An instance segmentation framework based on parallelogram mask for crop row detection in various farmlands

Abstract Crop row detection is one of the essential steps for autonomous guidance in agriculture. Conventional methods only detect the center lines of crop rows, without providing information about their widths and shapes, which cannot meet the growing demands. Instance segmentation, which segments...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Zheng, Deshuai [verfasserIn]

Yan, Jin [verfasserIn]

Xue, Tao [verfasserIn]

Liu, Yong [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Crop row detection

Instance segmentation

Agricultural automation

Anmerkung:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Multimedia tools and applications - Springer US, 1995, 83(2023), 16 vom: 03. Nov., Seite 48701-48717

Übergeordnetes Werk:

volume:83 ; year:2023 ; number:16 ; day:03 ; month:11 ; pages:48701-48717

Links:

Volltext

DOI / URN:

10.1007/s11042-023-17443-x

Katalog-ID:

SPR055769470

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