# Research Progress and Prospects of Agricultural Aero-Bionic Technology in China
## 5 Discussion  
This review summarized the application principles of bionics from the three modules of biological perception, biological behavior, and biological intelligence, and analyzed the latest progress of bionic technology in China's agricultural aviation research by enumerating representative literature. From the perspective of the development of bionic technology in human history, the development of bionics has not been smooth sailing since its conception more than 60 years ago. In the development, due to the backwardness of biology, manufacturing technology and equipment, analysis and testing technology and instruments, many bionic research studies cannot be carried out. As can be seen from Figure 9, relevant research on bionics had been carried out before the birth of the word biomics. This development phenomenon of wave-like progress is also one of the main reasons why people do not systematically recognize the combination concept of aero-bionics. In general, bionic technology provides a new direction for the development of agricultural aviation. The proposal and improvement of various intelligent bionic algorithms have enriched agricultural aircraft precision and autonomous operation capabilities. The development of bionic sensors also provides new technical approaches to solve the problems faced by agricultural aircraft in obstacle avoidance and data collection. Bionics is a multi-discipline and comprehensive border subject. It is produced by the mutual penetration and integration of life science and engineering science. Looking to the future, the  
Figure 9: The timeline of research on bionic technology. research on agriculture aero-bionic technology requires breakthroughs in the following four aspects:  
1. Research on multiple bionic targets. In the complex and harsh farmland environment, aviation operations are usually faced with multiple complex problems. While a single bionic target provides an optimized solution to a specific problem, it also has limitations. Only by effectively realizing these goals can the optimal bionic design requirements be better achieved. For example, 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 also provide feasibility for the realization of precision spraying and intelligent navigation for agricultural aircraft. A variety of fusion bionic algorithms can propose optimal solutions for farmland environments with different operating requirements, avoiding the problems of slow calculations and ease of falling into local optima in a single algorithm. At the same time, according to the different characteristics of each algorithm, a more optimized bionic fusion algorithm can be designed according to the types of farmland operation and existing problems in the future. Therefore, the fusion of multiple bionic designs will help to efficiently solve the technical problems faced in the field of agricultural aviation. 2. In-depth exploration of three-dimensional spatial information. Three-dimensional spatial information exploration is mainly used in the fields of UAV obstacle avoidance, path planning, and image acquisition. When an aircraft faces complex and changeable operating environments such as terrain and air obstacles, the problem of how to effectively identify obstacles and make correct obstacle avoidance decisions still needs to be resolved. In China, there is relatively little research on the three-dimensional space operation of agricultural aircraft, and the follow-up work should increase the relevant research on the three-dimensional space operation of agricultural aviation. 3. Research on miniaturization, integration, and intelligence of sensor devices.