FlavoRotor is in developmentSee the current stage

Reference · BIB-001

Research bibliography

79 external scientific, standards and metrology records plus 3 internal FlavoRotor engineering records. Every entry identifies the author, year, publication, DOI and its use in this documentation.

I01 · internal primary record2026

FlavoRotor prototype implementation record

FlavoRotor project team

Internal engineering report

Used in this documentation

Documents the built rotating prototype, sensing electronics, dashboard and current validation limitations.

Source checked

Original internal project file and extracted media · 2026-07-26

Open record
I02 · internal primary record2026

FlavoRotor v2.0 system architecture

FlavoRotor project team

Internal engineering design report

Used in this documentation

Documents the proposed magnetic drive, axial lighting, four-channel peristaltic dosing and imaging architecture.

Source checked

Original internal project file and extracted media · 2026-07-26

Open record
I03 · internal primary record2026

FlavoRotor peristaltic pump technical record

FlavoRotor project team

Internal engineering record

Used in this documentation

Documents CAD geometry, components, first-order equations, four-channel integration and the proposed calibration protocol.

Source checked

Original internal project file and extracted media · 2026-07-26

Open record
R01 · peer-reviewed research2023

Variation in supplemental lighting quality influences key aroma volatiles in hydroponically grown 'Italian Large Leaf' basil

Hammock, Hunter A.; Sams, Carl E.

Frontiers in Plant Science

DOI: 10.3389/fpls.2023.1184664

Used in this documentation

Direct evidence that spectral treatment can modify volatile profiles in a named hydroponic basil cultivar.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R02 · peer-reviewed research2023

Controlled mechanical stimuli reveal novel associations between basil metabolism and sensory quality

Seeburger, P.; Herdenstam, A.; Kurtser, P.; Arunachalam, A.; Castro-Alves, V. C.; Hyötyläinen, T.; Andreasson, H.

Food Chemistry

DOI: 10.1016/j.foodchem.2022.134545

Used in this documentation

Supports testing controlled mechanical stimulation as a contributor to basil metabolic and sensory response.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R03 · peer-reviewed research2020

Nutraceutical Profiles of Two Hydroponically Grown Sweet Basil Cultivars as Affected by the Composition of the Nutrient Solution and the Inoculation With Azospirillum brasilense

Kolega, Simun; Miras-Moreno, Begoña; Buffagni, Valentina; Lucini, Luigi; Valentinuzzi, Fabio; Maver, Mauro; Mimmo, Tanja; Trevisan, Marco; Pii, Youry; Cesco, Stefano

Frontiers in Plant Science

DOI: 10.3389/fpls.2020.596000

Used in this documentation

Shows cultivar- and nutrient-composition-dependent changes in basil biomass and nutraceutical traits.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R04 · peer-reviewed research2023

Evaluating Species-Specific Replenishment Solution Effects on Plant Growth and Root Zone Nutrients with Hydroponic Arugula (Eruca sativa L.) and Basil (Ocimum basilicum L.)

Houston, Lauren L.; Dickson, Ryan W.; Bertucci, Matthew B.; Roberts, Trenton L.

Horticulturae

DOI: 10.3390/horticulturae9040486

Used in this documentation

Supports species-specific nutrient replenishment and root-zone accounting for basil and arugula.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R05 · peer-reviewed research2021

Photosynthesis, Biomass Production, Nutritional Quality, and Flavor-Related Phytochemical Properties of Hydroponic-Grown Arugula (Eruca sativa Mill.) 'Standard' under Different Electrical Conductivities of Nutrient Solution

Yang, Teng; Samarakoon, Uttara C.; Altland, James; Ling, Peter

Agronomy

DOI: 10.3390/agronomy11071340

Used in this documentation

Directly compares EC 1.2, 1.5, 1.8 and 2.1 mS/cm in arugula cultivar Standard and reports yield and flavour-related phytochemicals.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R06 · peer-reviewed research2023

Precise Management of Hydroponic Nutrient Solution pH: The Effects of Minor pH Changes and MES Buffer Molarity on Lettuce Physiological Properties

Kudirka, Gediminas; Viršilė, Akvilė; Sutulienė, Rūta; Laužikė, Kristina; Samuolienė, Giedrė

Horticulturae

DOI: 10.3390/horticulturae9070837

Used in this documentation

Provides controlled lettuce evidence across pH 5.0–6.5 and demonstrates that small root-zone pH changes affect physiology.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R07 · peer-reviewed research2017

Growth and Tissue Elemental Composition Response of Butterhead Lettuce (Lactuca sativa, cv. Flandria) to Hydroponic Conditions at Different pH and Alkalinity

Anderson, T. S.; Martini, M. R.; de Villiers, D.; Timmons, M. B.

