← Papers

Unverified paper record

Revolutionizing Wheat Plant Disease Detection: A Review of Imaging, AI, and Innovations

Archives of Computational Methods in Engineering · 24 Jan 2026 · 10.1007/s11831-026-10502-0

Abstract

Abstract has not been obtained from indexed metadata or an accessible article page.

Plant phenotyping relevance

小麦の植物病害検出に用いる画像処理・AI技術のレビューであり、植物の病害状態を観測・推定するフェノタイピング手法が中心です。

titleRevolutionizing Wheat Plant Disease Detection: A Review of Imaging, AI, and Innovations

Code and data availability

This is a review article on wheat disease detection with no authors' own phenotyping measurements, datasets, images, models, or analysis code. Datasets mentioned (e.g., WDD2017, Yellow-Rust-19, Plant Village) are cited prior work, not paper-specific assets, and no code or data availability statement appears in the text

No evidence-backed public reproduction asset is currently recorded.

This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.