Automated Fertilizer and Water Delivery System for Potted Plants
Bibliographic record
Abstract
A system capable of accurately administering controlled amounts of nutrients to potted plants was developed in support of experiments to study the effects of growing conditions on the reflectance of plants. This article outlines the components involved with such a nutrient delivery system and the tests performed to describe its performance. Eight solenoid valves, one gear pump, three manifolds, 48 emitters, tubing, electronics, storage tanks, and a data logger were used to construct an automated delivery system. The system was capable of delivering water and three different nutrients to 48 plants growing under three different nutrient regimes. In order to be able to describe the system's performance, three tests (a flush test, an emitter flow rate test, and a uniformity test) were completed. The results of the emitter flow rate test were an average of 71.5 mL/min, standard deviation of 2.7 mL/min, and coefficient of variance of 3.8%. The flush test indicated that 20 s was required to flush the system entirely of a 2000-ppm NaCl solution. The uniformity test indicated a salt solution was administered to a group of emitters within 2% of the expected quantity.
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 | 0.000 | 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".