Horticulturae

DOI: 10.3390/horticulturae3030041

Used in this documentation

Supports separating pH from alkalinity and measuring tissue composition in lettuce.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R08 · peer-reviewed research2021

Nutrient Use in Vertical Farming: Optimal Electrical Conductivity of Nutrient Solution for Growth of Lettuce and Basil in Hydroponic Cultivation

Hosseini, Hadis; Mozafari, Vahid; Roosta, Hamid Reza; Shirani, Hossein; van de Vlasakker, Paulien C. H.; Farhangi, Mohsen

Horticulturae

DOI: 10.3390/horticulturae7090283

Used in this documentation

Provides cultivar-specific EC response data for hydroponic lettuce and basil.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R09 · peer-reviewed research2020

The Strength of the Nutrient Solution Modulates the Functional Profile of Hydroponically Grown Lettuce in a Genotype-Dependent Manner

Senizza, Biancamaria; Zhang, Leilei; Miras-Moreno, Begoña; Righetti, Laura; Zengin, Gokhan; Ak, Gunes; Bruni, Renato; Lucini, Luigi; Sifola, Maria Isabella; El-Nakhel, Christophe; Corrado, Giandomenico; Rouphael, Youssef

Foods

DOI: 10.3390/foods9091156

Used in this documentation

Demonstrates genotype-dependent changes in lettuce functional metabolites with nutrient-solution strength.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R10 · peer-reviewed research2023

Pre-harvest Nitrogen Limitation and Continuous Lighting Improve the Quality and Flavor of Lettuce (Lactuca sativa L.) under Hydroponic Conditions in Greenhouse

Yang, Xiao; Hu, Jiangtao; Wang, Zheng; Huang, Tao; Xiang, Yuting; Zhang, Li; Peng, Jie; Tomas-Barberan, Francisco A.; Yang, Qichang

Journal of Agricultural and Food Chemistry

DOI: 10.1021/acs.jafc.2c07420

Used in this documentation

Supports a confirmatory lettuce trial combining a defined pre-harvest nitrogen treatment with controlled lighting and sensory/chemical endpoints.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R11 · peer-reviewed research2021

Nutrient Solution Temperature Affects Growth and °Brix Parameters of Seventeen Lettuce Cultivars Grown in an NFT Hydroponic System

Thakulla, Dharti; Dunn, Bruce; Hu, Bizhen; Goad, Carla; Maness, Niels

Horticulturae

DOI: 10.3390/horticulturae7090321

Used in this documentation

Supports measuring root-zone temperature and cultivar interaction rather than treating temperature as a background variable.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R12 · peer-reviewed research2020

Interactive Effects of the Potassium and Nitrogen Relationship on Yield and Quality of Strawberry Grown Under Soilless Conditions

Preciado-Rangel, Pablo; Troyo-Diéguez, Enrique; Valdez-Aguilar, Luis Alonso; García-Hernández, José Luis; Luna-Ortega, José Guadalupe

Plants

DOI: 10.3390/plants9040441

Used in this documentation

Supports factorial strawberry experiments for potassium and nitrogen, with fruit quality and yield measured together.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R13 · peer-reviewed research2025

Nutrient solution strength affects growth, physiology, biochemistry and fruit quality of Korean strawberry 'Kuemsil' in a recycling hydroponic system

Zebro, Mewuleddeg; Baek, Jeong-Hyeon; Kim, Minkyung; Jeong, Youngae; Rabbani, M. G.; Choi, Ki-Young

Frontiers in Plant Science

DOI: 10.3389/fpls.2025.1685755

Used in this documentation

Provides exact nutrient-strength, pH and EC treatment combinations for cultivar Kuemsil and a measured fruit-quality response.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R14 · peer-reviewed research2025

Substrate system outperforms water-culture systems for hydroponic strawberry production

Hutchinson, George Kerrigan; Nguyen, Lan Xuan; Ames, Zilfina Rubio; Nemali, Krishna; Ferrarezi, Rhuanito Soranz

Frontiers in Plant Science

DOI: 10.3389/fpls.2025.1469430

Used in this documentation

Supports treating root-zone architecture and oxygenation as critical strawberry factors and records an operating pH/EC range used in the comparison.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R15 · peer-reviewed research2023

Functional Quality, Antioxidant Capacity and Essential Oil Percentage in Different Mint Species Affected by Salinity Stress

Hosseini, Seyyed Jaber; Tahmasebi-Sarvestani, Zeinolabedin; Mokhtassi-Bidgoli, Ali; Keshavarz, Hamed; Kazemi, Shahryar; Khalvandi, Masoumeh; Pirdashti, Hematollah; Hashemi-Petroudi, Seyyed Hamidreza; Nicola, Silvana

Chemistry & Biodiversity

DOI: 10.1002/cbdv.202200247

Used in this documentation

Supports species-specific mint screening for salinity, essential-oil percentage and biomass trade-offs.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R16 · peer-reviewed engineering research1999

Conceptual design of LED-based hydroponic photobioreactor for high-density plant cultivation

Shotipruk, A.; Kaufman, P. B.; Wang, H. Y.

