Drone Use in Agricultural Spraying: An Examination in Terms of Occupational Health and Safety
DOI:
https://doi.org/10.24925/turjaf.v13i3.664-668.7230Anahtar Kelimeler:
Agriculture- Drone spraying- Occupational health and safety- Hazard and risk- TechnologyÖzet
One of the cornerstones of a developed economy is undoubtedly the agricultural sector. Agriculture is at the center of both human nutrition and economic activities. The use of drones, especially in the process of spraying fields, has the potential to increase the efficiency of agricultural production. Drones can be programmed to scan the field and spray pesticides on these areas. This allows farmers to manage the processes of protecting their crops and removing pests more effectively. Spraying with drones minimizes the negative effects encountered in spraying with tractor-drawn machines. Drones can easily reach places that tractor-drawn machine cannot reach and can spray more precisely. In addition, thanks to drones, the need for labor is also reduced, so that one person can spray a large area in a short time. In this study, the process of spraying with drones was observed in detail by a company with an unmanned aerial vehicle-2 (UAV) license for agricultural spraying. This modern spraying method using drones was meticulously evaluated step by step. In traditional methods, farmers or workers may be directly exposed to pesticides while spraying with tractor-drawn machines, but thanks to drones, this exposure is minimized, which provides a great advantage in terms of occupational health and safety (OHS). In addition, the speed of the work process, less use of water and pesticides, and the need for labor are among the advantages. However, the problem of not being able to connect to GPS, accidents that may occur under the command of the drone, and limitations such as adverse weather conditions can be considered disadvantages of drone spraying. The findings reveal how drone spraying has transformed agriculture.
Referanslar
Ahirwar, S., Swarnkar, R., Bhukya, S., & Namwade, G. (2019). Application of drone in agriculture. International Journal of Current Microbiology and Applied Sciences, 8(01), 2500-2505.
Anonymous (a), (2024). Agricultural Drone models.
Anonymous (b), (2024). DJI Agras T30 Technical Specifications.
Avdan, U., Şenkal, E., Cömert, R., & Tuncer, S. (2014). The accuracy analysis of data which generated by unmanned aerial vehicle. V. Remote Sensing and Geographic Information Systems Symposium (UZAL-CBS 2014), (14- 17 Ekim 2014), İstanbul.
Campbell, D. A. (2018). Drones, machetes, and virtual reality: 21st-century tools for historic preservation. 3rd Digital Heritage International Congress (DigitalHERITAGE) Held Jointly with 2018 24th International Conference on Virtual Systems & Multimedia (VSMM 2018).pp.1-4. San Francisko, CA, USA. doi: 10.1109/DigitalHeritage.2018.8810111
Emimi, M., Khaleel, M., & Alkrash, A. (2023). The current opportunities and challenges in drone technology. Int. J. Electr. Eng. and Sustain., 74-89.
Ergunşah, Ş., & Koşunalp, S. (2022). İnsansız hava araçları tabanlı çevresel uygulamalara genel bir bakış. International Journal of Management Information Systems and Computer Science, 6(1), 43-53.
Ge, X., Wang, J., Ding, J., Cao, X., Zhang, Z., Liu, J., & Li, X. (2019). Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring. Peer J. 7: e6926 DOI 10.7717/peerj.6926.
Jain, S., Bhujel, S., Shrivastava, U., Mohapatra, A., & Mishra, G. (2023). Advancements in drone technology for fruit crop management: A comprehensive review. International Journal of Environment and Climate Change, 13(11), 4367-4378.
Kalamkar, R. B., Ahire, M. C., Ghadge, P. A., Dhenge, S. A., & Anarase, M. S. (2020). Drone and its applications in agriculture. International Journal of Current Microbiology and Applied Sciences, 9(6), 3022-3026.
Mahajan, S., Darodkar, A., Dahake, P., & Bahl, L. (2023, April). Review on pesticides spraying agricultural drone. In AIP Conference Proceedings (Vol. 2753, No. 1). AIP Publishing.
Meesaragandla, S., Jagtap, M. P., Khatri, N., Madan, H., & Vadduri, A. A. (2024). Herbicide spraying and weed identification using drone technology in modern farms: A comprehensive review. Results in Engineering, 101870.
Mogili, U. R., & Deepak, B. B. V. L. (2018). Review on application of drone systems in precision agriculture. Procedia computer science, 133, 502-509.
Navia, J., Mondragon, I., Patino, D., & Colorado, J. (2016). Multispectral mapping in agriculture: Terrain mosaic using an autonomous quadcopter UAV. In 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1351-1358). IEEE.
Özgüven, M. M., Altaş, Z., Güven, D., & Çam, A. (2022). Use of drones in agriculture and its future. Ordu Univ. J. Sci. Tech., 12(1), 64-83.
Prosekov, A. Y., & Ivanova, S. A. (2018). Food security: The challenge of the present. Geoforum, 91, 73–77.
Puri, V., Nayyar, A., & Raja, L. (2017). Agriculture drones: A modern breakthrough in precision agriculture. Journal of Statistics and Management Systems, 20(4), 507-518.
Sahni, R. K., Kumar, S. P., Thorat, D., Rajwade, Y., Jyoti, B., Ranjan, J., & Anand, R. (2024). Drone spraying system for efficient agrochemical application in precision agriculture. In Applications of Computer Vision and Drone Technology in Agriculture 4.0 (pp. 225-244). Singapore: Springer Nature Singapore.
Shahrooz, M., Talaeizadeh, A., & Alasty, A. (2020). Agricultural spraying drones: advantages and disadvantages, 2020 Virtual Symposium in Plant Omics Sciences (OMICAS), Bogotá, Colombia, 2020, pp. 1-5.
Topal, R.Ş. (2010). Responsibilities of agricultural industry towards the society. Trakya University Journal of Social Science. 12(1), 1-31.
Wang, L., & Zhang, Z. (2017). Automatic detection of wind turbine blade surface cracks based on UAV-taken images. IEEE Transactions on Industrial Electronics, 64(9), 7293-7303.
Yıldırım, A. & Şimşek, H. (2005). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin publishing. Ankara.
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