Conceptio › Archive › Research Online
Research Online metadata only CC BY 4.0

Validated near-infrared spectroscopy and chemometric modelling for rapid quantification of essential oil yield and α/β-santalol in Santalum album L.

Hassnain, Muhammad et al.
Research Online · Papers · License: CC BY 4.0
Open Source ↗
artificial-intelligencemachine-learning
The sandalwood industry remains constrained by destructive, time-intensive assays for essential oil (EO) yield, composition, moisture content, and wood fraction, which limit real-time decision-making. We report a unified near-infrared spectroscopy-artificial intelligence (NIRS-AI) platform for non-d
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1317848
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive