Design and Build Temperature and Humidity Control Equipment in IoT-Based Rice Storage
Bibliographic record
Abstract
This research aims to design and build a temperature and humidity control device in an Internet of Things (IoT)-based rice storage bin using the Blynk platform, ESP8266 module, DHT22 sensor, buzzer, 2-channel relay, fan, and lamp. The quality of rice is greatly affected by the conditions of the storage environment, especially temperature and humidity. Therefore, a system is needed that is able to monitor and control these two parameters in real-time to maintain the quality of rice during storage. The system is designed to use a DHT22 sensor to detect temperature and humidity, and then the data is sent to a ESP8266 microcontroller. A 2-channel relay sets the fan and lights to adjust the temperature and humidity, while the buzzer serves as a warning alarm. In addition, the system is equipped with an automatic notification feature through the Blynk application that informs users if the temperature or humidity exceeds a predetermined limit.
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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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".