Biotechnology Progress

DOI: 10.1021/bp990114i

Used in this documentation

Historical engineering precedent for combining high-density hydroponics and controlled lighting.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R17 · peer-reviewed research2024

Dynamics of micro and macronutrients in a hydroponic nutrient film technique system under lettuce cultivation

Vought, Kelsey; Bayabil, Haimanote K.; Pompeo, Jean; Crawford, Daniel; Zhang, Ying; Correll, Melanie; Martin-Ryals, Ana

Heliyon

DOI: 10.1016/j.heliyon.2024.e32316

Used in this documentation

Directly supports the statement that maintaining bulk EC does not guarantee stable individual-ion concentrations.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R18 · peer-reviewed engineering research2019

Fluid–Structure Interaction Modeling Applied to Peristaltic Pump Flow Simulations

Formato, Gaetano; Romano, Raffaele; Formato, Andrea; Sorvari, Joonas; Koiranen, Tuomas; Pellegrino, Arcangelo; Villecco, Francesco

Machines

DOI: 10.3390/machines7030050

Used in this documentation

Supports modelling tubing deformation and the limits of a rigid geometric displacement estimate.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R19 · peer-reviewed engineering research2025

An open-source peristaltic pump with multiple independent channels for laboratory automation

Buchhorn, Michael; Akkoc, Gun Deniz; Dworschak, Dominik

Digital Discovery

DOI: 10.1039/D5DD00157A

Used in this documentation

Provides a relevant multi-channel open-source pump architecture and a measured calibration methodology.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R20 · peer-reviewed engineering research2018

"Do-It-Yourself" reliable pH-stat device by using open-source software, inexpensive hardware and available laboratory equipment

Milanovic, Jovana Z.; Milanovic, Predrag; Kragic, Rastislav; Kostic, Mirjana

PLOS ONE

DOI: 10.1371/journal.pone.0193744

Used in this documentation

Supports incremental pH control, calibration, logging and mixing-aware feedback with accessible hardware.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R21 · peer-reviewed review2009

Thigmomorphogenesis: a complex plant response to mechano-stimulation

Chehab, E. Wassim; Eich, Elizabeth; Braam, Janet

Journal of Experimental Botany

DOI: 10.1093/jxb/ern315

Used in this documentation

Establishes the biological basis for measuring plant responses to repeated mechanical stimulation.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R22 · peer-reviewed review2019

Comparison of Microgravity Analogs to Spaceflight in Studies of Plant Growth and Development

Kiss, John Z.; Wolverton, Chris; Wyatt, Sarah E.; Hasenstein, Karl H.; van Loon, Jack J. W. A.

Frontiers in Plant Science

DOI: 10.3389/fpls.2019.01577

Used in this documentation

Defines limitations of clinostats and related microgravity analogues and supports conservative gravity claims.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R23 · community standard paper2020

Enabling reusability of plant phenomic datasets with MIAPPE 1.1

Papoutsoglou, E. A. et al.

New Phytologist

DOI: 10.1111/nph.16544

Used in this documentation

Provides a practical metadata structure for investigation, study, biological material and observed variables.

Source checked

Official ISO catalogue record · 2026-07-26

Open publisher record
R24 · data principles2016

The FAIR Guiding Principles for scientific data management and stewardship

Wilkinson, Mark D. et al.

Scientific Data

DOI: 10.1038/sdata.2016.18

Used in this documentation

Defines findable, accessible, interoperable and reusable research-data principles.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R25 · standard2021

ISO 4120:2021 Sensory analysis — Methodology — Triangle test

International Organization for Standardization

ISO

Used in this documentation

Defines the triangle test for determining whether a perceptible sensory difference exists.

Source checked

Official ISO catalogue record · 2026-07-26

Open publisher record
R26 · peer-reviewed research2013

Influence of nutrient solutions in an open-field soilless system on the quality characteristics and shelf life of fresh-cut red and green lettuces (Lactuca sativa L.) in different seasons

Luna, María C.; Martínez-Sánchez, Ascensión; Selma, María V.; Tudela, Juan A.; Baixauli, Carlos; Gil, María I.

Journal of the Science of Food and Agriculture

DOI: 10.1002/jsfa.5777

Used in this documentation

Supports controlling post-harvest handling and season when interpreting lettuce quality.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R27 · peer-reviewed research2019

The bioactive profile of lettuce produced in a closed soilless system as configured by combinatorial effects of genotype and macrocation supply composition

El-Nakhel, C. et al.

