Landless Urban Rooftop Farming Context of Soilless Culture for Microbe Frees Cultivation, Roof Security and Environmental Sustainability
Bibliographic record
Abstract
Landless rooftop farming is an artificial cultivation on the roof which uses organic solid or liquid media called solution culture “media culture” or water culture “hydroponics”. Media culture and hydroponics has been used sporadically throughout the world in rooftop and tissue culture also has been used the world as commercial means of growing both food and ornamental plants. It supplies fresh vegetables in countries with limited arable land as well as in small countries with large populations. Plants grown by hydroponics have concisely superior quality, high yield, rapid harvest, and high content, at present it is used widely in research facilities as a technique for studying plant nutrition. Gravel or sand is sometimes used in soilless systems to provide plant support, and retain some nutrients and water. The retention and water can be for their improvement through the used materials, but others such as rice hulls, bagasse, sedge peat, and sawdust are used sometime as constituents in soilless mixture straw bales have been used as the growing medium in England and Canada. Rockwool (porous stone fiber) is used in Europe. Since the major constituent of the media in artificial growing systems may be solid or liquid, it is appropriate to use the term soil culture in reference to this general type of growing system and reserve the term hydroponics for those in which water is the principal constituent. Soilless organic media preparation and use has a tremendous effect in land less culture. It is basically used in Rooftop vegetable cultivation.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".