Research Progress and Prospects of Agricultural Aero-Bionic Technology in China
Accelerating the development of agricultural aviation technology is the need of China’s modern agricultural construction. With the rise of emerging industries such as artificial intelligence, biotechnology, autonomous navigation, and the Internet of Things, agricultural aviation is further developin...
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2021
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oai:doaj.org-article:3ddfd886a9784b048dc880ceaace54762021-11-11T15:24:13ZResearch Progress and Prospects of Agricultural Aero-Bionic Technology in China10.3390/app1121104352076-3417https://doaj.org/article/3ddfd886a9784b048dc880ceaace54762021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10435https://doaj.org/toc/2076-3417Accelerating the development of agricultural aviation technology is the need of China’s modern agricultural construction. With the rise of emerging industries such as artificial intelligence, biotechnology, autonomous navigation, and the Internet of Things, agricultural aviation is further developing toward the direction of intelligence to meet the requirements of efficient and sophisticated agricultural aviation operations. Bionics is a multi-discipline and comprehensive border subject. It is produced by the mutual penetration and integration of life science and engineering science. Bionic technology has received more and more attention in recent years, and breakthroughs have been made in the fields of biomedicine and health, military, brain science and brain-like navigation, and advanced manufacturing. This study summarized the research progress of biomimetic technology in the field of agricultural aviation from three aspects of biological perception, biological behavior, and biological intelligence. On this basis, problems of related research and application of agricultural aircraft in real-time obstacle avoidance, path planning, and intelligent navigation were analyzed. Combined with the practice of the rapid development of agricultural aircraft, research and application of bionic technology suitable for agricultural aircraft were then proposed. Finally, prospects of agricultural aero-bionic technology were also discussed from multiple bionic target fusion, three-dimensional spatial information exploration, sensors, and animal brain system mechanism. This review provides a reference for the development of bionic technology in China’s agricultural aviation.Yali ZhangHaoxin TianXinrong HuangChenyang MaLinlin WangHanchao LiuYubin LanMDPI AGarticleagricultural aviationaero-bionic technologyunmanned aerial vehicleobstacle avoidancepath planningconvolutional neural networkTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10435, p 10435 (2021) |
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agricultural aviation aero-bionic technology unmanned aerial vehicle obstacle avoidance path planning convolutional neural network Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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agricultural aviation aero-bionic technology unmanned aerial vehicle obstacle avoidance path planning convolutional neural network Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Yali Zhang Haoxin Tian Xinrong Huang Chenyang Ma Linlin Wang Hanchao Liu Yubin Lan Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
description |
Accelerating the development of agricultural aviation technology is the need of China’s modern agricultural construction. With the rise of emerging industries such as artificial intelligence, biotechnology, autonomous navigation, and the Internet of Things, agricultural aviation is further developing toward the direction of intelligence to meet the requirements of efficient and sophisticated agricultural aviation operations. Bionics is a multi-discipline and comprehensive border subject. It is produced by the mutual penetration and integration of life science and engineering science. Bionic technology has received more and more attention in recent years, and breakthroughs have been made in the fields of biomedicine and health, military, brain science and brain-like navigation, and advanced manufacturing. This study summarized the research progress of biomimetic technology in the field of agricultural aviation from three aspects of biological perception, biological behavior, and biological intelligence. On this basis, problems of related research and application of agricultural aircraft in real-time obstacle avoidance, path planning, and intelligent navigation were analyzed. Combined with the practice of the rapid development of agricultural aircraft, research and application of bionic technology suitable for agricultural aircraft were then proposed. Finally, prospects of agricultural aero-bionic technology were also discussed from multiple bionic target fusion, three-dimensional spatial information exploration, sensors, and animal brain system mechanism. This review provides a reference for the development of bionic technology in China’s agricultural aviation. |
format |
article |
author |
Yali Zhang Haoxin Tian Xinrong Huang Chenyang Ma Linlin Wang Hanchao Liu Yubin Lan |
author_facet |
Yali Zhang Haoxin Tian Xinrong Huang Chenyang Ma Linlin Wang Hanchao Liu Yubin Lan |
author_sort |
Yali Zhang |
title |
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
title_short |
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
title_full |
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
title_fullStr |
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
title_full_unstemmed |
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China |
title_sort |
research progress and prospects of agricultural aero-bionic technology in china |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3ddfd886a9784b048dc880ceaace5476 |
work_keys_str_mv |
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