Food Chemistry

DOI: 10.1016/j.foodchem.2019.125713

Used in this documentation

Supports factorial macrocation-by-genotype experiments in closed soilless lettuce production.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R28 · peer-reviewed research2026

Strawberry Production in Soilless Culture Systems: A Comparative Analysis of Volatile Metabolites, Quality, and Sensory Traits in Three Cultivars

Malorni, Livia; Di Renzo, Tiziana; Matarazzo, Cristina; Petriccione, Milena; Ferrara, Elvira; Capriolo, Giuseppe; Baruzzi, Gianluca; Sbrighi, Paolo; Cozzolino, Rosaria

Foods

DOI: 10.3390/foods15061072

Used in this documentation

Supports combining volatile analysis, instrumental fruit-quality measurements and sensory analysis across strawberry cultivars.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

Open publisher record
R29 · standard2017

ISO 6658:2017 Sensory analysis — Methodology — General guidance

International Organization for Standardization

ISO

Used in this documentation

Provides general sensory-analysis planning, sample presentation and interpretation guidance.

Source checked

Official ISO catalogue record · 2026-07-26

Open publisher record
R30 · peer-reviewed research2016

Using Deep Learning for Image-Based Plant Disease Detection

Mohanty, Sharada P.; Hughes, David P.; Salathé, Marcel

Frontiers in Plant Science

DOI: 10.3389/fpls.2016.01419

Used in this documentation

Provides a canonical controlled-image plant-disease classification benchmark and documents generalisation limitations.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R31 · peer-reviewed conference paper2018

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Sandler, Mark; Howard, Andrew; Zhu, Menglong; Zhmoginov, Andrey; Chen, Liang-Chieh

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI: 10.1109/CVPR.2018.00474

Used in this documentation

Provides the architecture basis for an efficient edge-image classifier.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R32 · peer-reviewed review2019

Microgravity research in plants: A range of platforms and options allow research on plants in zero or low gravity that can yield important insights into plant physiology

Böhmer, Maik; Schleiff, Enrico

EMBO Reports, 20, e48541

DOI: 10.15252/embr.201948541

Used in this documentation

Explains real, simulated and partial-gravity platforms and the limits of ground-based rotation systems.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R33 · peer-reviewed research2020

Far-red photons have equivalent efficiency to traditional photosynthetic photons: Implications for redefining photosynthetically active radiation

Zhen, Shuyang; Bugbee, Bruce

Plant, Cell & Environment, 43, 1259–1272

DOI: 10.1111/pce.13730

Used in this documentation

Supports measuring far-red as part of the photon environment and evaluating it in combination with shorter wavelengths.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R34 · peer-reviewed engineering research2023

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions

Cho, Woo-Jae; Gang, Min-Seok; Kim, Dong-Wook; Kim, JooShin; Jung, Dae-Hyun; Kim, Hak-Jin

Frontiers in Plant Science, 14, 1301490

DOI: 10.3389/fpls.2023.1301490

Used in this documentation

Demonstrates ion-specific monitoring and multi-stock dosing while accounting for coupled ions in fertilizer salts.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R35 · peer-reviewed review2012

Ion-Specific Nutrient Management in Closed Systems: The Necessity for Ion-Selective Sensors in Terrestrial and Space-Based Agriculture and Water Management Systems

Bamsey, Matthew; Graham, Thomas; Thompson, Cody; Berinstain, Alain; Scott, Alan; Dixon, Michael

Sensors, 12, 13349–13392

DOI: 10.3390/s121013349

Used in this documentation

Explains why closed nutrient systems require ion-specific information when precise ionic balance is the objective.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R36 · peer-reviewed research2020

Recycling Nutrient Solution Can Reduce Growth Due to Nutrient Deficiencies in Hydroponic Production

Miller, Alexander; Adhikari, Ranjeeta; Nemali, Krishna

Frontiers in Plant Science, 11, 607643

DOI: 10.3389/fpls.2020.607643

Used in this documentation

Shows that maintaining target EC in recycled hydroponics can mask individual nutrient deficiencies and unwanted-ion accumulation.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R37 · official metrology publication2006

NIST Calibration Services for Liquid Volume

Bean, Vern E.; Espina, Pedro I.; Wright, John D.; Sheckels, Sherry D.; Johnson, Aaron N.

NIST Special Publication 250-72

DOI: 10.6028/NIST.SP.250-72

Used in this documentation

Provides traceable liquid-volume calibration concepts relevant to gravimetric pump calibration and uncertainty.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R38 · international metrology guide2008

Evaluation of measurement data — Guide to the expression of uncertainty in measurement

Joint Committee for Guides in Metrology

JCGM 100:2008

DOI: 10.59161/JCGM100-2008E

Used in this documentation

Defines the framework for measurement models, standard uncertainty, combined uncertainty and expanded uncertainty.

