Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)

Abstract

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

Plant phenotyping relevance

機械学習による高スループット圃場フェノタイピングと画像処理が題名の中心であり、地上部・地下部形質の推定・関連解析を扱うため、植物表現型取得手法として採用する。

Code and data availability

The paper describes the CIAT Pheno-i web-based image analysis platform developed by the authors and used for this study's phenotyping, which is publicly accessible. However, no public deposit of the paper's phenotype datasets, UAV imagery, ML models, or analysis code is stated; supplementary files (ML model PDF, tables

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