Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)

Abstract: This review paper offers a comprehensive exploration of the multifaceted applications of Unmanned Aerial Vehicles (UAVs) in various domains, showcasing their transformative impact in addressing complex challenges. The evaluation of cloud-based UAV systems' stability reveals their robu...

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Published in:Current Applied Materials
Main Authors: Harle, Shrikant, Bhagat, Amol, Dash, Ashish Kumar
Format: Article in Journal/Newspaper
Language:English
Published: Bentham Science Publishers Ltd. 2024
Subjects:
Online Access:http://dx.doi.org/10.2174/0126667312288014240129080801
https://www.eurekaselect.com/article/download/226752
https://www.eurekaselect.com/226752/article
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spelling crbenthamsciepub:10.2174/0126667312288014240129080801 2024-09-09T19:27:18+00:00 Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs) Harle, Shrikant Bhagat, Amol Dash, Ashish Kumar 2024 http://dx.doi.org/10.2174/0126667312288014240129080801 https://www.eurekaselect.com/article/download/226752 https://www.eurekaselect.com/226752/article en eng Bentham Science Publishers Ltd. Current Applied Materials volume 03 ISSN 2666-7312 journal-article 2024 crbenthamsciepub https://doi.org/10.2174/0126667312288014240129080801 2024-06-20T04:11:33Z Abstract: This review paper offers a comprehensive exploration of the multifaceted applications of Unmanned Aerial Vehicles (UAVs) in various domains, showcasing their transformative impact in addressing complex challenges. The evaluation of cloud-based UAV systems' stability reveals their robustness and reliability, underlining their significance in numerous industries. Additionally, their role in enhancing robot navigation in intricate environments signifies a substantial advancement in robotics and automation. The integration of blockchain technology for secure Internet of Things (IoT) data transfer emphasizes the critical importance of data integrity and confidentiality in the IoT era. Furthermore, the optimization of energy-efficient data collection in IoT networks through UAVs demonstrates their potential to revolutionize data-driven decision-making processes, particularly in fields reliant on data accuracy and timeliness. The paper also highlights the application of deep reinforcement learning to enhance UAV-assisted IoT data collection, showcasing the synergy between advanced machine learning techniques and UAV technology. Finally, the discussion underscores the pivotal role of UAVs in precision agriculture, where they facilitate ecological farming practices and monitor environmental conditions, contributing to the pursuit of sustainable and efficient agriculture. This review reaffirms UAVs' status as transformative tools, reshaping industries and unlocking new frontiers of innovation and problem-solving. With ongoing technological advancements, UAVs are poised to play an increasingly central role in a wide range of applications, promising a future marked by ground breaking possibilities. Key findings include the dominance of the United States and China in the field, exploration of characteristics such as crop production, and innovative UAV-based methods for grassland mapping, maize growth assessment, and Arctic plant species monitoring. The research underscores the potential of UAVs in bridging field ... Article in Journal/Newspaper Arctic Bentham Science Publishers Arctic Current Applied Materials 03
institution Open Polar
collection Bentham Science Publishers
op_collection_id crbenthamsciepub
language English
description Abstract: This review paper offers a comprehensive exploration of the multifaceted applications of Unmanned Aerial Vehicles (UAVs) in various domains, showcasing their transformative impact in addressing complex challenges. The evaluation of cloud-based UAV systems' stability reveals their robustness and reliability, underlining their significance in numerous industries. Additionally, their role in enhancing robot navigation in intricate environments signifies a substantial advancement in robotics and automation. The integration of blockchain technology for secure Internet of Things (IoT) data transfer emphasizes the critical importance of data integrity and confidentiality in the IoT era. Furthermore, the optimization of energy-efficient data collection in IoT networks through UAVs demonstrates their potential to revolutionize data-driven decision-making processes, particularly in fields reliant on data accuracy and timeliness. The paper also highlights the application of deep reinforcement learning to enhance UAV-assisted IoT data collection, showcasing the synergy between advanced machine learning techniques and UAV technology. Finally, the discussion underscores the pivotal role of UAVs in precision agriculture, where they facilitate ecological farming practices and monitor environmental conditions, contributing to the pursuit of sustainable and efficient agriculture. This review reaffirms UAVs' status as transformative tools, reshaping industries and unlocking new frontiers of innovation and problem-solving. With ongoing technological advancements, UAVs are poised to play an increasingly central role in a wide range of applications, promising a future marked by ground breaking possibilities. Key findings include the dominance of the United States and China in the field, exploration of characteristics such as crop production, and innovative UAV-based methods for grassland mapping, maize growth assessment, and Arctic plant species monitoring. The research underscores the potential of UAVs in bridging field ...
format Article in Journal/Newspaper
author Harle, Shrikant
Bhagat, Amol
Dash, Ashish Kumar
spellingShingle Harle, Shrikant
Bhagat, Amol
Dash, Ashish Kumar
Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
author_facet Harle, Shrikant
Bhagat, Amol
Dash, Ashish Kumar
author_sort Harle, Shrikant
title Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
title_short Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
title_full Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
title_fullStr Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
title_full_unstemmed Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
title_sort remote sensing revolution: mapping land productivity and vegetation trends with unmanned aerial vehicles (uavs)
publisher Bentham Science Publishers Ltd.
publishDate 2024
url http://dx.doi.org/10.2174/0126667312288014240129080801
https://www.eurekaselect.com/article/download/226752
https://www.eurekaselect.com/226752/article
geographic Arctic
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genre_facet Arctic
op_source Current Applied Materials
volume 03
ISSN 2666-7312
op_doi https://doi.org/10.2174/0126667312288014240129080801
container_title Current Applied Materials
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