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Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R39 · international metrology vocabulary2012

International vocabulary of metrology — Basic and general concepts and associated terms

Joint Committee for Guides in Metrology

JCGM 200:2012

DOI: 10.59161/JCGM200-2012

Used in this documentation

Defines measurement, calibration, accuracy, precision, repeatability, resolution and related terms used throughout the documentation.

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Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R40 · international standard2007

ISO 8589:2007 Sensory analysis — General guidance for the design of test rooms

International Organization for Standardization

ISO

Used in this documentation

Supports controlled sensory-test spaces and separation of sample preparation from evaluation.

Source checked

Official ISO catalogue record · 2026-07-26

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R41 · international standard2016

ISO 13299:2016 Sensory analysis — Methodology — General guidance for establishing a sensory profile

International Organization for Standardization

ISO

Used in this documentation

Supports systematic development of sensory attributes and intensity profiles.

Source checked

Official ISO catalogue record · 2026-07-26

Open publisher record
R42 · international standard2014

ISO 11136:2014 Sensory analysis — Methodology — General guidance for conducting hedonic tests with consumers in a controlled area

International Organization for Standardization

ISO

Used in this documentation

Supports consumer liking and preference testing after analytical difference testing.

Source checked

Official ISO catalogue record · 2026-07-26

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R43 · international standard2017

ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories

International Organization for Standardization

ISO/IEC

Used in this documentation

Supports traceability, method validation, equipment control, records and competence for external laboratory measurements.

Source checked

Official ISO catalogue record · 2026-07-26

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R44 · official component documentation2010

A4988 DMOS Microstepping Driver with Translator and Overcurrent Protection

Allegro MicroSystems

Official component documentation

Used in this documentation

Confirms supported microstep command modes and electrical protection features of the proposed driver.

Source checked

Allegro MicroSystems product page and manufacturer release · 2026-07-27

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R45 · official standard2019

ISO/CIE 11664-4:2019 Colorimetry — Part 4: CIE 1976 L*a*b* colour space

International Organization for Standardization; International Commission on Illumination

International Standard

Used in this documentation

Defines calculation of CIE L*a*b* coordinates and colour differences for controlled instrumental colour reporting.

Source checked

Official ISO catalogue record · 2026-07-26

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R46 · official statistical handbook2002

NIST/SEMATECH e-Handbook of Statistical Methods

Heckert, N. Alan; Filliben, James J.; Croarkin, C. M.; Hembree, B.; Guthrie, William F.; Tobias, P.; Prinz, J.

NIST Handbook 151

Used in this documentation

Supports calibration regression, residual analysis, experimental design and statistical process control.

Source checked

Named official institution record · 2026-07-26

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R47 · peer-reviewed data descriptor2025

Extensive Dataset for Peristaltic Pump Accuracy Enhancement in Pharmaceutical Environments

Privitera, Davide; Mecocci, Alessandro; Bartolini, Sandro

Scientific Data, 12, 1618

DOI: 10.1038/s41597-025-05902-z

Used in this documentation

Supports repeated gravimetric characterisation, drift monitoring and data-driven compensation for peristaltic dosing.

Source checked

Publisher, DOI landing page, PubMed or official repository where available · 2026-07-26

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R48 · official standard2008

ISO 5492:2008 Sensory analysis — Vocabulary

International Organization for Standardization

International Standard; Amendment 1 published 2016

Used in this documentation

Provides controlled sensory-analysis terminology for taste, odour, texture, attributes and methods.

Source checked

Official ISO catalogue record · 2026-07-26

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R49 · official standard2023

ISO 8586:2023 Sensory analysis — Selection and training of sensory assessors

International Organization for Standardization

International Standard

Used in this documentation

Defines criteria and procedures for selecting and training trained and expert sensory assessors.

Source checked

Official ISO catalogue record · 2026-07-26

Open publisher record
R50 · international standard2025

ISO 5725-2:2025 Accuracy (trueness and precision) of measurement methods and results — Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method

International Organization for Standardization

ISO

Used in this documentation

Supports estimation of repeatability and reproducibility of measurement methods.

Source checked

Official ISO catalogue record · 2026-07-26

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R51 · peer-reviewed conference paper and dataset2020

PlantDoc: A Dataset for Visual Plant Disease Detection

Singh, Davinder; Jain, Naman; Jain, Pranjali; Kayal, Pratik; Kumawat, Sudhakar; Batra, Nipun

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 249–253

DOI: 10.1145/3371158.3371196

Used in this documentation

Provides a 2,598-image, 13-species, 27-class plant-disease dataset with real backgrounds and documents the gap between controlled and field-like imagery.

