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

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書目名稱Drone Data Analytics in Aerial Computing
編輯P. Karthikeyan,Sathish Kumar,V. Anbarasu
視頻videohttp://file.papertrans.cn/283/282951/282951.mp4
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
叢書名稱Transactions on Computer Systems and Networks
圖書封面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
關(guān)鍵詞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

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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
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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
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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
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