Abstract
With the rapid development of artificial intelligence and other technologies, intelligent agriculture has become the focus of the application and research of Internet of things technology in the field of modern agriculture. Intelligently processing the information and flight situation captured by UAVs in real time to assist flight decision-making and provide feasible solutions for unmanned, automated and intelligent management is an indispensable and important link in the construction of intelligent agriculture. Pear, citrus and longan are important fruit crops in Guangdong Province. They are vulnerable to wood lice. Among them, pear and citrus are the most severely affected. When wood lice are rampant, they can destroy the whole orchard. UAV agriculture, forestry and plant protection is one of the guarantees for the sustainable development of agricultural production in Guangdong Province, and is also a hot research direction at present. The plant protection light rotorcraft using unmanned ultra-low altitude operation has the characteristics of small chemical liquid consumption, high operation efficiency, flexible movement, good terrain adaptability, hovering and no need for fixed take-off and landing airports. This paper introduces the energy efficiency optimization algorithm of information collection based on multi-objective and multi constraint conditions in UAV path planning for agriculture, forestry and plant protection.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ding, G., Wu, Q., Zhang, L., Lin, Y., Tsiftsis, T.A., Yao, Y.D.: An amateur drone surveillance system based on the cognitive internet of things. IEEE Commun. Mag. 56(1), 29–35 (2018)
Motlagh, N.H., Taleb, T., Arouk, O.: Low-altitude unmanned aerial vehiclesbased internet of things services: comprehensive survey and future perspectives. IEEE Internet Things J. 3(6), 899–922 (2016)
Yong, Z., Rui, Z.: Energy-efficient uav communication with trajectory optimization. IEEE Trans. Wirel. Commun. 16(99), 3747–3760 (2016)
Wu, Q., Zeng, Y., Zhang, R.: Joint trajectory and communication design for multiuav enabled wireless networks. IEEE Trans. Wirel. Commun. 17(3), 2109–2121 (2018)
Franco, C.D., Buttazzo, G. ‘Energy-aware coverage path planning of uavs’. In: 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, pp. 111–117 (2015)
Wang, H., Ding, G., Gao, F., Chen, J., Wang, J., Wang, L.: Power control in uavsupported ultra dense networks: communications, caching, and energy transfer. IEEE Commun. Mag. 56(6), 28–34 (2018)
Lyu, J., Yong, Z., Rui, Z.: Cyclical multiple access in uav-aided communications: a throughput-delay tradeoff. IEEE Wirel. Commun. Lett. 5(6), 600–603 (2016)
Zhang, C., Zhang, W.: Spectrum sharing for drone networks. IEEE J. Sel. Areas Commun. 35(1), 136–144 (2017)
Zhan, P., Yu, K., Swindlehurst, A.L.: Wireless relay communications using ann unmanned aerial vehicle’. In: 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, pp. 1–5. IEEE (2006)
Orfanus, D., Freitas, E.P.D., Eliassen, F.: Self-organization as a supporting paradigm for military uav relay networks. IEEE Commun. Lett. 20(4), 804–807 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Lin, X., Xu, Z., Wu, Y. (2023). Research on Key Technologies of Agricultural and Forestry Plant Protection UAV. In: Li, A., Shi, Y., Xi, L. (eds) 6GN for Future Wireless Networks. 6GN 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-031-36014-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-031-36014-5_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36013-8
Online ISBN: 978-3-031-36014-5
eBook Packages: Computer ScienceComputer Science (R0)