Greenhouse Networked Control System Design Methodology to Minimize Cost & Downtime
Bibliographic record
Abstract
Smart greenhouses enable the cultivation of various crops in different environmental conditions. Wireless Sensor Networks (WSNs) and Networked Control Systems (NCSs) could be utilized within greenhouses to access, control and monitor different environmental parameters. This paper studies a greenhouse with a special focus on the wireless NCS. It first shows how to use the 2.4GHz frequency band while minimizing Access Point (AP) cost and maintaining an acceptable Packet Loss Rate (PLR). Second, fault-tolerant AP architectures are studied, and a metric is proposed which incorporates AP failure and repair rates, as well as NCS information efficiency to help management select an appropriate architecture, to minimize profit loss. This metric is shown to produce some counter-intuitive results. Finally, Riverbed simulations are used to obtain the minimum sensor transmission power to produce the minimum acceptable PLR in the context of the 2.4GHz band. This power is much lower than that for the 5GHz band; this will prolong sensor battery lifetime.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 0.006 |
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 teacher head, 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".