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THE CULTIVATION OF SPICES IN GREENHOUSES AND THEIR EXPORT

2025· article· W4415699495 on OpenAlexaboutno aff
Nikollaq BARDHI, Moltine PREBIBAJ, Sergej QAMA, Bardhyl LIMANI, Alirami SALIJI

Bibliographic record

VenueJournal of Agriculture and Sustainable Rural Development · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPhytochemistry and biological activities of Ficus species
Canadian institutionsnot available
Fundersnot available
KeywordsAromatic plantsGreenhouseMedicinal plantsInternational marketMedicinal herbsPlant cultivation

Abstract

fetched live from OpenAlex

The study of aromatic and medicinal plants represents great economic and practical interest. Therefore, it is the subject of study by many authors with agronomic, technological, biological, botanical, chemical and biochemical, medical, and pharmaceutical specializations. Many of these plants have been included in national, regional, and wider projects. A special subgroup of Aromatic and Medicinal Plants is the plants used for spices. In our country, spices are widespread and widely used in cooking and in flavoring many foods, beverages, and environments. Edible spices are an important part of Aromatic and Medicinal Plants. In recent years, they constitute a plant subgroup that is taking on other characteristics, dimensions, and greater importance. A completely special case is the export of fresh spices. This is the reason why the study of fresh spice plants was undertaken and studied in one of the typical companies cultivating fresh spices. The company “ELITE.A.E.” in Tirana, near Rinas airport, has been working for over thirty years, cultivating and exporting fresh spices to several European countries. The export of spices is an opportunity for the presentation of Albanian products in Europe and a source of income from exports. This company exports fresh spices to several countries: Switzerland, Canada, Germany, Austria, and Croatia. The herbs that are exported are: Mint, Basil, Sage, Rosemary, Dill, Parsley, and Coriander.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agriculture and Sustainable Rural DevelopmentSame topicPhytochemistry and biological activities of Ficus speciesFrench-language works237,207