Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001135900/Similar |
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| Ostali autori: | Institut Ruđer Bošković (Zagreb) (Contributor) |
| Ostali autori: | Radočaj, Dorijan (Dissertant), Jurišić, Mladen (Thesis advisor), Antonić, Oleg |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Osijek,
2022.
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| Predmet: |
APA stil citiranja
Radočaj, D., Jurišić, M., & Antonić, O. (2022). Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning: Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning : Ph. D. thesis. Osijek.
Chicago stil citiranjaRadočaj, Dorijan, Mladen Jurišić, and Oleg Antonić. Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning: Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning : Ph. D. thesis. Osijek, 2022.
MLA stil citiranjaRadočaj, Dorijan, Mladen Jurišić, and Oleg Antonić. Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning: Agroecological and pedological modeling of cropland suitability for soybean cultivation by integrating satellite remote sensing data and machine learning : Ph. D. thesis. Osijek, 2022.