Hydronic root zone temperature control system for a Chinese solar greenhouse
Bibliographic record
Abstract
The mono-slope Chinese solar greenhouses (CSGs) are the main facilities for year-round vegetable production. A hydronic root zone temperature control system (HRZTCS) was tested to improve the greenhouse environment and increase production in a CSG. This system utilizes a chiller as the source of cooling, a flat-plate solar collector to collect solar heat as the heat source, and water as the heat exchange medium, which is pumped into the plant root zone using polyethylene piping with thermal insulation. In the summer experiment, the test areas T S and T D (T S represents a single cooling pipeline, T D represents double cooling pipelines) and a control area (CK) (without cooling) were established. In the winter experiment, trial areas T S and T N (where N and S represent north and south, respectively, with double heating pipelines) and a control area (CK) were established. The HRZTCS achieved a cooling heat-transfer efficiency of 74 % in summer and a heating heat-transfer efficiency of 60.7 % in winter. The coefficient of system performance (COP) of the refrigeration system was 6.2–7.3, effectively reducing the root zone temperature by 5.9–7.5 °C. The temperature was controlled at 24.1–25.5 °C. In winter, the average heat collection efficiency was 66.1 %, resulting in a 5.5 °C increase in the root zone temperature. HRZTCS had a positive impact on the root environment of tomatoes, promoting tomato yield and improving survival, thereby significantly extending the plant growth season of CSGs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".