research-article

IDeA: IoT-Based Autonomous Aerial Demarcation and Path Planning for Precision Agriculture with UAVs

Authors:

Debarpan Bhattacharya,

Anandarup MukherjeeAuthors Info & Claims

ACM Transactions on Internet of Things, Volume 1, Issue 3

Article No.: 16, Pages 1 - 21

https://doi.org/10.1145/3379930

Published: 01 June 2020 Publication History

Abstract

In this work, we propose an autonomous and onboard image-based agricultural land demarcation and path-planning system—IDeA (IoT-Based Autonomous Aerial Demarcation and Path Planning for Precision Agriculture) with Unmanned Aerial Vehicles (UAVs)—using our advanced UAV-based aerial IoT platform. Our work successfully addresses the problem of onboard and autonomous path planning—which conventional UAV-based systems are not capable of—during stand-alone operations and without preloaded Global Positioning SYstem (GPS) markers for flight path waypoints. Our aerial system visually identifies non-electronically and singularly tagged agricultural plots and assesses the enclosing boundaries of the identified plot. Subsequently, an onboard path planning module autonomously generates GPS waypoints for traversing the identified plot with minimal overlaps and maximal coverage. Our proposed system exhibits an area coverage efficiency of 95.39%, performs pixel-to-GPS coordinate conversion with an accuracy of 90.35%, and has high agricultural potential in applications such as surveying crop health conditions and spraying pesticide/herbicides. The proposed system has massive applications in scenarios requiring aerial detection, demarcation, geographical tagging, and coverage of an area.

References

[1]

B. H. Y. Alsalam, K. Morton, D. Campbell, and F. Gonzalez. 2017. Autonomous UAV with vision based on-board decision making for remote sensing and precision agriculture. In Proceedings of the IEEE Aerospace Conference. 1--12.

[2]

J. F. Araujo, P. B. Sujit, and J. B. Sousa. 2013. Multiple UAV area decomposition and coverage. In Proceedings of the IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA’13). 30--37.

[3]

E. Christy, R. P. Astuti, B. Syihabuddin, B. Narottama, O. Rhesa, and F. Rachmawati. 2017. Optimum UAV flying path for device-to-device communications in disaster area. In Proceedings of the IEEE International Conference on Signals and Systems (ICSigSys’17). 318--322.

[4]

S. Crommelinck, R. Bennett, M. Gerke, M. Y. Yang, and G. Vosselman. 2017. Contour detection for UAV-based cadastral mapping. Remote Sensing 9 (2017), 171.

[5]

O. Esrafilian and D. Gesbert. 2017. 3D city map reconstruction from UAV-based radio measurements. In Proceedings of the IEEE Global Communications Conference. 1--6.

[6]

B. S. Faiçal, F. G. Costa, G. Pessin, J. Ueyama, H. Freitas, A. Colombo, P. H. Fini, et al. 2014. The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides. Journal of Systems Architecture 60, 4 (2014), 393--404.

[7]

B. S. Faical, J. Ueyama, and A. C. de Carvalho. 2016. The use of autonomous UAVs to improve pesticide application in crop fields. In Proceedings of the 17th IEEE International Conference on Mobile Data Management (MDM’16), Vol. 2. 32--33.

[8]

A. Habib, W. Xiong, F. He, H. L. Yang, and M. Crawford. 2017. Improving orthorectification of UAV-based push-broom scanner imagery using derived orthophotos from frame cameras. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, 1 (2017), 262--276.

[9]

F. M. Hassan, M. Z. M. Jafri, and H. S. Lim. 2011. Contextual classification of Cropcam UAV high resolution images using frequency-based approach for land use/land cover mapping case study: Penang Island. In Proceedings of the IEEE Symposium on Industrial Electronics and Applications. IEEE, Los Alamitos, CA, 663--668.

[10]

Y. S. Jiao, X. M. Wang, H. Chen, and Y. Li. 2010. Research on the coverage path planning of UAVs for polygon areas. In Proceedings of the 5th IEEE Conference on Industrial Electronics and Applications (ICIEA’10). 1467--1472.

