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Record W7055984674

Development of a urethane-based plant growth substrate for hydroponic greenhouse vegetable production

2006· dissertation· en· W7055984674 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2006
Typedissertation
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhousePlant growthIrrigationSubstrate (aquarium)Plant productionHydroponicsProduction (economics)Plant factory
DOInot available

Abstract

fetched live from OpenAlex

In 2002, the University of Guelph, in collaboration with a company in Ontario, Canada began to develop a urethane-based plant growth substrate (UBS) designed specifically as an alternative for rockwool (RW) in hydroponic greenhouse production. One of the advantages that this new UBS has over previous foam substrates is that it was manufactured with the intent of optimizing plant production in a hydroponic system instead of being reclaimed foam from industrial waste products (Wees and Donnelly, 1992). Between 2002 and 2005, experiments were conducted at the University of Guelph to provide recommendations (e.g. physical and chemical property specifications) to the company for improving the growth substrate. Management and irrigation protocols were also developed for the substrate. Four different generations of UBS were evaluated over this three-year period. At the end of each phase of testing, recommendations were provided to the manufacturer with respect to improving the physical and chemical properties. Plant growth experiments using the final generation of the substrate showed no significant differences between cucumber plants grown in UBS Generation 4 (UBSG4) compared to plants grown in RW with respect to measured growth parameters under appropriate irrigation management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.195
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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