Impact of drone technology on agriculture - farmers' perception analysis

Authors

  • R Barathkumar Department of Agricultural and Rural Management, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamil Nadu, India
  • S Selvanayaki Department of Agricultural and Rural Management, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamil Nadu, India https://orcid.org/0000-0002-9463-7170
  • N Deepa Department of Agricultural and Rural Management, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamil Nadu, India https://orcid.org/0000-0001-9461-4043
  • P Kannan Department of Soil Science, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamil Nadu, India https://orcid.org/0000-0001-7003-3535
  • M Prahadeeswaran Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamil Nadu, India https://orcid.org/0000-0002-6175-3984

DOI:

https://doi.org/10.14719/pst.5934

Keywords:

agriculture, farmer perception, precision farming, technology adoption, UAV

Abstract

Unmanned aerial vehicles (UAVs), or drones, are revolutionizing agricultural practices by enhancing precision and efficiency in crop management. This study examines the impact of drone technology on agriculture in Coimbatore district, Tamil Nadu, focusing on farmers' perceptions and the extent of drone adoption. Covering a sample size of 120 farmers, the research explores various aspects of drone usage, including its benefits and challenges. Key advantages include reduced chemical usage, improved crop monitoring, precise irrigation, increased yields and water conservation. Government initiatives like the Kisan Drone program support the adoption of agricultural drones through subsidies and financial aid. However, high initial costs, technical complexity and regulatory barriers limit widespread adoption, particularly among small and marginal farmers. Custom hiring centres and enhanced government support are identified as potential solutions. Statistical methods such as binary logistic regression, propensity score matching and factor analysis are used to analyze adoption patterns and barriers. Findings reveal that drone spraying is the most common application, with higher awareness and adoption rates among educated farmers. The study concludes with recommendations to improve accessibility, reduce costs and expand training programs to benefit farmers across all socioeconomic segments.

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References

Deshmukh SS, Yasodagayathri A, Jalal P. Impact of agripreneurial initiatives of Ministry of Agriculture and Farmers’ Welfare, Government of India on employment generation. National Institute of Agricultural Extension Management, Hyderabad, India. 2023

Nawaz H, Ali HM, Massan S. Applications of unmanned aerial vehicles: a review. Tecnol Glosas InnovaciÓN Apl Pyme Spec. 2019;2019:85–105

Mahadasa R, Surarapu P, Vadiyala VR, Baddam PR. Utilization of agricultural drones in farming by harnessing the power of aerial intelligence. Mal J Med Biol Res. 2020;7(2):135–44

Kumar SP, Subeesh A, Jyoti B, Mehta C. Applications of drones in smart agriculture. In: Pakeerathan K, editors. Smart agriculture for developing nations: status, perspectives and challenges. Singapore: Springer; 2023. p. 33–48. https://doi.org/10.1007/978-981-19-8738-0_3

Bethi SK, Deshmukh SS. Custom hiring centers in Indian agriculture: evolution, impact and future prospects. Asian J Agric Exten, Econ Socio. 2023;41(11):193-203. https://doi.org/10.9734/ajaees/2023/v41i112276

Adekoya F, Jimoh S, Ogunsola A, Aminu R, Azeez A, Precision IA, editors. Farmers'perception and willingness to adopt drone technology in agriculture in Nigeria. 2nd African Conference on Precision Agriculture (AfCPA); 2022

Singh P, Singh P. Drones in Indian agriculture: trends, challenges and policy implications. New Delhi: Indian Chamber of Food and Agriculture; 2023. p. 1-28. https://doi.org/10.13140/RG.2.2.29651.35366/2

Puppala H, Peddinti PR, Tamvada JP, Ahuja J, Kim B. Barriers to the adoption of new technologies in rural areas: The case of unmanned aerial vehicles for precision agriculture in India. Technology in Society. 2023;74:102335. https://doi.org/10.1016/j.techsoc.2023.102335

Ahirwar S, Swarnkar R, Bhukya S, Namwade G. Application of drone in agriculture. International Journal of Current Microbiology and Applied Sciences. 2019;8(01):2500-5

Castle MH, Lubben BD, Luck JD. Factors influencing the adoption of precision agriculture technologies by Nebraska producers. 2016. Available from: http://digitalcommons.unl.edu/ageconworkpap/49

Sundar C, Asokhan M, Karthikeyan C. Adoption of Drones in Agriculture: Social, Economic and Personal Factors. Int J Environ Climate Change. 2023;13(8):587-97 https://doi.org/10.9734/ijecc/2023/v13i81987

Pivoto D, Barham B, Waquil PD, Foguesatto CR, Corte VFD, Zhang D, et al. Factors influencing the adoption of smart farming by Brazilian grain farmers. Int Food and Agribusiness Manage Rev. 2019;22(4):571-88. https://doi.org/10.22434/ifamr2018.0086

Suwandej N, Meethongjan K, Loewen J, Vaiyavuth R. The efficiency of using drones to reduce farming costs and yields. J Pos School Psychol. 2022:1412-24

Prabhu SS, Kumar AV, Murugesan R, Saha J, Dasgupta I. Adoption of precision agriculture by detecting and spraying herbicide using UAV. Basrah J Agric Sci. 2021;34:21-33

Raj A, Sah B. Analyzing critical success factors for implementation of drones in the logistics sector using grey-DEMATEL based approach. Computers Indus Engin. 2019;138:106118. https://doi.org/10.1016/j.cie.2019.106118

Zuo A, Wheeler SA, Sun H. Flying over the farm: understanding drone adoption by Australian irrigators. Precision Agric. 2021;22(6):1973-91

Da Silveira F, Lermen FH, Amaral FG. An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages and disadvantages. Comp Elec Agric. 2021;189:106405

Freeman PK, Freeland RS. Agricultural UAVs in the US: potential, policy and hype. Remote Sens App. 2015;2:35-43. https://doi.org/10.1016/j.rsase.2015.10.002

Pathak H, Kumar G, Mohapatra S, Gaikwad B, Rane J. Use of drones in agriculture: Potentials, Problems and Policy Needs. ICAR-Nat Ins Abio Stress Manage. 2020;300:4-15.

Bajaj A, Philips B, Lyons E, Westbrook D, Zink M, editors. Determining and Communicating Weather Risk in The New Drone Economy, 2020 IEEE 92nd Vehicular Technology Conference, Victoria, BC, Canada, 2020, pp. 1-6. https://doi.org/10.1109/VTC2020-Fall49728.2020.9348845

Nazarov D, Nazarov A, Kulikova E. Drones in agriculture: Analysis of different countries BIO Web of Conferences. 2023; 67:02029. https://doi.org/10.1051/bioconf/20236702029

Published

31-12-2024

How to Cite

1.
Barathkumar R, Selvanayaki S, Deepa N, Kannan P, Prahadeeswaran M. Impact of drone technology on agriculture - farmers’ perception analysis. Plant Sci. Today [Internet]. 2024 Dec. 31 [cited 2025 Jan. 9];11(sp4). Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/5934

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