NCBI PubMed Central
open access
Colorimetric sensor array combined with machine learning for discriminating the geographical origins and grape varieties of Chinese red wines.
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
- Predicting leaf traits in wine grapes with reflectance spectroscopy#197006
- Exact Mining of Dense Patterns via Direct Evaluation of Local Interval Frequency Using a Sliding Window#139029
- Ligand-Field Engineered White Copper-Based Nanozyme: Low-Background Detection for Sensitive Discrimination of Wine Origin#442393
- One Perception, All Maneuvers: Directional Traffic Signal Understanding for Maneuver-Level Signal Intent Prediction#1116647
- Deep learning enables edge deployment for citrus leaf disease recognition in natural orchard scenes.#465298
Record · ID 221037
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive