KFU. Card publication. Deep Learning and Remote Sensing for Restoring Abandoned Agricultural Lands in the Middle Volga (Russia)

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

DEEP LEARNING AND REMOTE SENSING FOR RESTORING ABANDONED AGRICULTURAL LANDS IN THE MIDDLE VOLGA (RUSSIA)

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Gafurov Artur Maratovich, author

Ivanov Maksim Andreevich, author

Bibliographic description in the original language

Gafurov A, Ivanov M., Deep Learning and Remote Sensing for Restoring Abandoned Agricultural Lands in the Middle Volga (Russia)//Land. - 2024. - Vol.13, Is.12. - Art. �2054.

Keywords

abandoned lands; Middle Volga region; semantic segmentation; deep learning; remote sensing; vision transformer; land reclamation; agricultural turnover

The name of the journal

Land

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213285916&doi=10.3390%2fland13122054&partnerID=40&md5=76b20b99b9b498ea15c758f05531dab5

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=311411&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafurov Artur Maratovich	ru_RU
dc.contributor.author	Ivanov Maksim Andreevich	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Gafurov A, Ivanov M., Deep Learning and Remote Sensing for Restoring Abandoned Agricultural Lands in the Middle Volga (Russia)//Land. - 2024. - Vol.13, Is.12. - Art. �2054.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=311411&p_lang=2	ru_RU
dc.description.abstract	Land	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Deep Learning and Remote Sensing for Restoring Abandoned Agricultural Lands in the Middle Volga (Russia)	ru_RU
dc.type	Articles in international journals and collections	ru_RU