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The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning
Poljoprivreda, 28 (2022), 1; 53-59. https://doi.org/10.18047/poljo.28.1.8
Radočaj, Dorijan; Vinković, Tomislav; Jurišić, Mladen; Gašparović, Mateo

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Radočaj, D., Vinković, T., Jurišić, M. i Gašparović, M. (2022). The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning. Poljoprivreda, 28. (1), 53-59. doi: 10.18047/poljo.28.1.8

Radočaj, Dorijan, et al. "The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning." Poljoprivreda, vol. 28, br. 1, 2022, str. 53-59. https://doi.org/10.18047/poljo.28.1.8

Radočaj, Dorijan, Tomislav Vinković, Mladen Jurišić i Mateo Gašparović. "The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning." Poljoprivreda 28, br. 1 (2022): 53-59. https://doi.org/10.18047/poljo.28.1.8

Radočaj, D., et al. (2022) 'The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning', Poljoprivreda, 28(1), str. 53-59. doi: 10.18047/poljo.28.1.8

Radočaj D, Vinković T, Jurišić M, Gašparović M. The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning. Poljoprivreda [Internet]. 30.06.2022. [pristupljeno 22.11.2024.];28(1):53-59. doi: 10.18047/poljo.28.1.8

D. Radočaj, T. Vinković, M. Jurišić i M. Gašparović, "The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning", Poljoprivreda, vol. 28, br. 1, str. 53-59, Lipanj 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:151:473165. [Citirano: 22.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:151:473165
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Podaci o radu
Naslov (engleski)The Relationship of Environmental Factors and the Cropland Suitability Levels for Soybean Cultivation Determined by Machine Learning
AutorDorijan Radočaj
AutorTomislav Vinković
AutorMladen Jurišić
AutorMateo Gašparović
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet agrobiotehničkih znanosti Osijek
(Zavod za poljoprivrednu tehniku i obnovljive izvore energije)
Znanstveno / umjetničko
područje, polje i grana		BIOTEHNIČKE ZNANOSTI
Poljoprivreda (agronomija)
Poljoprivredna tehnika i tehnologija
Sažetak (engleski)
The relationship between cropland suitability and the surrounding environmental factors has an important role in understanding and adjusting agricultural land management systems to natural cropland suitability. In this study, the relationship between soybean cropland suitability, determined by a novel machine learningbased approach, and three major environmental factors in continental Croatia was evaluated. These constituted of two major land cover classes (forests and urban areas), utilized soybean growth seasons per agricultural parcels during a 2017–2020 study period and soil types. The sensitivity analysis in geographic information system (GIS) using a raster overlay method, along with auxiliary spatial processing, was performed. The proximity of soybean agricultural parcels to forests showed a high correlation with suitability values, indicating a potential benefit of implementing agroforestry in land management plans. A notable amount of suitable agricultural parcels for soybean cultivation, which were previously not utilized for soybean cultivation was observed. A disregard of crop rotations was also noted, with the same soybean parcels within the study period in three and four years. This analysis showed considerable potential in understanding the effects of environmental factors on cropland suitability values, leading to more efficient land
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - domaća recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaPoljoprivreda
Brojčani podacivol. 28, br. 1, str. 53-59
p-ISSN1330-7142
e-ISSN1848-8080
DOIhttps://doi.org/10.18047/poljo.28.1.8
URN:NBNurn:nbn:hr:151:473165
Datum objave publikacije2022-06-30
URL dokumentahttps://hrcak.srce.hr/file/405680
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-05-07 12:07:32