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Record W4407777846 · doi:10.1016/j.solener.2025.113375

Experimental impacts of transparency on strawberry agrivoltaics using thin film photovoltaic modules under low light conditions

2025· article· en· W4407777846 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSolar Energy · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPhotovoltaic Systems and Sustainability
Canadian institutionsWestern University
FundersCanada Foundation for InnovationWeston Family Foundation
KeywordsTransparency (behavior)Photovoltaic systemMaterials scienceOptoelectronicsThin filmEnvironmental scienceEngineering physicsOpticsComputer scienceNanotechnologyElectrical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

• Effects transparency levels in thin-film cadmium telluride (Cd-Te) PV modules on strawberry growth. • Seven transparency levels (10% to 80%) varying photosynthetically active radiation (PAR) values. • strawberries under 70% transparency PV achieved a fresh weight 140.6% of the average control, • 40% transparency maintained over 80% yield, suitable for agrivoltaics yield mandates. • Canadian strawberry farms could generate 595–1,786 GWh of solar electricity annually. This study determines the effects of varying lighting conditions from agrivoltaics on strawberry growth and yield by investigating strawberry production under thin-film cadmium telluride PV modules. The goal of this study was to assess the impact of varying PV transparency on strawberry yield and growth under Cd-Te PV modules, and to evaluate the potential of agrivoltaics as a sustainable solution for strawberry production in northern climates. Seven levels of transparency (10%, 30%, 40%, 50%, 60%, 70%, and 80%) were tested, which resulted in varying photosynthetically active radiation (PAR) values under each PV module type. Modules were tested in a controlled environment designed to replicate outdoor conditions of London Ontario, with regulated temperature and lighting. Strawberry fresh weight, plant height, leaf count, and flower count were quantified. The results indicate that strawberries grown under 70% transparency PV exhibited a fresh weight 140.6% of the average control. Additionally, 40% transparency maintained a greater than 80% yield making them viable in all regions with agrivoltaics yield mandates. Increased transparency in PV modules also correlated with a higher number of leaves, while height correlation was complex. If Canadian strawberry farms converted to agrivoltaics, between 595 and 1,786 GWh of solar electricity could be generated and globally strawberry agrivoltaics offer an electrical potential ranging from 58 to 173 TWh. The adoption of agrivoltaics in the strawberry sector could facilitate energy self-sufficiency and transform it into a net electricity exporter, generating additional revenue for farmers.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.986

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)0.0010.000

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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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