Source checked

ACM Digital Library and author manuscript · 2026-07-29

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R52 · peer-reviewed data descriptor2016

Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping

Arend, Daniel; Lange, Matthias; Pape, Jean-Michel; Weigelt-Fischer, Kathleen; Arana-Ceballos, Fernando; Mücke, Ingo; Klukas, Christian; Altmann, Thomas; Scholz, Uwe; Junker, Astrid

Scientific Data, 3, 160055

DOI: 10.1038/sdata.2016.55

Used in this documentation

Documents repeatable top and side RGB acquisition, image-linked metadata, reference measurements and quality validation for longitudinal plant phenotyping.

Source checked

Nature Scientific Data and PubMed Central full text · 2026-07-29

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R53 · peer-reviewed conference paper and dataset2009

ImageNet: A Large-Scale Hierarchical Image Database

Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li

2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255

DOI: 10.1109/CVPR.2009.5206848

Used in this documentation

Defines the large-scale natural-image dataset used to initialise the generic visual encoder in the documented transfer-learning baseline.

Source checked

IEEE Xplore and the official CVPR paper · 2026-07-29

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R54 · peer-reviewed software paper2020

Albumentations: Fast and Flexible Image Augmentations

Buslaev, Alexander; Iglovikov, Vladimir I.; Khvedchenya, Eugene; Parinov, Alex; Druzhinin, Mikhail; Kalinin, Alexandr A.

Information, 11(2), 125

DOI: 10.3390/info11020125

Used in this documentation

Provides the reproducible image-transform framework used to define and log bounded training-only augmentations.

Source checked

MDPI Information and the official software repository · 2026-07-29

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R55 · peer-reviewed conference paper2017

On Calibration of Modern Neural Networks

Guo, Chuan; Pleiss, Geoff; Sun, Yu; Weinberger, Kilian Q.

Proceedings of the 34th International Conference on Machine Learning, PMLR 70, 1321–1330

Used in this documentation

Defines confidence calibration analysis and supports temperature scaling as a simple post-hoc calibration method.

Source checked

Proceedings of Machine Learning Research · 2026-07-29

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R56 · peer-reviewed research2026

Quantifying the reliability gap in cross-domain plant disease classification: benchmarking the limited efficacy of standard mitigation techniques under controlled-to-field shift

Xiang, Kun; Shi, Danxi; Zhu, Xiangbo

Frontiers in Plant Science, 17, 1826962

DOI: 10.3389/fpls.2026.1826962

Used in this documentation

Quantifies controlled-to-field domain shift using PlantVillage and PlantDoc and supports explicit target-domain evaluation and calibrated abstention.

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Frontiers in Plant Science full text · 2026-07-29

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R57 · longitudinal experimental dataset2025

Lettuce Dataset with RGB Canopy Images, Biomass, Nutrient Solution, and Environmental Variables for Machine Learning Model Development

Karimzadeh, Sara; Ahamed, M. Shamim

Zenodo, Version 1

DOI: 10.5281/zenodo.16912088

Used in this documentation

Links 731 daily RGB canopy images, 540 non-destructive biomass observations from 18 identified lettuce heads, and 1,443 environmental records for longitudinal growth analysis.

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Zenodo and Aalto University Research Portal · 2026-07-29

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R58 · government research dataset2025

Hydroponic Cultivation of Bibb Lettuce in Nitrogen Phosphorus Potassium (NPK)-Limited Conditions

Sharkey, Andrew; Chen, Yongsheng; Altman, Asher

USDA Ag Data Commons, Version 2

DOI: 10.15482/USDA.ADC/28801286.v2

Used in this documentation

Provides time-resolved fresh-mass responses and published confidence intervals for separate nitrogen, phosphorus and potassium limitation treatments in hydroponic Bibb lettuce.

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USDA National Agricultural Library Ag Data Commons · 2026-07-29

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R59 · peer-reviewed data descriptor and dataset2020

Dataset on the organic acids, sulphate, total nitrogen and total chlorophyll contents of two lettuce cultivars grown hydroponically using nutrient solutions of variable macrocation ratios

El-Nakhel, Christophe; Pannico, Antonio; Kyriacou, Marios C.; Petropoulos, Spyridon A.; Giordano, Maria; Colla, Giuseppe; Troise, Antonio Dario; Vitaglione, Paola; De Pascale, Stefania; Rouphael, Youssef

Data in Brief, 29, 105135

DOI: 10.1016/j.dib.2020.105135

Used in this documentation

Reports all 18 observations in a balanced two-cultivar by three-solution experiment, including nitrogen, sulphate, organic acids and total chlorophyll.

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Elsevier Data in Brief and Mendeley Data · 2026-07-29

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R60 · peer-reviewed research and multimodal dataset2025

Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors

Fevgas, Georgios; Lagkas, Thomas; Papadopoulos, Petros; Sarigiannidis, Panagiotis; Argyriou, Vasileios

Smart Agricultural Technology, 10, 100881

DOI: 10.1016/j.atech.2025.100881

Used in this documentation

Aligns hourly soil-moisture measurements with RGB, thermal and pseudo-colour lettuce images from irrigated and non-irrigated conditions.

