Research Article
Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods
Table 1
Exploratory analysis of the variables in the greenhouse.
| Variable | Mean | Standard deviation | Skewness coefficient | Kurtosis | 0% | 25% | 50% | 75% | 100% |
| act_fan | 0.15253936 | 0.35954581 | 1.9328377 | 1.73591780 | 0 | 0.00000000 | 0.00000000 | 0.0000000 | 1 | act_heating | 0.11383125 | 0.31760876 | 2.4318046 | 3.91380017 | 0 | 0.00000000 | 0.00000000 | 0.0000000 | 1 | act_solenoid_valve | 0.03355672 | 0.18008662 | 5.1803775 | 24.83711288 | 0 | 0.00000000 | 0.00000000 | 0.0000000 | 1 | co2_ppm | 0.09974095 | 0.08708806 | 3.5546924 | 19.58887848 | 0 | 0.05239229 | 0.08400087 | 0.1121455 | 1 | ground_humidity_per | 0.62709550 | 0.21353123 | −0.6608821 | −0.33038421 | 0 | 0.50000000 | 0.70370370 | 0.8148148 | 1 | hum | 0.87382599 | 0.15438635 | −1.3320890 | 1.50554501 | 0 | 0.78802395 | 0.94011976 | 1.0000000 | 1 | light_Intensity | 0.24009555 | 0.18741405 | 1.1521273 | 0.02054868 | 0 | 0.12153734 | 0.12153734 | 0.4061441 | 1 | Luminosity | 0.18616786 | 0.22691410 | 1.3011977 | 0.62474161 | 0 | 0.02197373 | 0.05108137 | 0.3270054 | 1 | temp | 0.33717349 | 0.16374756 | 0.1102891 | −0.76813738 | 0 | 0.18143460 | 0.37552743 | 0.4556962 | 1 |
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