aceDeep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI
Transitioning toward high-value functional food markets increases demand for forensic tools capable of verifying the "water-nutrient nexus", the complex agronomic interplay between irrigation and fertilization that shapes olive oil composition and authenticity. Conventional chemometrics often fail to capture synergistic, non-linear cultivation fingerprints within complex chemical matrices. This study introduces a "Deep Chemometrics" framework for retrospective auditing of olive oil history using FTIR spectroscop…
A 1D-CNN trained on FTIR spectra classified nine irrigation and fertilization regimes of olive oil, giving a transparent way to audit cultivation history and support supply-chain authenticity.
Performance dropped from 97.89% validation accuracy to 83% on the held-out test set, and the study needed data augmentation because sample availability was limited.
Evidence
- Peer-reviewedFood Chemistry2026-10-13
How should this claim be treated?
Truvace Impact Record TRV-2026-2008, v1: “Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI.” Truvace, 2026-10-20. /record/TRV-2026-2008 (accessed at citation time). sha256 dedf131d0a7d3ab1…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2008 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.