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Elsevier Smart Agricultural Technology and Mendeley Data · 2026-07-29

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R61 · multimodal longitudinal dataset2025

HydroGrowNet of Batavia Dataset

Shalash, Omar; Hassan, Nayira; Métwalli, Ahmed; Elhefny, Alia

Mendeley Data, Version 5

DOI: 10.17632/g6cm3v3wdp.5

Used in this documentation

Contains more than 390,000 segmented lettuce images from three 30-day cycles aligned with water temperature, EC and pH measurements; useful for external growth and anomaly-model evaluation.

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Mendeley Data · 2026-07-29

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R62 · multimodal longitudinal phenotyping dataset2026

Multi-Sensor High-Throughput Phenotyping Dataset of Hydroponic Lettuce under Variable Fertigation Conditions

Rodrigues, Leandro; Terra, Francisco; Rodrigues, Pedro; Moreira, Germano; Oliveira, Francisco; Moura, Pedro; Pinheiro, Isabel; Santos, Filipe; Cunha, Mário

Zenodo

DOI: 10.5281/zenodo.20759414

Used in this documentation

Follows 45 lettuce plants from two cultivars through a 42-day crop cycle under three nitrogen concentrations and two irrigation rates, linking RGB, 3D, multispectral, SPAD, fluorescence and morphology records.

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Zenodo · 2026-07-29

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R63 · peer-reviewed review2019

Gravity sensing and signal conversion in plant gravitropism

Nakamura, Moritaka; Nishimura, Takeshi; Morita, Miyo Terao

Journal of Experimental Botany, 70(14), 3495–3506

DOI: 10.1093/jxb/erz158

Used in this documentation

Explains amyloplast sedimentation, gravity signalling, directional auxin transport and differential growth in roots and shoots after reorientation.

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Oxford Academic, Journal of Experimental Botany · 2026-07-29

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R64 · peer-reviewed multi-laboratory research2010

Probing the Reproducibility of Leaf Growth and Molecular Phenotypes: A Comparison of Three Arabidopsis Accessions Cultivated in Ten Laboratories

Massonnet, Catherine; Vile, Denis; Fabre, Justine; et al.

Plant Physiology, 152(4), 2142–2157

DOI: 10.1104/pp.109.148338

Used in this documentation

Shows that detailed standardisation can produce similar growth in a core group of laboratories, while small laboratory-environment differences can still alter growth and metabolite phenotypes.

Source checked

Oxford Academic, Plant Physiology · 2026-07-30

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R65 · peer-reviewed editorial on experimental design2021

The importance of independent replication of treatments in plant science

Rogers, Alistair; Dietz, Karl-Josef; Gifford, Miriam L.; Lunn, John E.

Journal of Experimental Botany, 72(15), 5270–5274

DOI: 10.1093/jxb/erab268

Used in this documentation

Explains independent experimental units, randomisation and why pseudoreplication can invalidate treatment claims.

Source checked

Oxford Academic, Journal of Experimental Botany · 2026-07-30

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R66 · peer-reviewed controlled-environment research2017

Getting back to nature: a reality check for experiments in controlled environments

Annunziata, Maria Grazia; Apelt, Federico; Carillo, Petronia; et al.

Journal of Experimental Botany, 68(16), 4463–4477

DOI: 10.1093/jxb/erx220

Used in this documentation

Demonstrates that natural sunlight and artificial controlled-light regimes can produce different metabolic profiles even when important lighting features are approximated.

Source checked

Oxford Academic, Journal of Experimental Botany · 2026-07-30

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R67 · peer-reviewed review and reporting guidance2025

Importance of measuring and reporting environmental conditions across plant science subdisciplines

Vincent, Christopher; Leisner, Courtney P.; Locke, Anna M.; Teshome, Demissew Tesfaye; et al.

Plant Physiology, 199(2), kiaf405

DOI: 10.1093/plphys/kiaf405

Used in this documentation

Supports measuring actual environmental conditions—rather than reporting equipment settings alone—to improve replicability and cross-scale interpretation.

Source checked

Oxford Academic, Plant Physiology · 2026-07-30

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R68 · peer-reviewed controlled-environment research2023

Natural plant growth and development achieved in the IPK PhenoSphere by dynamic environment simulation

Heuermann, Marc C.; Knoch, Dominic; Junker, Astrid; Altmann, Thomas

Nature Communications, 14, 5783

DOI: 10.1038/s41467-023-41332-4

Used in this documentation

Shows the value of reproducing time-varying environmental trajectories rather than only static averages when bridging controlled and natural conditions.

