Computer Vision and Artificial Intelligence Driving the Advancement of Agricultural Intelligence in Dynamic Environments

Zou, X; Zhu, X; Zhang, W; Qian, Y; Li, Y

Computer Vision and Artificial Intelligence Driving the Advancement of Agricultural Intelligence in Dynamic Environments

Zou, X Zhu, X Zhang, W

Qian, Y Li, Y

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Agriculture Switzerland, 2025, 15, (20), pp. 2112
Issue Date:: 2025-10-01

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Field	Value	Language
dc.contributor.author	Zou, X
dc.contributor.author	Zhu, X
dc.contributor.author	Zhang, W https://orcid.org/0000-0002-2064-0326
dc.contributor.author	Qian, Y
dc.contributor.author	Li, Y
dc.date.accessioned	2026-07-03T03:32:11Z
dc.date.available	2026-07-03T03:32:11Z
dc.date.issued	2025-10-01
dc.identifier.citation	Agriculture Switzerland, 2025, 15, (20), pp. 2112
dc.identifier.issn	2077-0472
dc.identifier.issn	2077-0472
dc.identifier.uri	http://hdl.handle.net/10453/195543
dc.description.abstract	The rise of agricultural digitalization is progressively reshaping the conventional extended management model through the profound integration of intelligent sensing technology and artificial intelligence [...]
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Agriculture Switzerland
dc.relation.isbasedon	10.3390/agriculture15202112
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0701 Agriculture, Land and Farm Management
dc.subject.classification	3002 Agriculture, land and farm management
dc.subject.classification	3004 Crop and pasture production
dc.title	Computer Vision and Artificial Intelligence Driving the Advancement of Agricultural Intelligence in Dynamic Environments
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	0701 Agriculture, Land and Farm Management
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2026-07-03T03:32:09Z
pubs.issue	20
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	20

Abstract:

The rise of agricultural digitalization is progressively reshaping the conventional extended management model through the profound integration of intelligent sensing technology and artificial intelligence [...]

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http://hdl.handle.net/10453/195543