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https://doi.org/10.5513/JCEA01/22.1.3042

Current status and perspective of remote sensing application in crop management

Mladen JURIŠIĆ ; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Department of Agricultural Engineering and Renewable Energy Sources, Vladimira Preloga 1, 31000 Osijek, Croatia
Dorijan RADOČAJ   ORCID icon orcid.org/0000-0002-7151-7862 ; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Department of Agricultural Engineering and Renewable Energy Sources, Vladimira Preloga 1, 31000 Osijek, Croatia
Ante ŠILJEG ; University of Zadar, Department of Geography, Franje Tuđmana 24, 23000 Zadar, Croatia
Oleg ANTONIĆ ; Josip Juraj Strossmayer University of Osijek, Department of Biology, Ulica cara Hadrijana 8/A, 31000 Osijek, Croatia
Tihomir ŽIVIĆ ; Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Department of Bioeconomics and Rural Development, Vladimira Preloga 1, 31000 Osijek, Croatia

Puni tekst: engleski, pdf (715 KB) str. 156-166 preuzimanja: 41* citiraj
APA 6th Edition
JURIŠIĆ, M., RADOČAJ, D., ŠILJEG, A., ANTONIĆ, O. i ŽIVIĆ, T. (2021). Current status and perspective of remote sensing application in crop management. Journal of Central European Agriculture, 22 (1), 156-166. https://doi.org/10.5513/JCEA01/22.1.3042
MLA 8th Edition
JURIŠIĆ, Mladen, et al. "Current status and perspective of remote sensing application in crop management." Journal of Central European Agriculture, vol. 22, br. 1, 2021, str. 156-166. https://doi.org/10.5513/JCEA01/22.1.3042. Citirano 16.10.2021.
Chicago 17th Edition
JURIŠIĆ, Mladen, Dorijan RADOČAJ, Ante ŠILJEG, Oleg ANTONIĆ i Tihomir ŽIVIĆ. "Current status and perspective of remote sensing application in crop management." Journal of Central European Agriculture 22, br. 1 (2021): 156-166. https://doi.org/10.5513/JCEA01/22.1.3042
Harvard
JURIŠIĆ, M., et al. (2021). 'Current status and perspective of remote sensing application in crop management', Journal of Central European Agriculture, 22(1), str. 156-166. https://doi.org/10.5513/JCEA01/22.1.3042
Vancouver
JURIŠIĆ M, RADOČAJ D, ŠILJEG A, ANTONIĆ O, ŽIVIĆ T. Current status and perspective of remote sensing application in crop management. Journal of Central European Agriculture [Internet]. 2021 [pristupljeno 16.10.2021.];22(1):156-166. https://doi.org/10.5513/JCEA01/22.1.3042
IEEE
M. JURIŠIĆ, D. RADOČAJ, A. ŠILJEG, O. ANTONIĆ i T. ŽIVIĆ, "Current status and perspective of remote sensing application in crop management", Journal of Central European Agriculture, vol.22, br. 1, str. 156-166, 2021. [Online]. https://doi.org/10.5513/JCEA01/22.1.3042

Sažetak
Knowledge of the spatial distribution of agricultural crops and crop rotation is necessary for the understanding of the farming practices concerning the long-term sustainability of agricultural production. Agricultural crops are increasingly subject to drought due to the effects of global climate change, and the same is true for Croatia due to the constant rise in mean annual temperatures and uneven rainfall distribution. Remote sensing methods have proven to be superior in the detection and monitoring of drought compared to conventional methods of observation from meteorological stations. Information on the condition of crops in the early stages of development indicates potential irregularities in the development of agricultural crops. The objective of this paper is to provide a perspective for the application of remote sensing in crop management using state-of-the-art methods. Analysis of the possible implementation of these methods in Croatia was performed on a macro- and micro-level. Spatial classification, cropland suitability multicriteria analysis, drought assessment, weed detection and crop density calculation were evaluated according to the necessary equipment and data processing segments. Remote sensing application in crop management offers a potential basis for better crop management both at the macro-level for land use planning and at the micro-level for family farms.

Ključne riječi
machine learning; land suitability; weed detection; unmanned aerial vehicle (UAV); satellite images; variable rate technology

Hrčak ID: 254971

URI
https://hrcak.srce.hr/254971

[hrvatski]

Posjeta: 122 *