Suleymanov, R.; Yurkevich, M.; Bakhmet, O.; Popova, T.; Kungurtsev, A.; Zakirov, D.; Vittsenko, A.; Mishra, G.; Suleymanov, A.
Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems. Land 2025, 14, 1881.
https://doi.org/10.3390/land14091881
AMA Style
Suleymanov R, Yurkevich M, Bakhmet O, Popova T, Kungurtsev A, Zakirov D, Vittsenko A, Mishra G, Suleymanov A.
Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems. Land. 2025; 14(9):1881.
https://doi.org/10.3390/land14091881
Chicago/Turabian Style
Suleymanov, Ruslan, Marija Yurkevich, Olga Bakhmet, Tatiana Popova, Andrey Kungurtsev, Denis Zakirov, Anastasia Vittsenko, Gaurav Mishra, and Azamat Suleymanov.
2025. "Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems" Land 14, no. 9: 1881.
https://doi.org/10.3390/land14091881
APA Style
Suleymanov, R., Yurkevich, M., Bakhmet, O., Popova, T., Kungurtsev, A., Zakirov, D., Vittsenko, A., Mishra, G., & Suleymanov, A.
(2025). Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems. Land, 14(9), 1881.
https://doi.org/10.3390/land14091881