APLICAÇÃO DA PESQUISA OPERACIONAL NA AGRICULTURA: UM ESTUDO BIBLIOMÉTRICO NOS ANAIS DA SBPO
Bibliographic record
Abstract
This document presents the results of the research that had as interest to explore the use of Operational Research in Agribusiness, more specifically in the area of agriculture.In order to carry out this research, a bibliometric study was done using as data source the annals of the Brazilian Operational Research Symposium (SBPO) available at SOBRAPO's website.These articles were analyzed and classified in different extracts, such as: year of publication, nature of the agribusiness problem, type of tool used in the Operational Research and origin of the authors.The research considered complete articles and posters between 2008 to 2018 and returned 20 articles.It was observed a greater concentration in the year of 2011 with 5 articles.The study methods found were mostly linear programming, metaheuristics, game theory, cluster analysis and Pareto-Koopman.The origin of the authors are largely Brazilian, with exceptions from authors from Portugal, Chile, Canada and the United Kingdom.In the articles studied were found some more frequent subjects such as sugarcane and irrigation, the subject sugarcane obtained 5 articles and the subject irrigation obtained 3 articles.The other articles are on various topics such as: Brazilian agriculture, tomato plantation, harvest planning and etc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 0.029 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".