# Research roadmap

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Machine-readable index: https://flavorotor.com/research/data/chapters/index.json



The ordered validation sequence from machine calibration to independently reproducible sensory recipes.

In brief

The ordered validation sequence from machine calibration to independently reproducible sensory recipes.

## Objective

FlavoRotor is developed as a programmable cultivation platform. The research objective is to measure how cultivation inputs change plant outcomes, then reproduce the useful responses with the same crop and recorded conditions.

## Validation stages

 |
 Stage | Question | Release gate

 | 1. Engineering calibration | Does each sensor and actuator reproduce its command within a declared uncertainty? | Calibration report and raw data

 | 2. Empty-system mapping | What spatial and temporal gradients exist before plants are added? | Light, temperature, humidity, rotation and reservoir maps

 | 3. Biological baseline | Can one cultivar be grown repeatedly with one fixed recipe? | At least three independent cycles

 | 4. Single-factor screening | Which controllable factor produces a measurable effect? | Preregistered control and treatment comparison

 | 5. Chemical and sensory confirmation | Is the effect chemically measurable and perceptible? | Instrumental analysis plus blinded sensory test

 | 6. Interaction model | How do selected factors interact? | Factorial or response-surface experiment

 | 7. Recipe replication | Can the result be reproduced on another cycle or unit? | Replication report

 | 8. Transfer | Can the recipe be translated to a larger system using physical variables? | Scale-transfer report

## Publication rule

Each released result remains linked to its protocol version, biological material, system identifier, calibration records, raw dataset, processing code and conclusion linked to the tested conditions. This structure follows reusable plant-experiment metadata and FAIR data principles. [R23] [R24]

## References

- [R23] Papoutsoglou, E. A. et al. (2020). Enabling reusability of plant phenomic datasets with MIAPPE 1.1. *New Phytologist*. https://doi.org/10.1111/nph.16544
- [R24] Wilkinson, Mark D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. *Scientific Data*. https://doi.org/10.1038/sdata.2016.18