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Nature Communications · 2026-07-30

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R69 · peer-reviewed original research2026

Dynamic, adaptive and modular Digital Twin framework for resource-efficient Controlled Environment Agriculture

Frontzek, Julius; Wagner, Zühal; Streif, Stefan

Frontiers in Plant Science, 17, 1864757

DOI: 10.3389/fpls.2026.1864757

Used in this documentation

Supports vendor-agnostic sensor and actuator integration, dynamic target trajectories, model calibration and adaptive control as an architecture for translating targets to local equipment.

Source checked

Frontiers in Plant Science · 2026-07-30

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R70 · peer-reviewed statistical methods paper1987

A comparison of the Two One-Sided Tests Procedure and the Power Approach for assessing the equivalence of average bioavailability

Schuirmann, Donald J.

Journal of Pharmacokinetics and Biopharmaceutics, 15(6), 657–680

DOI: 10.1007/BF01068419

Used in this documentation

Provides the classical two one-sided tests framework for evaluating whether an effect lies within predeclared equivalence margins.

Source checked

PubMed and Springer metadata · 2026-07-30

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R71 · peer-reviewed review2024

Optimizing the quality of horticultural crop: insights into pre-harvest practices in controlled environment agriculture

Zhao, Xinyi; Peng, Jie; Zhang, Li; et al.

Frontiers in Plant Science, 15, 1427471

DOI: 10.3389/fpls.2024.1427471

Used in this documentation

Reviews how pre-harvest manipulation of nutrients, light and other controlled-environment factors can affect horticultural quality, including colour, aroma and taste-related outcomes.

Source checked

Frontiers in Plant Science · 2026-07-30

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R72 · peer-reviewed original research2025

Sensor-controlled fertigation management for higher yield and quality in greenhouse hydroponic strawberries

Hutchinson, George Kerrigan; Nguyen, Lan Xuan; Rubio Ames, Zilfina; Nemali, Krishna; Ferrarezi, Rhuanito Soranz

Frontiers in Plant Science, 15, 1469434

DOI: 10.3389/fpls.2024.1469434

Used in this documentation

Demonstrates that sensor-coupled fertigation strategies can be evaluated for yield, quality and resource use in greenhouse hydroponic strawberry production.

Source checked

Frontiers in Plant Science · 2026-07-30

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R73 · official standard2023

ISO 8586:2023 Sensory analysis — Selection and training of sensory assessors

International Organization for Standardization

International Standard

Used in this documentation

Defines criteria and procedures for selecting and training trained and expert sensory assessors.

Source checked

ISO · 2026-07-30

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R74 · official standard2007

ISO 8589:2007 Sensory analysis — General guidance for the design of test rooms

International Organization for Standardization

International Standard, with Amendment 1:2014

Used in this documentation

Provides guidance for sensory test-room design and separation of testing, preparation and support areas.

Source checked

ISO · 2026-07-30

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R75 · official standard2017

ISO 6658:2017 Sensory analysis — Methodology — General guidance

International Organization for Standardization

International Standard

Used in this documentation

Provides general guidance on sensory tests and the statistical treatment of sensory-analysis results.

Source checked

ISO · 2026-07-30

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R76 · official standard2008

ISO 5492:2008 Sensory analysis — Vocabulary

International Organization for Standardization

International Standard, with Amendment 1:2016

Used in this documentation

Defines sensory-analysis terminology relating to senses, organoleptic attributes and methods.

Source checked

ISO · 2026-07-30

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R77 · official standard2014

ISO 11136:2014 Sensory analysis — Methodology — General guidance for conducting hedonic tests with consumers in a controlled area

International Organization for Standardization

International Standard, with Amendment 1:2020

Used in this documentation

Provides guidance for measuring consumer liking and preference under controlled conditions.

Source checked

ISO · 2026-07-30

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R78 · peer-reviewed original research2015

How well do you know your growth chambers? Testing for chamber effect using plant traits

Porter, Amanda S.; Evans-Fitz.Gerald, Christiana; McElwain, Jennifer C.; Yiotis, Charilaos; Elliott-Kingston, Caroline

Plant Methods, 11, 44

DOI: 10.1186/s13007-015-0088-0

Used in this documentation

Demonstrates that nominally identical controlled-environment chambers can produce chamber effects and supports independent sensing, pilot testing, randomisation and replicated experimental units.

Source checked

Plant Methods / Springer Nature · 2026-07-30

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R79 · peer-reviewed original research2024

A spatio-temporal methodology for greenhouse microclimatic mapping

Brentarolli, Elia; Locatelli, Silvia; Nicoletto, Carlo; Sambo, Paolo; Quaglia, Davide; Muradore, Riccardo

PLOS ONE, 19(9), e0310454

DOI: 10.1371/journal.pone.0310454

Used in this documentation

Supports temporary dense sensing, spatial modelling and greenhouse microclimate mapping when a single environmental average is insufficient.

Source checked

PLOS ONE and PubMed · 2026-07-30

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