The Role of Black Soldier Fly, Hermetia illucens (L.) (Diptera: Stratiomyidae) in Sustainable Waste Management in Northern Climates
Bibliographic record
Abstract
This research assessed the feasibility of using Black Soldier Fly, Hermetia illucens, in cold weather climates to manage organic wastes. The goal was to determine if the flies could be kept alive year round in a controlled facility when exterior conditions turned inhospitable. A proof-of-concept experiment was undertaken by constructing a small research facility in Windsor, Ontario, Canada at the Essex Windsor Solid Waste Authority's Landfill Site inside two greenhouses. Although the data collected were highly variable, the experimental trials demonstrated that the design process was successful overall: Hermetia illucens can be propagated successfully in controlled environments in cold weather conditions. Key design parameters were investigated, including the waste consumption rate per maggot per day and the waste application rate. These parameters where then used as a basis for the design of a prototype waste processing facility utilizing BSF as the treatment method. A mass balance of the relevant flows and a life cycle inventory was conducted as precursors to future life cycle assessments of this process. A limited cost assessment was included to determine the economic feasibility of operating a BSF waste processing facility year-round in winter climates. The cost analysis revealed that the current design, under research conditions, could be economically viable and improvements to the process are necessary. These improvements include the more efficient use of electricity, water, natural gas and three dimensional waste processing via the use of aeration to the food pile.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".