Research Article
Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data
Table 1
Initial monitoring data of aquaculture water quality.
| Data collection time | Water temperature (°C) | Air temperature (°C) | Illuminance (w.m2) | Humidity (RH%) | pH | Wind value | Ammonia nitrogen concentration (mg.l) |
| 1 day | Twenty-one | Twenty-two | 1251.65 | 65.45 | 7.05 | 2 | 3.58 | 2 days | 17 | 20 | 1345.54 | 75.45 | 6.97 | 2 | 3.78 | 3 days | 19 | Twenty-one | 1054.54 | 68.54 | 6.45 | 2 | 3.89 | 4 days | Twenty-one | 25 | 1454.56 | 61.54 | 6.79 | 2 | 3.85 | 5 days | 17 | Twenty-one | 954.14 | 73.54 | 7.06 | 3 | 4.15 | 6 days | 18 | Twenty-two | 1254.52 | 76.45 | 6.87 | 2 | 4.15 | 7 days | 17 | Twenty-three | 1354.45 | 72.45 | 6.78 | 2 | 3.45 | 8 days | 18 | Twenty-four | 1385.54 | 64.56 | 6.65 | 4 | 3.56 | 9 days | 19 | Twenty-one | 1256.54 | 67.54 | 6.67 | 1 | 3.54 | 10 days | 19 | 20 | 1156.5 2 | 78.54 | 6.87 | 2 | 3.45 | 11 days | 20 | Twenty-one | 1005.54 | 76.45 | 6.79 | 2 | 3.75 | 12 days | Twenty-one | Twenty-two | 1234.54 | 71.54 | 6.97 | 3 | 3.56 |
|
|