bgzxm0147)
主 题:Animal science Data extraction Classification model Behavior analysis Biomolecular sequences analysis
摘 要: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 *** review provides an overview of the primary tasks,core models,datasets,and applications of AI in zoological research,including animal classification,resource conservation,behavior,development,genetics and evolution,breeding and health,disease models,and ***,we explore the challenges and future directions of integrating AI into this *** on numerous case studies,this review outlines various avenues for incorporating AI into zoological research and underscores its potential to enhance our understanding of the intricate relationships that exist within the animal *** we build a bridge between beast and byte realms,this review serves as a resource for envisioning novel AI applications in zoological research that have not yet been explored.