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Machine learning-based estimation of leaf chlorophyll content in greenhouse-grown muskmelon using portable hyperspectral reflectance measurements

Yudai Ichikawa · Hirofumi Shimaoka · Rei Sonobe

Microchemical Journal · 3 Aug 2026 · 10.1016/j.microc.2026.119251

Abstract

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

Code and data availability

The paper's hyperspectral reflectance dataset (392 muskmelon leaf samples) and analysis code are not publicly deposited; the authors state data are available only on request.

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