A Wi-Fi Positioning System for Material Transport in Greenhouses
Why this work is in the frame
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Bibliographic record
Abstract
In greenhouse farming, lots of materials need to be transported to the greenhouse in many phases. However, the current transport method is too costly and time-consuming to meet the material demand of modern greenhouses. To solve the problem, this paper presents a novel positioning system based on Wi-Fi for material transport in greenhouses. Firstly, the base station (BS) nodes were selected and deployed according to the signal attenuation model. Next, the STM32F103RE microcontroller and ESP8266 chip were adopted to design low-power positioning node and communication node. After that, a positioning algorithm was formulated based on received signal strength indication (RSSI) ranging and maximum likelihood estimation (MLE). Finally, the initial positioning system was verified through simulation and experiments, and then the vehicle posture was corrected with grayscale sensors and cross marks. After the correction, our Wi-Fi positioning system can position the targets in greenhouses accurately, enabling the unmanned vehicle to transport the materials required for sowing, fertilizing, picking, etc. Our research results provide a good reference for the design of indoor positioning systems.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it