RISK ANALYSIS FOR APPLE ORCHARD SURVEY AND MONITORING USING UAV
DOI:
https://doi.org/10.17770/etr2023vol1.7234Keywords:
decision-making, risk analysis, unmanned aerial vehicle, security, SORAAbstract
Risk analysis is an integral part of modern business management because successful business largely depends on the effective implementation of risk analysis. Agriculture is an important sector in the national economy, therefore Industry 4.0 increasingly provides digital solutions in orchard management, which facilitate and simplify decision-making in daily tasks. Meanwhile, unmanned aerial vehicles are applied as the agriculture sector's main monitoring and data acquisition tool. However, this means that it is necessary to pay attention to risk analysis due to the process of managing the orchard, where not only a person and the mechanized equipment controlled by him, which moves on the ground but also flying automated equipment participates. The purpose of the article is to perform the risk analysis for the survey and monitoring of orchards for yield estimation using unmanned aerial vehicles by considering commercial apple orchards in Latvia. The main thing is that most risks are predictable, but planning is necessary to reduce the probability of their occurrence.
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References
European Union Aviation Safety Agency, “Specific Operations Risk Assessment (SORA),” European Union Aviation Safety Agency, 2023. [Online]. Available: https://www.easa.europa.eu/en/domains/civil-drones-rpas/specific-category-civil-drones/specific-operations-risk-assessment-sora [Accessed: March 1, 2023].
M. Garcia, I. Maza, A. Ollero, D. Gutierrez, I. Aguirre, and A. Viguria, “Release of Sterile Mosquitoes with Drones in Urban and Rural Environments under the European Drone Regulation,” Applied Sciences, vol. 12, no. 3, p. 1250, January 2022, doi: 10.3390/app12031250
F. den Braber, I. Hogganvik, M. S. Lund, K. Stølen, F. Vraalsen, “Model-based security analysis in seven steps – a guided tour to the CORAS method,” BT Technology Journal, vol. 25, no. 1, p. 101-117, January 2007, doi: 10.1007/s10550-007-0013-9
C. Zhang, J. Valente, L. Kooistra, L. Guo, W. Wang, “Opportunities of uavs in orchard management. The International Archives of Photogrammetry,” The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 42, p. 673-680, June 2019, doi: 10.5194/isprs-archives-XLII-2-W13-673-2019
D. Katikaridis, V. Moysiadis, N. Tsolakis, P. Busato, D. Kateris, S. Pearson, C.G. Sørensen, D. Bochtis, “UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments,” Agronomy, vol. 12, no. 8, p. 1937, August 2022, doi: 10.3390/agronomy12081937
L. Yang, J. Qi, D. Song, J. Xiao, J. Han, Y. Xia, “Survey of robot 3D path planning algorithms,” Journal of Control Science and Engineering, Vol. 2016, Article ID 7426913, 22 pages 2016, doi: 10.1155/2016/7426913
C. Zhang, J. Valente, L. Kooistra, L. Guo, W. Wang, “Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches,” Precision Agriculture, vol. 22, no. 6, p. 2007-2052, May 2021, doi: 10.1007/s11119-021-09813-y
A. Kobaszyńska-Twardowska, J. Łukasiewicz, and P. W. Sielicki, “Risk Management Model for Unmanned Aerial Vehicles during Flight Operations,” Materials, vol. 15, no. 7, p. 2448, March 202, doi: 10.3390/ma15072448
G. Wu, K. Zhao, J. Cheng, and M. Ma, “A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search,” Sensors, vol. 22, no. 10, p. 3702, May 2022, doi: 10.3390/s22103702
