Abstract

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.

Highlights

  • This review sorts out the research history of bionic technology in agricultural aviation in China from the aspects of biological perception, biological behavior, and artificial intelligence, analyzes the current development of bionic technology in the field of agricultural aviation, and discusses the existing problems and future development prospects of agriculture aerobionic technology in China

  • Zhang [25] proposed an idea to process the data obtained by the ultrasonic sensor and binocular vision through the Federal Kalman filter fusion algorithm to process and fuse the image information taken by the ultrasonic binocular, so as to improve the obstacle avoidance perception accuracy of UAVs

  • In the face of complex farmland operating environments in the future, a variety of combinations can be proposed for different sensor characteristics so that agricultural aircraft can cope with complex operating environments and achieve real-time obstacle avoidance requirements, and it can provide feasibility for the realization of precision spraying and intelligent navigation for agricultural aircraft

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Summary

Introduction

Agricultural aviation is widely used in agriculture, forestry, fishery, animal husbandry, and other fields It is an important development direction in China’s construction of efficient and reliable modern agriculture [3]. Bionic sensing technology can realize the precise operation and real-time obstacle avoidance of agricultural aircraft, which is one of the important directions for the development of intelligent agricultural aviation in the future [7]. The combination of bionic technology and agricultural aviation can achieve precise control of aviation aircraft, enabling it to have functions such as intelligent navigation and fine pesticide application, which is of positive significance to the development of precision agricultural aviation. Some Chinese scholars have carried out related research on the intelligent agricultural aviation, but they have not systematically realized that this is aero-bionic, a combination of bionic technology and agricultural aviation. This review sorts out the research history of bionic technology in agricultural aviation in China from the aspects of biological perception, biological behavior, and artificial intelligence, analyzes the current development of bionic technology in the field of agricultural aviation, and discusses the existing problems and future development prospects of agriculture aerobionic technology in China

Biological Perception and Agricultural Aviation
Echolocation and Obstacle Avoidance
Binocular Stereo Vision Bionics
Biological Behavior and Agricultural Aviation
Ant Colony Optimization
Particle Swarm Optimization
Genetic Algorithm
Brain-Like Navigation
Findings
Discussion
Conclusions
Full Text
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