標(biāo)題: Titlebook: Drone Data Analytics in Aerial Computing; P. Karthikeyan,Sathish Kumar,V. Anbarasu Book 2023 The Editor(s) (if applicable) and The Author( [打印本頁] 作者: 熱情美女 時(shí)間: 2025-3-21 16:54
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作者: hauteur 時(shí)間: 2025-3-21 20:24 作者: 厭食癥 時(shí)間: 2025-3-22 00:31
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作者: Ptsd429 時(shí)間: 2025-3-22 08:32 作者: bibliophile 時(shí)間: 2025-3-22 10:22 作者: Fester 時(shí)間: 2025-3-22 16:39 作者: Fester 時(shí)間: 2025-3-22 17:46 作者: 直覺沒有 時(shí)間: 2025-3-23 00:41 作者: Incisor 時(shí)間: 2025-3-23 04:51
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作者: 減少 時(shí)間: 2025-3-23 06:28
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作者: 驚奇 時(shí)間: 2025-3-23 10:19 作者: FELON 時(shí)間: 2025-3-23 14:23 作者: 主動(dòng) 時(shí)間: 2025-3-23 20:28 作者: 極端的正確性 時(shí)間: 2025-3-24 01:04
Introspecting the Impact of Selected Macro-economic Variables and Policy Interventions in Unmanned sector in the Indian drone market. The Autoregressive Distributed Lag (ARDL) bounds testing approach has been used to examine the impact of macroeconomic variables on Unmanned Aerial Vehicle (UAV) manufacturing companies. The daily time series data have been considered to capture the changes in the 作者: BIAS 時(shí)間: 2025-3-24 05:27
P. Karthikeyan,Sathish Kumar,V. AnbarasuDiscusses 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作者: 吃掉 時(shí)間: 2025-3-24 09:57 作者: 埋葬 時(shí)間: 2025-3-24 11:15 作者: 噱頭 時(shí)間: 2025-3-24 18:10
Tensor Invariants and Glyph Designtics. Federated analytics is a systematic method used for data analytics that does not provide input data from individual devices. Where conventional data science brings much of the information into a typical central data lake, federated analytics collects information from far-distributed datasets w作者: 一大塊 時(shí)間: 2025-3-24 22:56
Hans Knutsson,Carl-Fredrik Westinaerial 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作者: 墊子 時(shí)間: 2025-3-25 01:12 作者: Nebulizer 時(shí)間: 2025-3-25 03:56
Viszeralchirurgie Fragen und Antwortenion is using the renewable sources as petrol, diesel and LPG. The emission from automobiles, internal combustion engine, smokes dusts, chemicals and particulate matter in the atmosphere are the major contributors towards environmental contamination. Collectively in India, the Central Contamination C作者: Bronchial-Tubes 時(shí)間: 2025-3-25 09:40 作者: 百科全書 時(shí)間: 2025-3-25 11:58 作者: FRONT 時(shí)間: 2025-3-25 18:10
Anne Mei?ner,Dietmar Jacob,Michael Heise format, including pictures, video, and text. Mainly, the captured image would be utilized for different use cases. In addition, machine vision plays a significant role in unmanned drones by enabling the identification, categorization, and tracking of objects while the UAV is in flight. Without mach作者: 辮子帶來幫助 時(shí)間: 2025-3-25 20:29 作者: Restenosis 時(shí)間: 2025-3-26 02:33
Anne Mei?ner,Dietmar Jacob,Michael Heiserrently 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作者: Ganglion-Cyst 時(shí)間: 2025-3-26 07:34 作者: Irascible 時(shí)間: 2025-3-26 10:55 作者: 人類學(xué)家 時(shí)間: 2025-3-26 15:48
Daniel Steenstra,John Ahmet Erkoyuncu for their operation. Due to the rapid advancement in aerial technology, they are more frequently used in civil and military applications such as agriculture, autonomous delivery of packages, city surveillance, searching and rescue missions, and disaster relief efforts. Drones collect real-time data作者: remission 時(shí)間: 2025-3-26 19:30
Paul Anderson,Minhua Ma,Matthieu Poyadesector in the Indian drone market. The Autoregressive Distributed Lag (ARDL) bounds testing approach has been used to examine the impact of macroeconomic variables on Unmanned Aerial Vehicle (UAV) manufacturing companies. The daily time series data have been considered to capture the changes in the 作者: Initial 時(shí)間: 2025-3-26 22:54 作者: CLAIM 時(shí)間: 2025-3-27 05:04 作者: 石墨 時(shí)間: 2025-3-27 07:32 作者: Ventilator 時(shí)間: 2025-3-27 09:56
Book 2023lso 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.作者: HAWK 時(shí)間: 2025-3-27 16:24 作者: impale 時(shí)間: 2025-3-27 19:40 作者: Institution 時(shí)間: 2025-3-27 23:34 作者: Harass 時(shí)間: 2025-3-28 03:50
Book 2023alytics 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 a作者: 起波瀾 時(shí)間: 2025-3-28 06:51
