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Record W4249063276 · doi:10.20474/-japs1.1.5

Designing a prototype of press tool for the in-field pressing of sweet sorghum and sweet pearl millet biomass

2015· article· en· W4249063276 on OpenAlexaff
Nicholas Lefebvre, Mohamed Khelifi, De Ladurantaye

Bibliographic record

VenueJournal of Applied and Physical Sciences · 2015
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSweet sorghumPearlBiomass (ecology)SorghumAgronomyField (mathematics)Agricultural engineeringEnvironmental scienceEngineeringBiologyMathematicsGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.129

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.262
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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