Analysis of the Mechanization Index of Wheel Tractors in Rural Farm Holdings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Brazilian agriculture presents different production systems and a great variation of yield levels as a consequence of the regional inequality. These variations occur mainly because of the lack of technical information and financial support to acquire machinery and equipment used in agriculture. Considering the importance of this information, this study aimed to analyze the mechanization of agricultural properties in the municipality of Dracena/SP. The total number of land holdings in this area is 1,024 and only 149 have wheel tractors; they were classified into groups according to their sizes. Data collection was done through a questionnaire about the characteristics of the production system, mechanization resources, operational cost, and operational intensity. The statistical significance of the experimental data was evaluated by analyses of variance followed by Kruskal Wallis’ test (P<0.05). The analysis revealed that the average values of the mechanization index and the farmed area by tractor were, respectively, 2.53 kW/ha and 103.9 ha/tractor. The analysis further revealed that the field operational cost was minimized with the maximization of the effective operational capacity for any area group.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it