[11]

W. Li, H. Yuan, and L. Song. 2016. Prediction of wheat gains with imagery from four-rotor UAV. In Proceedings of the 2nd IEEE International Conference on Computer and Communications (ICCC’16). 662--665.

[12]

H. Liang, W. Li, Q. Zhang, W. Zhu, D. Chen, J. Liu, and T. Shu. 2017. Using unmanned aerial vehicle data to assess the three-dimension green quantity of urban green space: A case study in Shanghai, China. Landscape and Urban Planning 164 (2017), 81--90.

[13]

M. F. Misnan, N. H. M. Arshad, R. L. A. Shauri, N. A. Razak, N. M. Thamrin, and S. F. Mahmud. 2013. Real-time vision based sensor implementation on unmanned aerial vehicle for features detection technique of low altitude mapping. In Proceedings of the IEEE Conference on Systems, Process, and Control (ICSPC’13). 289--294.

[14]

R. Mukundan and K. R. Ramakrishan. 1998. Moment Functions in Image Analysis: Theory and Applications. World Scientific Publishing, Hackensack NJ.

[15]

S. A. Ramadhani, R. M. Bennett, and F. C. Nex. 2018. Exploring UAV in Indonesian cadastral boundary data acquisition. Earth Science Informatics 11, 1 (2018), 129--146.

[16]

T. T. Sankey, J. McVay, T. L. Swetnam, M. P. McClaran, P. Heilman, M. Nichols, N. Pettorelli, and N. Horning. 2017. UAV hyperspectral and lidar data and their fusion for arid and semi-arid land vegetation monitoring. Remote Sensing in Ecology and Conservation 4, 1 (2017), 20--33.

[17]

D. Stroppiana, M. Migliazzi, V. Chiarabini, A. Crema, M. Musanti, C. Franchino, and P. Villa. 2015. Rice yield estimation using multispectral data from UAV: A preliminary experiment in northern Italy. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS’15). 4664--4667.

[18]

J. Wijitdechakul, S. Sasaki, Y. Kiyoki, and C. Koopipat. 2016. UAV-based multispectral image analysis system with semantic computing for agricultural health conditions monitoring and real-time management. In Proceedings of the IEEE International Electronics Symposium (IES’16). 459--464.

Cited By

Vélez SMier GAriza-Sentís MValente J(2025)Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environmentCrop Protection10.1016/j.cropro.2024.106992187(106992)Online publication date: Jan-2025
https://doi.org/10.1016/j.cropro.2024.106992
Boubrima AShaikhanov ZKnightly E(2024)Toward Accurate Environmental Mapping using Balloon-based UAVs2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51664.2024.10454723(135-142)Online publication date: 6-Jan-2024
https://doi.org/10.1109/CCNC51664.2024.10454723
Cetinsaya BReiners DCruz-Neira C(2024)From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)Swarm and Evolutionary Computation10.1016/j.swevo.2024.10162689(101626)Online publication date: Aug-2024
https://doi.org/10.1016/j.swevo.2024.101626
Show More Cited By

Index Terms

Recommendations

Visual Track System Applied in Quadrotor Aerial Robot
ICDMA '12: Proceedings of the 2012 Third International Conference on Digital Manufacturing & Automation

Unmanned aerial vehicle (UAV) had developed for many years, with quad-rotor vertical take-off and landing (VTOL) unmanned aerial vehicle developing fastest. The equations of its flight attitude have been derived and verified by some scholars. Up to now, ...
Drones and Privacy

Drones, also referred to as UAV's Unmanned Aerial Vehicle, are an aircraft without a human pilot. Drones have been used by various military organisations for over a decade, but in recent years drones a have been emerging more and more in commercial and ...
Strawberry canopy structural parameters estimation and growth analysis from UAV multispectral imagery using a geospatial tool
Highlights
- A geospatial tool for automatic strawberry canopy delineation and structural parameter estimation.
- Multi-temporal UAV image analysis for strawberry plant canopy phenotyping studies.
- Comparison of growth curves and rates of various ...
Abstract
In recent years, unmanned aerial vehicle (UAV) remote sensing platforms equipped with various sensors have been widely used for fast, non-destructive, and high-throughput plant phenotyping studies. However, monitoring the growth of bush crops ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Internet of Things

