Research Article
Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods
Table 3
Spearman correlation matrix of the variables in the greenhouse.
| Variable | act_fan | act_heating | act_solenoid_valve | co2_ppm | ground_humidity_per | hum | light_Intensity | Luminosity | temp |
| act_fan | 1.000 | −0.075 | 0.013 | −0.261 | −0.125 | −0.190 | 0.084 | 0.140 | 0.038 | act_heating | −0.075 | 1.000 | −0.019 | 0.221 | 0.086 | −0.181 | −0.134 | −0.229 | −0.066 | act_solenoid_valve | 0.013 | −0.019 | 1.000 | 0.244 | 0.044 | 0.040 | 0.050 | 0.034 | 0.005 | co2_ppm | −0.261 | 0.221 | 0.244 | 1.000 | 0.217 | 0.164 | 0.147 | −0.043 | −0.101 | ground_humidity_per | −0.125 | 0.086 | 0.044 | 0.217 | 1.000 | −0.054 | 0.246 | 0.020 | 0.241 | hum | −0.190 | −0.181 | 0.040 | 0.164 | −0.054 | 1.000 | −0.106 | −0.216 | −0.584 | light_Intensity | 0.084 | −0.134 | 0.050 | 0.147 | 0.246 | −0.106 | 1.000 | 0.831 | 0.398 | Luminosity | 0.140 | −0.229 | 0.034 | −0.043 | 0.020 | −0.216 | 0.831 | 1.000 | 0.441 | temp | 0.038 | −0.066 | 0.005 | −0.101 | 0.241 | −0.584 | 0.398 | 0.441 | 1.000 |
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