Enhancing crop classification with growing Degree days: bridging classical models and regional generalization

Authors

Işın Erer (ORCID: https://orcid.org/0000-0002-2225-6379)
Bahaa Awad (ORCID: https://orcid.org/0009-0003-3447-8344)

Institutions

Istanbul Technical University (TR)

Publication Details

Journal: Remote Sensing Letters
Published: 2025-10-08
DOI: https://doi.org/10.1080/2150704x.2025.2568123
Citations: 1
Primary Topic: Smart Agriculture and AI
Type: article
Field-Weighted Citation Impact: 1.75

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article

Enhancing crop classification with growing Degree days: bridging classical models and regional generalization

Işın Erer, Bahaa Awad

Oct 8, 2025

1 citations

Remote Sensing Letters

Smart Agriculture and AI

1.75

article

Enhancing crop classification with growing Degree days: bridging classical models and regional generalization

Işın Erer, Bahaa Awad

October 8, 2025article en

1 citations

Abstract

No abstract available for this paper.

Remote Sensing LettersVol. 16(12)

Istanbul Technical University (TR)

Openalex Percentile: Top 12%

Smart Agriculture and AI

1.75

DOI Source OpenAlex

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Enhancing crop classification with growing Degree days: bridging classical models and regional generalization — Işın Erer, Bahaa Awad · Remote Sensing Letters (2025) | TGRS Research Map | TGRS