Development of a Cutter-Shredder-Baler to Harvest Long-Stem Willow
Bibliographic record
Abstract
Willow is a fast-growing crop with a biomass potential between 10 and 20 t of dry matterper ha per year in a northern climate like Canada. Once established, willow reaches optimal yieldunder a 3-year cutting rotation. One method of harvesting is to cut and chip the whole plant forimmediate use or wet storage at 40 to 50% moisture content. Alternately, willow can be cut andeither bundled or baled for natural drying in storage. Near-commercial harvesters for willow areavailable to cut and chip with a forage-harvester platform. However, no commercial harvester oflong-stem willow in the form of bundle or bale is available. Design criteria have been developed tooptimize cutting, perform light shredding and bale willow stems. Cutting blades for fibrous stemshave been used at peripheral speeds between 10 and 118 m/s. A lower peripheral speed requiresless specific energy but may limit the harvesters capacity in a dense plantation. Light shredding witha hammer-type shredder improves the flexibility of the stems for subsequent compression in a baler.A large round baler is easier to align with the cutter-shredder mechanism than a large square balerbut the round baler requires good orientation of the stems to produce a uniform cylinder. Theselected design criteria are based on laboratory and field trials carried out with long stem willow. Theprototype was constructed in April-May 2006 and is being field tested over the next two years.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".