QuanCro: a novel framework for quantification of corn crops’ consistency under natural field conditions

Abstract Crop population and inter-plant spacing in corn farms can provide useful insight into plant phenotypic analysis and informed establishment decisions, improving crop productivity. Traditionally, farmers have relied on manual inspection to assess crop consistency, such as counting plant stand...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Islam, Fatimah [verfasserIn]

Ullah, Muhib

Bais, Abdul

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Plant spacing statistics

Crop row detection

Progressive probabilistic Hough transform

Perspective transformation

Anmerkung:

© The Author(s), under exclusive licence to Springer-Verlag London Ltd., 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: Neural computing & applications - London : Springer, 1993, 35(2023), 35 vom: 14. Sept., Seite 24877-24896

Übergeordnetes Werk:

volume:35 ; year:2023 ; number:35 ; day:14 ; month:09 ; pages:24877-24896

Links:

Volltext

DOI / URN:

10.1007/s00521-023-08961-8

Katalog-ID:

SPR053758862

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