KFU. Card publication. Automated Mapping of Cropland Boundaries Using Deep Neural Networks

AUTOMATED MAPPING OF CROPLAND BOUNDARIES USING DEEP NEURAL NETWORKS

Form of presentation

Articles in international journals and collections

Year of publication

2023

Язык

английский

Authors, employees of KFU

Gafurov Artur Maratovich, author

Bibliographic description in the original language

Gafurov A., Automated Mapping of Cropland Boundaries Using Deep Neural Networks//AgriEngineering. - 2023. - Vol.5, Is.3. - P.1568-1580.

Keywords

remote sensing imagery, neural network, arable land boundaries, Sentinel 2 images, geospatial data, machine learning

The name of the journal

AgriEngineering

URL

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

Field DC	Value	Language
dc.contributor.author	Gafurov Artur Maratovich	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Gafurov A., Automated Mapping of Cropland Boundaries Using Deep Neural Networks//AgriEngineering. - 2023. - Vol.5, Is.3. - P.1568-1580.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=291815&p_lang=2	ru_RU
dc.description.abstract	AgriEngineering	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	remote sensing imagery	ru_RU
dc.subject	neural network	ru_RU
dc.subject	arable land boundaries	ru_RU
dc.subject	Sentinel 2 images	ru_RU
dc.subject	geospatial data	ru_RU
dc.subject	machine learning	ru_RU
dc.title	Automated Mapping of Cropland Boundaries Using Deep Neural Networks	ru_RU
dc.type	Articles in international journals and collections	ru_RU