REVIEWING THE ROLE OF AI IN DRONE TECHNOLOGY AND APPLICATIONS

Nwankwo Constance Obiuto, Igberaese clinton festus-ikhuoria, Oladiran Kayode Olajiga, Riliwan Adekola Adebayo
{"title":"REVIEWING THE ROLE OF AI IN DRONE TECHNOLOGY AND APPLICATIONS","authors":"Nwankwo Constance Obiuto, Igberaese clinton festus-ikhuoria, Oladiran Kayode Olajiga, Riliwan Adekola Adebayo","doi":"10.51594/csitrj.v5i4.1019","DOIUrl":null,"url":null,"abstract":"This comprehensive review delves into the transformative impact of artificial intelligence (AI) on drone technology, examining its pivotal role in revolutionizing various applications. As drones continue to evolve from recreational gadgets to indispensable tools across industries, the integration of AI enhances their capabilities, enabling advanced functionalities and expanding their potential use cases. The convergence of AI and drone technology has given rise to a myriad of applications, transforming industries ranging from agriculture to surveillance. Machine learning algorithms empower drones with autonomous navigation capabilities, allowing them to navigate complex environments and adapt to dynamic scenarios. Computer vision technologies enable drones to perceive and analyze visual information, facilitating tasks such as object recognition, tracking, and environmental monitoring. These advancements significantly contribute to enhanced aerial surveying, precision agriculture, and disaster response efforts. In the realm of precision agriculture, AI-equipped drones aid in crop monitoring, disease detection, and yield estimation, optimizing resource allocation and boosting agricultural productivity. Drones with AI-driven capabilities are increasingly employed in environmental monitoring, wildlife conservation, and disaster response, providing real-time data for efficient decision-making. Recent trends in AI-infused drone technology highlight its dynamic evolution. Edge computing solutions empower drones to process data locally, reducing latency and enhancing real-time responsiveness. Reinforcement learning algorithms enable drones to learn from their experiences, adapting and optimizing their performance over time. Swarm intelligence, an emerging field in drone technology, leverages AI to enable coordinated and synchronized actions among multiple drones, expanding their capabilities for collaborative tasks. In conclusion, this review sheds light on the pivotal role of AI in transforming drone technology and expanding its applications. The synergy between AI and drones has unlocked new possibilities across various industries, ranging from agriculture to disaster response. As technology continues to advance, the collaborative integration of AI and drones promises to redefine the future of aerial technology, introducing unprecedented efficiencies and capabilities across diverse sectors. \nKeywords: Role, AI, Drone, Applications, Technology.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"223 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science & IT Research Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51594/csitrj.v5i4.1019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This comprehensive review delves into the transformative impact of artificial intelligence (AI) on drone technology, examining its pivotal role in revolutionizing various applications. As drones continue to evolve from recreational gadgets to indispensable tools across industries, the integration of AI enhances their capabilities, enabling advanced functionalities and expanding their potential use cases. The convergence of AI and drone technology has given rise to a myriad of applications, transforming industries ranging from agriculture to surveillance. Machine learning algorithms empower drones with autonomous navigation capabilities, allowing them to navigate complex environments and adapt to dynamic scenarios. Computer vision technologies enable drones to perceive and analyze visual information, facilitating tasks such as object recognition, tracking, and environmental monitoring. These advancements significantly contribute to enhanced aerial surveying, precision agriculture, and disaster response efforts. In the realm of precision agriculture, AI-equipped drones aid in crop monitoring, disease detection, and yield estimation, optimizing resource allocation and boosting agricultural productivity. Drones with AI-driven capabilities are increasingly employed in environmental monitoring, wildlife conservation, and disaster response, providing real-time data for efficient decision-making. Recent trends in AI-infused drone technology highlight its dynamic evolution. Edge computing solutions empower drones to process data locally, reducing latency and enhancing real-time responsiveness. Reinforcement learning algorithms enable drones to learn from their experiences, adapting and optimizing their performance over time. Swarm intelligence, an emerging field in drone technology, leverages AI to enable coordinated and synchronized actions among multiple drones, expanding their capabilities for collaborative tasks. In conclusion, this review sheds light on the pivotal role of AI in transforming drone technology and expanding its applications. The synergy between AI and drones has unlocked new possibilities across various industries, ranging from agriculture to disaster response. As technology continues to advance, the collaborative integration of AI and drones promises to redefine the future of aerial technology, introducing unprecedented efficiencies and capabilities across diverse sectors. Keywords: Role, AI, Drone, Applications, Technology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
回顾人工智能在无人机技术和应用中的作用
这篇综合评论深入探讨了人工智能(AI)对无人机技术的变革性影响,研究了人工智能在各种应用中的关键作用。随着无人机不断从娱乐小工具发展成为各行各业不可或缺的工具,人工智能的集成增强了无人机的能力,实现了先进的功能,扩大了潜在的使用范围。人工智能与无人机技术的融合催生了无数应用,改变了从农业到监控等各个行业。机器学习算法赋予无人机自主导航能力,使其能够在复杂的环境中航行并适应动态场景。计算机视觉技术使无人机能够感知和分析视觉信息,促进物体识别、跟踪和环境监测等任务。这些进步极大地促进了空中勘测、精准农业和灾难应对工作的提升。在精准农业领域,配备人工智能的无人机有助于作物监测、疾病检测和产量估算,从而优化资源配置,提高农业生产率。在环境监测、野生动物保护和灾难响应方面,越来越多地采用了具有人工智能驱动能力的无人机,为高效决策提供实时数据。人工智能无人机技术的最新趋势突显了其动态发展。边缘计算解决方案使无人机能够在本地处理数据,减少延迟并提高实时响应能力。强化学习算法使无人机能够从经验中学习,随着时间的推移调整和优化其性能。蜂群智能是无人机技术的一个新兴领域,它利用人工智能实现多架无人机之间的协调和同步行动,扩大了无人机执行协作任务的能力。总之,本综述揭示了人工智能在改变无人机技术和扩大其应用方面的关键作用。人工智能与无人机之间的协同作用为从农业到灾难应对等各行各业带来了新的可能性。随着技术的不断进步,人工智能与无人机的合作融合有望重新定义航空技术的未来,为各行各业带来前所未有的效率和能力。关键词作用、人工智能、无人机、应用、技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Role of pandemic in driving adoption of artificial intelligence in healthcare industry Challenges and strategies in securing smart environmental applications: A comprehensive review of cybersecurity measures Advances in machine learning-driven pore pressure prediction in complex geological settings Data science's pivotal role in enhancing oil recovery methods while minimizing environmental footprints: An insightful review Machine learning software for optimizing SME social media marketing campaigns
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1