Designing a prototype of press tool for the in-field pressing of sweet sorghum and sweet pearl millet biomass
Bibliographic record
Abstract
With the growing demand for biofuels, ethanol production is rising.Alternative energy crops have been investigated to get better yield from little resources.Sweet sorghum and sweet pearl millet are promising energy crops.However, the sugar is mainly located in the juice rather than in the grain.Usually, the biomass of these crops is carried to a plant where it is handled like that of sugarcane.With the rise of the transportation fees, carrying the biomass leaves less profit to the producer and causes the loss of organic matter or forage.The objective of the research study was to design, build, and test an infield mobile juice extraction prototype press.This allows pressing on-the-run the biomass harvested with a forage harvester.The pressed material (bagasse) is dumped on the ground while the juice is collected.The prototype press was built in the summer of 2014 and preliminary tests were carried out in the field.Obtained results are promising as 57% of the total water was extracted.More tests will be carried out to optimize the prototype press.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".