ACM Transactions on Internet of Things Volume 1, Issue 3

August 2020

187 pages

EISSN:2577-6207

DOI:10.1145/3403648

Editors:
Schahram Dustdar
TU Wien, Austria
,
Gian Pietro Picco
University of Trento, Italy

Issue’s Table of Contents

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 01 June 2020

Online AM: 07 May 2020

Accepted: 01 January 2020

Revised: 01 September 2019

Received: 01 April 2019

Published in TIOT Volume 1, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
525
Total Downloads

Downloads (Last 12 months)45
Downloads (Last 6 weeks)6

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Vélez SMier GAriza-Sentís MValente J(2025)Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environmentCrop Protection10.1016/j.cropro.2024.106992187(106992)Online publication date: Jan-2025
https://doi.org/10.1016/j.cropro.2024.106992
Boubrima AShaikhanov ZKnightly E(2024)Toward Accurate Environmental Mapping using Balloon-based UAVs2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51664.2024.10454723(135-142)Online publication date: 6-Jan-2024
https://doi.org/10.1109/CCNC51664.2024.10454723
Cetinsaya BReiners DCruz-Neira C(2024)From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)Swarm and Evolutionary Computation10.1016/j.swevo.2024.10162689(101626)Online publication date: Aug-2024
https://doi.org/10.1016/j.swevo.2024.101626
Singh DKumar AChauhan M(2024)Smart Fields, Smart Yields: Technologies Driving Precision Agriculture Revolution a SurveyEmerging Trends in Expert Applications and Security10.1007/978-981-97-3991-2_15(169-177)Online publication date: 16-Sep-2024
https://doi.org/10.1007/978-981-97-3991-2_15
Patrinopoulou NLappas VDaramouskas IMeimetis DKostopoulos V(2023)Autonomy in UAV Civilian ApplicationsAutonomous Vehicles - Applications and Perspectives10.5772/intechopen.1001969Online publication date: 31-Jul-2023
https://doi.org/10.5772/intechopen.1001969
Garg GGupta SMishra PVidyarthi ASingh AAli A(2023)CROPCARE: An Intelligent Real-Time Sustainable IoT System for Crop Disease Detection Using Mobile VisionIEEE Internet of Things Journal10.1109/JIOT.2021.310901910:4(2840-2851)Online publication date: 15-Feb-2023
https://doi.org/10.1109/JIOT.2021.3109019
Saraswat DBhattacharya PSingh AVerma ATanwar SKumar N(2022)Secure 5G-Assisted UAV Access Scheme in IoBT for Region Demarcation and Surveillance OperationsIEEE Communications Standards Magazine10.1109/MCOMSTD.0001.21000576:1(58-66)Online publication date: Mar-2022
https://doi.org/10.1109/MCOMSTD.0001.2100057
Boubrima AKnightly E(2021)Robust Environmental Sensing Using UAVsACM Transactions on Internet of Things10.1145/34649432:4(1-20)Online publication date: 15-Jul-2021
https://dl.acm.org/doi/10.1145/3464943
Gao GZhu DLu HYu YChang HYue D(2021)Robust Facial Image Super-Resolution by Kernel Locality-Constrained Coupled-Layer RegressionACM Transactions on Internet Technology10.1145/341846221:3(1-15)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3418462
Bansal GSikdar B(2021)A Secure and Efficient Mutual Authentication Protocol Framework for Unmanned Aerial Vehicles2021 IEEE Globecom Workshops (GC Wkshps)10.1109/GCWkshps52748.2021.9682006(1-6)Online publication date: Dec-2021
https://doi.org/10.1109/GCWkshps52748.2021.9682006

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Issue’s Table of Contents