Abstract
In developing economies like India, the country's growth is majorly dependent on the agricultural sector. Becoming self-reliant in meeting the basic needs is the primary objective of every nation. To feed a nation of 1.3 billion people, it is necessary to give up the conventional agricultural methods and adopt new scientific ones employing automation. Areca nut is a tropical crop that grows in the coastal regions of Karnataka. It has commercial and economic importance in India. To avoid the laborers climbing the tree and spray the fungicide solution, here it is proposed to address problem by developing a UAV that can semi-autonomously spray fungicide solution on areca nut tree. A quad copter drone with payload capacity of 500 g is developed with Pixhawk Flight Controller in it. Controller takes responsibility for drone actions and drone behaviors. Pixhawk controller is used as a independent hardware to provide autopilot feaures applicable in civil, industrial and military applications. As a complete implemented drone system updated with aurdupilot has suitable conditions in order to meet circular trajectory tracing feature in the controller itself. Live video transmission is also implemented in the project. The developed drone helps farmer to evenly spray the fungicide onto every tree in his farm.
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
Similar content being viewed by others
References
P. Tripicchio, Towards smart farming and sustainable agriculture with drones, in International Conference on Intelligent Environments (IE) (2015)
R.F. Maia, I. Netto, Precision agriculture using remote monitoring systems in Brazil, in IEEE Global Humanitarian Technology Conference (GHTC) (2017)
D. Murugan, IEEE, Development of an adaptive approach for precision agriculture monitoring with drone and satellite data. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.
F.N. Murrieta-Rico, Resolution improvement of accelerometers measurement for drones in agricultural applications
P. Tripicchio, M. Satler, Towards smart farming and sustainable agriculture with drones, in 2015 International Conference on Intelligent Environments
M. Reinecke, T. Prinsloo, The influence of drone monitoring on crop health and harvest size, in 1st International Conference on Next Generation Computing Applications (NextComp) (2017)
H.N. Saha, N. Saha, Recent trends in implementation of Internet of Things—A review, in IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2016)
Zhou et al., Mapping paddy rice planting area in rice-wetland coex-istent areas through analysis of Landsat 8 OLI and MODIS images. Int. J. Appl. Earth Obs. Geoinf. 46, 1–12 (2016)
Y. Shao, R.S. Lunetta, B. Wheeler, J.S. Iiames, J.B. Campbell, An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sens. Environ. 174, 258–265 (2016)
A.G. Deepak, Development of an adaptive approach for precision agriculture monitoring with drone and satellite data. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 10(12) (2017)
H. Shakhatreh, A. Sawalmeh, Unmanned aerial vehicles: a survey on civil applications and key research challenges. IEEE Dig. Explore 7, 48572–48634 (2019)
S. Agarwal, D. Singh, An adaptive statistical approach for non-destructive underline crack detection of ceramic tiles using millimeter wave imaging radar for industrial application. IEEE Sensors J. 15(12), 7036–7044 (2015)
P. Patel, Agricultural drones finally cleared for take-off news. IEEE Spectrum 53(11), 13–14 (2016)
T. Pobkrut, T. Eamsa-Ard, T. Kerdcharoen, Sensor drone for aerial odor mapping for agriculture and security services
D. Murugan, A. Garg, T. Ahmed, D. Singh, Fusion of drone and satellite data for precision agriculture monitoring, in Proceedings of 2016 IEEE 11th International Conference on Indian Information System, Dec 2016
M. Podhradsky, C. Coopmans, N. Hoffer, Improving communication security of open source UAVs: encrypting radio control link, in International Conference on Unmanned Aircraft Systems (ICUAS) (IEEE, 2017), pp. 1153–1159
Acknowledgements
Author acknowledges the Department of Ocean Engineering at IISc, Bangalore, for funding support to carry out the project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hajare, R., Mallikarjuna Gowda, C.P., Sanjaya, M.V. (2021). Design and Implementation of Agricultural Drone for Areca Nut Farms. In: Kalya, S., Kulkarni, M., Shivaprakasha, K.S. (eds) Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. Lecture Notes in Electrical Engineering, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-16-0443-0_21
Download citation
DOI: https://doi.org/10.1007/978-981-16-0443-0_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0442-3
Online ISBN: 978-981-16-0443-0
eBook Packages: EngineeringEngineering (R0)