Introduction to Drone Data Analytics in Aerial Computing,aking effective use of the vast data sets that the drone receives is one of the most important goals of AI in the drone market; this would mean that the datasets were handled in an automated manner without a person involved in it. Drone data analytics investments are necessary for all of this. High-作者: 先驅(qū) 時(shí)間: 2025-3-28 14:01
A Study in Federated Learning Analytics for UAV,. An application that connects multiple drone data for varied applications like agriculture, animal disease deduction, defence system, etc. Drone technology is booming for its easy-to-use architecture and its ability to collect data where human reach ability is restricted. Drones combined with IOT d作者: 使成整體 時(shí)間: 2025-3-28 15:17 作者: 吞吞吐吐 時(shí)間: 2025-3-28 20:49
Environmental Drones for Autonomous Air Pollution Investigation, Detection, and Remediation, living organisms are affected by air contamination. This chapter contributes towards the tracking and monitoring of emission rate/air pollutants (PPM) in air through remote drone control system. The parameters which shall be measured include particulate matters, (PM) 10, PM2, Ozone (O.), Sulphur Di作者: enhance 時(shí)間: 2025-3-29 00:03
Detection of Pathogens in Plant Leaves Using Drone-Based Deep Learning Approach,ur proposed approach focuses on an EfficientNetV2-B4 with extra dense layers. An end-to-end training architecture is used by the customized EfficientNetV2-B4 to calculate the deep key points and classify them in the corresponding classes. A standard dataset, specifically the Plant Village data from 作者: 矛盾 時(shí)間: 2025-3-29 05:51
Artificial Intelligence Based Drones for Plant Disease Detection,arming may enter a new era thanks to drone technology. Pests and plant diseases significantly influence the yield and quality of plants. The proposed approach uses a drone to monitor crop health, identify plant diseases, and spray pesticides. Crop health monitoring is done by using sensors to contin作者: 淘氣 時(shí)間: 2025-3-29 10:59
Machine Vision in UAV Data Analytics for Precision Agriculture,and defect positioning. The proposed model uses the decision tree algorithm to classify crop coverage, crop count, and segregate based on GPS Coordinates. The proposed model would also be used for quantifying the number of plants in a specific location using machine vision. Future work would outline作者: paradigm 時(shí)間: 2025-3-29 12:27
Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Usinmake smart agriculture. The preprocessing of raw data into a machine learning-friendly dataset that can be easily computed is the first step in ensuring ML models to perform non-relational feature selection. To reduce redundancy and make optimized deep learning models which help to predict accurate 作者: 歌劇等 時(shí)間: 2025-3-29 16:41 作者: 鐵塔等 時(shí)間: 2025-3-29 20:43 作者: Incise 時(shí)間: 2025-3-30 00:04 作者: 可以任性 時(shí)間: 2025-3-30 07:35
An In-Sight Analysis of Cyber-Security Protocols and the Vulnerabilities in the Drone Communicationthe accessibility of communication channels. UAVs are susceptible to various attacks, including availability, confidentiality, integrity attacks, likely false data injection, GPS spoofing, jamming, and fuzzing. Robust security protocols should be implemented to protect UAVs from attackers to mitigat作者: 彎曲的人 時(shí)間: 2025-3-30 09:42
Introspecting the Impact of Selected Macro-economic Variables and Policy Interventions in Unmanned sociation with the selected macroeconomic variables, viz. Interest rate, Foreign Institutional Investment, and Exchange rate. Thus, it is witnessed that the performance of the Indian drone market is affected by macroeconomic factors and regulatory and policy interventions. Hence, the research has ne作者: 廣告 時(shí)間: 2025-3-30 13:21
2730-7484 son 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.978-981-99-5058-4978-981-99-5056-0Series ISSN 2730-7484 Series E-ISSN 2730-7492 作者: 豎琴 時(shí)間: 2025-3-30 18:20
Hans Knutsson,Carl-Fredrik Westinaking effective use of the vast data sets that the drone receives is one of the most important goals of AI in the drone market; this would mean that the datasets were handled in an automated manner without a person involved in it. Drone data analytics investments are necessary for all of this. High-作者: 里程碑 時(shí)間: 2025-3-30 21:00
