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Record W2964068493 · doi:10.5539/jas.v11n13p11

Agricultural Spray Inspection According to ISO 16122: Part II—Determination of the State of Use and Conservation of Agricultural Sprayers

2019· article· en· W2964068493 on OpenAlexvenueno aff
Alfran Tellechea Martini, José Fernando Schlosser, Emilio Gil Moya, Marcelo Silveira de Farias, Gustavo Oliveira dos Santos, Gilvan Moisés Bertollo, Juan Paulo Barbieri

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Surface Properties and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureTractorEngineeringEnvironmental scienceAgricultural engineeringAgricultural scienceGeographyAutomotive engineering

Abstract

fetched live from OpenAlex

Considering the need to reduce environmental contamination and uplift the effectiveness and quality of pesticide application, this work had the goal to determine the conditions of use and conservation of agricultural sprayers used in the Central and Western border of the state of Rio Grande do Sul, and to identify the most frequent problems in agricultural sprayers. Fifty-six sprayers connected to a three-point hydraulic system and the tractor drawbar were inspected, evaluating the safety and operation items using the methodology described in the Standard ISO 16122. After the evaluations, the collected data were submitted to an exploratory analysis by using descriptive statistics with the use of percentage frequency. Based on the obtained results, it is possible to observe that the most serious problems are mainly related to the safety of the operator and the environment, since 41.07% of the sprayers did not have the protection of the cardan transmission and 33.93% did not have the protection of straps and pulleys. In addition, static leaks were present in 46.43% of the samples and 87.50% presented dynamic leaks. In 71.43% of the cases, there was no presence of a clean water reservoir to wash the rigid packagings. Therefore, it is possible to conclude that the state of use and conservation of the inspected sprayers is serious, justifying the need for inspections on agricultural sprayers to become mandatory in Brazil, also requiring government policies for the renewal of these equipments, as well as, the homologation of research centers to conduct tests on agricultural machinery and implements before their commercialization. In addition is also necessary to invest in training of operators by conducting technical courses about the importance of equipment knowledge, available technologies and necessary maintenance, as the level of knowledge is low about the basics of operational safety, maintenance and use of the sprayers which contributes to the high percentages of nonconformity with ISO 16122.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.211
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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