Research Article
Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods
Table 2
Pearson’s 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 | −0.179 | −0.124 | −0.212 | 0.092 | 0.116 | 0.028 | act_heating | −0.075 | 1.000 | −0.019 | 0.184 | 0.067 | −0.143 | −0.114 | −0.155 | −0.074 | act_solenoid_valve | 0.013 | −0.019 | 1.000 | 0.374 | 0.037 | 0.047 | 0.031 | 0.015 | 0.002 | co2_ppm | −0.179 | 0.184 | 0.374 | 1.000 | 0.259 | 0.133 | 0.024 | −0.060 | −0.088 | ground_humidity_per | −0.124 | 0.067 | 0.037 | 0.259 | 1.000 | 0.115 | 0.230 | −0.029 | 0.244 | hum | −0.212 | −0.143 | 0.047 | 0.133 | 0.115 | 1.000 | −0.060 | −0.245 | −0.596 | light_Intensity | 0.092 | −0.114 | 0.031 | 0.024 | 0.230 | −0.060 | 1.000 | 0.850 | 0.390 | Luminosity | 0.116 | −0.155 | 0.015 | −0.060 | −0.029 | −0.245 | 0.850 | 1.000 | 0.448 | temp | 0.028 | −0.074 | 0.002 | −0.088 | 0.244 | −0.596 | 0.390 | 0.448 | 1.000 |
|
|