Design and Evaluation of a Versatile Woody Biomass Harvester-Baler
Bibliographic record
Abstract
In 2005-2006, a willow harvester was developed with a 1.97-m wide four-saw cutter and a 1.55-m rotary shredder placed in front of an agricultural baler. The header worked well in level plantations and left a clean-cut stump. However, it was not designed to operate on uneven land where rocks and soil might cause saw blade malfunction. For this reason, a more robust header was developed in 2007 to harvest natural brushes on fallow land. The new header was a 2.30-m wide flail shredder that both cut and conditioned the woody brush before ejecting it into the baler. It was evaluated in two field trials in eastern Canada. On a fallow and poorly drained land, the shredder header-baler harvested natural alder shrubs at an average rate of 4 t wet matter (WM)/h. In a level willow plantation, the shredder header-baler worked up to 12 t WM/h, compared to 8 t WM/h with the original four-saw header-baler. The bales typically weighed 400 kg, were 1.4 m in diameter (1.2 m wide), and had a wet density of 220 kg/m (50% moisture). The new shredder baler offers a versatile alternative to harvest either wild brushes or planted woody crops. The technology will be helpful for land management and to provide a new source of otherwise neglected biomass.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".