Research Article

An Artificial Neural Network-Based Pest Identification and Control in Smart Agriculture Using Wireless Sensor Networks

Table 1

Input variables for the system.

CropTemp. (°C)pH valuesLight [k Lux]CO2Moisture
SoilAir

Carnation16–225.5–7.045–5010001665
Gerberas27–305.5–6.535–4010001765
Anthodium24–265.5–6.518–3510002075
Tomato16–355.5–7.030–4015001665
Roses15–304.0–5.530–4010001770