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Record W4389319841 · doi:10.53555/sfs.v7i3.1852

Assessment Of Hydroponic Technique The Future Soil-Less Farming Technique Of India

2021· article· en· W4389319841 on OpenAlexvenueno aff
Rahul Kumar, Nutan Srivastava

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInnovations in Aquaponics and Hydroponics Systems
Canadian institutionsnot available
Fundersnot available
KeywordsAquaponicsHydroponicsAgricultureEnvironmental scienceMicronutrientAgricultural engineeringEngineeringAgronomyBiologyFish <Actinopterygii>ChemistryEcologyFisheryAquaculture

Abstract

fetched live from OpenAlex

The present papers records the various types of technique of hydroponic system used in India and give us an idea of the preparation of a nutrient film technology system of hydroponic. Hydroponic is a technique in which plants are grown in water that harmonizes dissolved essential macro and micronutrients. Construction of the NFT hydroponic system and the overall present study is done in Bazpur U.S.Nagar in November 2021 to check the growth of various plants. There are total 5 systems of the hydroponic system are used in India Ebb and flow, Drip system, NFT (Nutrition Film Technique), Aquaponic, And Aeroponic. The nutrition film technique (NFT) of the Hydroponic system was used in the present study.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.285
Teacher spread0.201 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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