MétaCan
Menu
Back to cohort
Record W6980279302

The Black Soldier Fly, Hermetia illucens Linnaeus (Diptera: Stratiomyidae): A Novel Approach to Combat Food Waste in Windsor-Essex.

2023· dissertation· en· W6980279302 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsHermetia illucensFood wasteBiodegradable wasteMunicipal solid wasteGreen wasteMechanical biological treatmentWaste treatment
DOInot available

Abstract

fetched live from OpenAlex

Within Ontario alone, approximately 3.7 million tonnes of organic food waste is generated yearly. This waste includes food scraps, wasted food, and plant wastes such as leaves, plant stems, and fruit. Most of it is transported to landfills for composting each year, but the use of landfills as a method of waste management is not sustainable. It adds strain to the environment by releasing harmful greenhouse gases and by demanding landfill space. The current protocols set by the Ontario government, while promising, do not address methods that support the safe disposal of organic waste and conversion into valuable end products that could contribute economic benefits, the black soldier fly presents an opportunity to address this lack. The black soldier fly, Hermetia illucens Linnaeus (Diptera: Stratiomyidae) has the potential to reduce organic waste, including kitchen waste and manure. My dissertation investigated the black soldier fly as a means of waste management within Windsor-Essex, and its role in converting food waste into economically valuable end products. I investigated the black soldier fly’s ability to consume local municipal food waste from within this region. The flies reduced approximately 70% of the waste, and allowed me to develop a baseline for black soldier fly waste reduction within the area. As I measured slower development to adult and reduced waste reduction efficiency compared to a control diet of poultry feed, I investigated the potential role of pre-digestion and fermentation with beneficial microbes in the black soldier fly waste reduction process with the goal of improving the baseline waste reduction efficiency. Fermentation time impacted development and waste reduction efficiency of the black soldier fly. Diets fermented for 0 days had a positive influence on the survival and bioconversion efficiency of the black soldier fly, while diets fermented for 2 days had a positive influence on the relative growth rate and waste reduction efficiency. Diets fermented for longer than 2 days negatively affected the black soldier fly development, growth and waste conversion efficiency. The results show that using beneficial microbes is not straightforward and might depend on the purpose of the bioconversion process. Since larval density influences the waste conversion efficiency, it is essential to rapidly quantify egg numbers for introduction to waste streams. Thus, I developed a commercially-scalable model to quantify the number of eggs oviposited by female black soldier flies based on egg mass weight or volume. The model was created using linear regression of egg masses across a range of sizes and relating egg number to relate egg mass weight or volume. Once the linear equation was developed, it was validated with a new set of egg masses of varying sizes. Egg mass volume and weight were positively correlated to the number of eggs deposited in an egg mass, and either can be used to estimate the number of eggs within egg masses. Finally, I investigated the use of black soldier fly processing residue (residual wastes, shed exoskeletons, and frass) as a fertilizer for an economic value-added product. Tomato seeds were planted in an inert growing media (coconut coir) with three concentrations of the processing residue and compared to a control of slow-release fertilizer. The two highest concentrations of black soldier fly processing residue resulted in failed germination, whereas the lowest concentration supported germination and growth with larger root and shoot biomass, larger leaf area, and a higher number of flowering trusses compared to the slow-release fertilizer treatment. Together, my research provides valuable new insight into the black soldier fly’s waste conversion ability, an essential tool for commercially-scalable methods of quantifying egg numbers in a non-destructive and timely manner that allows the establishment of optimized feed rates for the black soldier fly in waste management, and a useful end product to promote a circular economy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.044
GPT teacher head0.276
Teacher spread0.231 · 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.

Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueScholarship at UWindsor (University of Windsor)Same topicMemory, Trauma, and CommemorationFrench-language works237,207