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Record W4396749768 · doi:10.19044/esj.2024.v20n12p63

Bibliographic Review of Aquaponic Systems and their Relevance to Côte d’Ivoire, a Sub-Saharan African Country

2024· article· en· W4396749768 on OpenAlexaboutno aff
Nobah Céline Sidonie Koco, Koffi Kouakou Barthélemy, Kouakou Affoué Constantine

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInnovations in Aquaponics and Hydroponics Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCote d ivoireRelevance (law)GeographyRegional sciencePolitical scienceHumanities

Abstract

fetched live from OpenAlex

Through a review of aquaponic techniques, the present work highlights the interest aroused by this practice in the world as well as different modes of exploitation. Aquaponics is defined as a coupling between a recirculated aquaculture compartment and an aboveground crop compartment. Since two decades, it has been the subject of a significant economic activity in Canada, the USA, Australia and induces numerous research activities. This system is subdivided into three (3) major techniques which are the culture techniques on bed of inert substrates, on nutritive film and that of rafts. Aquaponics is the subject of profitable industrial economic activity on both large and small scale in the USA and Canada. Given the benefits of low water consumption, then on-use of fertilizers and pesticides, aquaponics is unquestionably according to researchers and users, the system capable of revolutionizing livestock farming and agriculture around the world. Côte d'Ivoire is suffering not only from the consequences of climate change but also from rapid urbanization, with the consequent change in water resources. Aquaponics deserves to be mastered then popularized in this country, to help produce fish and plants of better quality while avoiding the waste of water caused by traditional livestock systems.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.008
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.019
GPT teacher head0.235
Teacher spread0.216 · 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.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Scientific Journal ESJSame topicInnovations in Aquaponics and Hydroponics SystemsFrench-language works237,207