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Record W3120419256 · doi:10.37128/2520-6168-2020-3-12

CULTIVATOR DEVELOPMENT FOR NEW SOIL PROCESSING TECHNOLOGIES

2020· article· en· W3120419256 on OpenAlexaboutno aff
Leonid Sereda, Ludmila Shvets, Oleksandr Shvets

Bibliographic record

VenueENGINEERING ENERGY TRANSPORT AIC · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTillageCover cropEmerging technologiesSoil fertilityStrip-tillAgricultural engineeringAgricultural machineryHumusEnvironmental scienceAgricultureEngineeringAgroforestryAgronomyAgricultural economicsBusinessGeographyNo-till farmingSoil waterEconomicsBiologySoil scienceComputer science

Abstract

fetched live from OpenAlex

Most scientists in the field of agronomy, especially abroad, with the emergence of the latest technologies No-till and Strip-till, called them revolutionary in crop production, yes, along with economic indicators, these technologies retain the fertile potential of the soil. This is achieved through less soil damage due to the minimum number of technological operations, as well as the obligatory cover of the field with plant residues after harvesting. American scientists have shown that with the correct application of these technologies, the main indicator of soil quality - humus does not decrease, but on the contrary - increases. This article analyzes the work of Strip-till units in Ukraine and proposes a KFG-3,6 soil tillage unit developed by scientists from the Department of Agroengineering and Technical Services. The main means that can prevent the loss of fertility of the earth is the introduction of energy saving and fertile technologies. The factors of soil injury and maximum cover of soil with plant residues were laid. The most well-known technologies are the technologies, quite widespread in the USA and Canada, where more than 50% of the land is cultivated, and also in Argentina where they make more than 50%. In Europe, countries such as Germany, France and the UK will cultivate about 10% of land, and in Ukraine will cultivate consist - only 5%. Strip-till technology came to Europe from the United States, where its No-till technology predecessor. At present, almost half of the largest corn crop in the United States is owned by Strip-till. No-till and Strip-till technologies are widely used in crop production. The main argument is to maintain fertility through compulsory soil cover. The Department of Agroengineering and Technical Service of the Vinnytsia NAU has for many years taught a course of lectures for masters on low-cost and environmentally promising technologies in crop production. Manufacturers of Kalina-Agromash agricultural machinery in Vinnytsia region are interested in developing a modernized KFG-3,6 cultivator for Strip-till technology, which is partially covered in this article.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.167
Teacher spread0.150 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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