找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Drone Data Analytics in Aerial Computing; P. Karthikeyan,Sathish Kumar,V. Anbarasu Book 2023 The Editor(s) (if applicable) and The Author(

[复制链接]
查看: 38833|回复: 53
发表于 2025-3-21 16:54:17 | 显示全部楼层 |阅读模式
书目名称Drone Data Analytics in Aerial Computing
编辑P. Karthikeyan,Sathish Kumar,V. Anbarasu
视频video
概述Discusses state-of-the-art drone data analytics in aerial computing with the use of illustrations.Covers the latest developments in drone data analytics in agriculture.Presents a comparison of the dat
丛书名称Transactions on Computer Systems and Networks
图书封面Titlebook: Drone Data Analytics in Aerial Computing;  P. Karthikeyan,Sathish Kumar,V. Anbarasu Book 2023 The Editor(s) (if applicable) and The Author(
描述This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.
出版日期Book 2023
关键词Aerial Computing; Machine Learning for Drone Data Analytics; Deep Learning; Artificial Intelligence for
版次1
doihttps://doi.org/10.1007/978-981-99-5056-0
isbn_softcover978-981-99-5058-4
isbn_ebook978-981-99-5056-0Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

书目名称Drone Data Analytics in Aerial Computing影响因子(影响力)




书目名称Drone Data Analytics in Aerial Computing影响因子(影响力)学科排名




书目名称Drone Data Analytics in Aerial Computing网络公开度




书目名称Drone Data Analytics in Aerial Computing网络公开度学科排名




书目名称Drone Data Analytics in Aerial Computing被引频次




书目名称Drone Data Analytics in Aerial Computing被引频次学科排名




书目名称Drone Data Analytics in Aerial Computing年度引用




书目名称Drone Data Analytics in Aerial Computing年度引用学科排名




书目名称Drone Data Analytics in Aerial Computing读者反馈




书目名称Drone Data Analytics in Aerial Computing读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:24:37 | 显示全部楼层
发表于 2025-3-22 00:31:49 | 显示全部楼层
Analysis of Geospatial Data Collected by Drones as Part of Aerial Computing,aerial vehicles, on the other hand, are not just used by the military. They are also used for photogrammetry. This modern technology has been helpful in mapping, sensing, construction management, geoscience, geomorphology, military technology, plan outlines, and communication systems. The acquired i
发表于 2025-3-22 08:32:56 | 显示全部楼层
发表于 2025-3-22 10:22:06 | 显示全部楼层
发表于 2025-3-22 16:39:24 | 显示全部楼层
发表于 2025-3-22 17:46:51 | 显示全部楼层
发表于 2025-3-23 00:41:29 | 显示全部楼层
发表于 2025-3-23 04:51:49 | 显示全部楼层
Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Usinr. In particular, crop forecasting is imperative in agriculture and highly depends on soil and environmental conditions such as rainfall, humidity, and temperature. Previously, farmers could decide which crops to grow, monitor their growth, and choose when to harvest. As environmental conditions rap
发表于 2025-3-23 06:28:18 | 显示全部楼层
IoT-Based Automatic Drip Irrigation Control Using Intelligent Agriculture,rrently and then the second one is agriculture water management. Nowadays drip irrigation systems are used in agriculture to reduce water consumption. In India 63.43% of agricultural land are implemented with multi-cropping and drip irrigation system. In multi-cropping method water intake capacity f
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-23 12:54
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表