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Record W4323365507 · doi:10.18280/ijdne.180119

Calculation of Humidification Contours upon Drip Irrigation of an Intensive Apple Orchard in Zhambyl Region

2023· article· en· W4323365507 on OpenAlexvenueno aff
Aigerim Askanbek, Daulen Nurabaev, Ainur Zhatkanbaeva, Laiskhanov Shakhislam

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIrrigation Practices and Water Management
Canadian institutionsnot available
Fundersnot available
KeywordsOrchardDrip irrigationIrrigationEnvironmental scienceAgricultural engineeringHydrology (agriculture)HorticultureMathematicsAgronomyEngineeringBiologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Based on the increasing efficiency and productivity of water resources by improving the technique and technology of intensive drip irrigation of apple orchards, calculations were presented on the formation of a moisture contour by drip irrigation for apple seedlings and seedlings of low-growing fruit-bearing apple orchards in the conditions of the foothill zone of the Zhambyl region, the justification of the intensity and time of water supply, the placement of the number of droppers providing moisture to the root layer of apple trees grown to maintain humidity in accordance with 0.8 MC in the foothill zone of the Zhambyl region on light grey soils with insufficient natural humidity.As the apple trees grow and develop, the need to moisten the root layer along the drop line increases until the wet contour is completely covered.It is established that during mass watering of apple orchards, the regularities of the process and dynamics of soil moistening are established depending on the value of the irrigation rate.With drip irrigation, the root layer of the soil is compacted.

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 score0.640
Threshold uncertainty score0.151

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 studies0.0000.000
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 head0.028
GPT teacher head0.273
Teacher spread0.244 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicIrrigation Practices and Water ManagementFrench-language works237,207