Abstract
In recent years, a staggering increase in the development and use of unmanned aerial vehicles has been noticed in a comprehensive range of applications. This paper is based on the utilization of autonomous quadcopter in plantation monitoring (Krishna in Agricultural drones: a peaceful Pursuit, [1]). Agricultural drones are set to revolutionize the global food generation system. Agricultural drones are already flocking and hovering over farms situated in a few agrarian zones. This quadcopter will autonomously navigate, avoid collisions and collect data using computer vision for post-analysis and drop seeds in specified locations. Using aerial quadcopter for surveying vast agricultural land can reduce human efforts. The quadcopter is designed to detect moving objects and identify rodents using an object recognition method. The motive of the paper is to design a low-cost unmanned autonomous aerial vehicle system which will accurately and efficiently locate potential threats and notify the owners about their location and severity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Krishna, K.R.: Agricultural Drones: A Peaceful Pursuit
PatrÃcio, D.I., Rieder, R.: Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Comput. Electron. Agric. 153, 69–81 (2018)
Grocholsky, B., Keller, J., Kumar, V., Pappas, G.: Cooperative air and ground surveillance. IEEE Robot. Autom. Mag. 13(3), 16–25 (2006)
Vasudevan, A., Ajitkumar, D., Bhuvaneswari, N.S.: Precision farming using unmanned aerial and ground vehicles. In: Proceedings of IEEE International Conference on Technological Innovations in ICT For Agriculture and Rural Development, pp. 146–150 (2016)
Yahyanejad, S., Wischounig-Strucl, D., Quaritsch, M., Rinner, B.: Incremental mosaicking of images from autonomous small-scale UAVs. In: Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2010, pp. 329–336 (2010)
Tricaud, C., Chen, Y.Q.: Smart remote sensing of environmental systems using unmanned air vehicles. In: 8th World Congress on Intelligent Control and Automation (WCICA) 2010, pp. 1800–1805 (2010)
Tripicchio, P., Unetti, M., Giordani, N., Avizzano, C.A., Satler, M.: A lightweight slam algorithm for indoor autonomous navigation. In: Australasian Conference on Robotics and Automation ACRA 2014
Tripicchio, P., Satler, M., Avizzano, C., Bergamasco, M.: Autonomous navigation of mobile robots: from basic sensing to problem solving, pp. 1–6 (2014)
Bacco, M., Chessa, S., Di Benedetto, M., Fabbri, D., Girolami, M., Gotta, A., Moroni, D., Pascali, M.A., Pellegrini, V.: UAVs and UAV swarms for civilian applications: communications and image processing in the SCIADRO project. In: International Conference on Wireless and Satellite Systems, pp. 115–124 (2017)
Primicerio, J., Di Gennaro, S.F., Fiorillo, E., Genesio, L., et al.: A flexible unmanned aerial vehicle for precision agriculture. Precision Agric. 13(4), 517–523 (2012)
Tri, N.C., Duong, H.N., Van Hoai, T., Van Hoa, T., Nguyen, V.H., Toan, N.T., Snasel, V.: A novel approach based on deep learning techniques and UAVs to yield assessment of paddy fields. In: 9th International Conference on Knowledge and Systems Engineering (KSE) 2017, pp. 257–262 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nar, P., Amin, S.S., Banerjee, S., Garg, V., Pardasani, A. (2020). Autonomous Multifunctional Quadcopter for Real-Time Object Tracking and Seed Bombing in a Dynamic Environment. In: Subramanian, B., Chen, SS., Reddy, K. (eds) Emerging Technologies for Agriculture and Environment. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-7968-0_15
Download citation
DOI: https://doi.org/10.1007/978-981-13-7968-0_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7967-3
Online ISBN: 978-981-13-7968-0
eBook Packages: EngineeringEngineering (R0)