Agri-Drones for Field Surveillance

Main Article Content

Vikas Kumar Kumawat
Laxmi Dulawat
Shivam Verma

Abstract

The international agricultural panorama is witnessing a paradigm shift propelled via the mixing of unmanned aerial automobiles, colloquially known as Agri-drones. This research paper affords an exhaustive examination of the technological sides, packages, and capability ramifications of Agri-drones within the area of area surveillance in the agricultural quarter. With the world's populace burgeoning, the need for innovative solutions in agriculture has become vital, and Agri-drones are rising as pivotal tools on this transformative journey.


Agri-drones encompass diverse unmanned aerial vehicle (UAV) platforms, starting from fixed-wing to multirotor and hybrid designs. Each platform well-known shows particular advantages and boundaries, influencing their suitability for numerous agricultural responsibilities. Technological capabilities, such as superior sensors and imaging technologies along with multispectral, hyperspectral, and thermal cameras, play a vital role in information series and evaluation. These abilities empower farmers and researchers with actual-time insights into crop health, boom styles, and potential stressors.


The programs of Agri-drones in area surveillance are multifaceted. Crop monitoring, facilitated by Agri-drones, permits assessment of crop health, prediction of yields, and monitoring of growth dynamics. The early detection of pests and diseases is some other substantial application, main to focused interventions and reduced reliance on chemical inputs. Agri-drones contribute to soil analysis by mapping and studying soil fitness, nutrient levels, and moisture content. Additionally, they play a pivotal function in water management, assessing irrigation wishes, detecting water stress in plants, and optimizing water utilization.


The impact of Agri-drones extends past mere surveillance, revolutionizing farm management practices. The adoption of Agridrones enhances performance and cost-effectiveness via lowering hard work necessities and optimizing aid utilization. Moreover, the generation contributes to sustainability via minimizing chemical usage, reducing the environmental impact of farming practices, and selling normal eco-friendly agricultural operations.


Despite the promise of Agri-drones, challenges exist, ranging from technical barriers which includes battery lifestyles to regulatory issues governing their operation. The paper delves into these demanding situations and emphasizes the need for standardized suggestions to make certain the responsible and safe deployment of Agri-drones in agriculture.


Looking ahead, the future potentialities of Agri-drones are promising. Anticipated technological improvements encompass the mixing of synthetic intelligence, swarm generation, and progressed sensor skills. The seamless integration of Agri-drones with present precision agriculture structures is foreseen, creating a holistic approach to farm management. Collaboration amongst stakeholders, inclusive of drone producers, farmers, researchers, and regulatory bodies, is deemed critical for fostering accountable and effective adoption.


In conclusion, Agri-drones constitute a transformative pressure in agriculture, redefining discipline surveillance and farm management practices. This studies paper gives a comprehensive evaluate of the present-day state of Agri-drones, highlighting their potential to deal with the evolving demanding situations in international agriculture even as paving the way for sustainable and efficient farming practices.

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Article Details

How to Cite
Kumawat, V. K. ., Dulawat, L. ., & Verma, S. (2020). Agri-Drones for Field Surveillance. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(1), 1105–1111. https://doi.org/10.61841/turcomat.v11i1.14409
Section
Research Articles

References

Aditya SN, Kulkarni SC. Adoption and Utilization of Drones for Advanced Precision Farming: A Review.

International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169.

;4(5):563-565.

Altas Z, Ozguven MM, Yanar Y. Determination of Sugar Beet Leaf Spot Disease Level (Cercospora beticola

Sacc.) with Image Processig Technique By Using Drone. Curr. Investig. Agric. Curr. Res. 2018;5:621-631.

Colomina I, Molina P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS

Journal of Photogrammetry and Remote Sensing. 2014;92:79-97.

Dash JP, Watt MS, Pearse GD, Heaphy M, Dungey HS. Assessing Very High-Resolution UAV Imagery for

Monitoring forest Health during a Simulated Disease Outbreak. ISPRS J Photogramm. Remote Sens. 2017;131:1-

Dash JP, Pearse GD, Watt MS. UAV Multispectral Imagery Can Complement Satellite Data for Monitoring

forest Health. Remote Sens. 2018;10:1216.

Gerard S. E-agriculture in action: drones for agriculture. Published by Food and Agriculture Organization of the

United Nations and International Telecommunication Union, Bangkok; c2018. p. 1-105.

Huang Y, Reddy KN, Fletcher RS, Pennington D. UAV Low-Altitude Remote Sensing for Precision Weed

Management. Weed Technol. 2018;32:2-6.

Johnson AA. McCook Field 1917–1927. Landfall Press. ISBN 0-913428-84-1; c2002.

Kedari S, Lohagaonkar P, Nimbokar M, Palve G, Yevale P. Quadcopter-A Smarter Way of Pesticide Spraying.

Imperial Journal of Interdisciplinary Research. 2016;2(6):1257-1260.

Kurkute SR, Deore BD, Kasar P, Bhamare M, Sahane M. Drones for smart agriculture: A technical report.

International Journal for Research in Applied Science and Engineering Technology. 2018;6(4):341- 346.

Malenovsky Z, Lucieer A, King DH, Turnbull JD, Robinson SA. Unmanned Aircraft System Advances Health

Mapping of Fragile Polar Vegetation. Methods Ecol. Evol. 2017;8:1842-1857.

R. K. Kaushik Anjali and D. Sharma, "Analyzing the Effect of Partial Shading on Performance of Grid

Connected Solar PV System", 2018 3rd International Conference and Workshops on Recent Advances and

Innovations in Engineering (ICRAIE), pp. 1-4, 2018

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