Produktion av krukodlade örtkryddor i växthus och dess utsläpp av växthusgaser i Sverige
Bibliographic record
Abstract
Abstract The global average temperature has increased by 0,74°C over the last 100 years. Most probably, the explanation is due to increasing use of fossil fuels and the agricultural expansion of land use. The new life stile of mankind leads to increasing concentrations of greenhouse gases in the atmosphere. Food consumption contributes with approximately a quarter of the total greenhouse gas emission per person and year, why it is an important task to reduce these. The aim of this work is to quantify energy use and greenhouse gas emissions for (Swedish) herbs produced in Swedish greenhouses. The study is based on a LCA (Life Cycle Assessment) and collected data from participating companies producing herbs in pots. The examples of the study show that it is the heating and electricity consumption which accounts for the largest share of emissions. The sum of the total greenhouse gas emission for a Swedish greenhouse produced spice is 0,07 carbon dioxide equivalents. The study estimate is that for the participating companies the possible reduction of greenhouse gas emissions through energy saving measures, by almost 80 %. Sammanfattning Den globala medeltemperaturen har okat med 0,74°C de senaste 100 aren. Det mest sannolika ar att det ar manniskans okade anvandning av fossila branslen och utokade markanvandning som ar orsaken. Manniskans andrade levnadsvanor medfor stigande koncentrationer av vaxthusgaser i atmosfaren. Eftersom livsmedelskonsumtionen bidrar med cirka en fjardedel av det totala vaxthusgasutslappet per person och ar ar det viktigt att arbeta for att minska denna. Regeringen har, pa initiativ av miljoministern, jordbruksministern och integrations- och jamstalldhetsministern, uppmanat till en val genomtankt klimatmarkning av livsmedel. KRAV och Svenskt Sigill har startat ett projekt for att utveckla markningssystem for livsmedel. Syftet med den har studien ar att kvantifiera energianvandning och vaxthusgasutslapp for svensk produktion av krukodlade ortkryddor i vaxthus. Undersokningen grundar sig pa uppgifter fran medverkande ortkryddodlingsforetag och kan ses som exempel pa utslappsnivaer. Exemplen i studien visar att det ar uppvarmningen och elforbrukningen som star for den storsta andelen av utslappen. Summan av det totala vaxthusgasutslappet for en vaxthusproducerad ortkrydda i aktuella foretag ar 0,07 koldioxidekvivalenter. Det effektivaste sattet att minska vaxthusgasutslappet ar att overga fran fossiluppvarmning till fornybar, miljovanligare uppvarmning. Darefter kommer elforbrukningen, dar man genom avtal med elleverantoren kan valja miljoel . Det totala vaxthusgasutslappet for de medverkande foretagen kan enligt studiens uppskattning reduceras med nara 80 procent.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".