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.
| Crop | Temp. (°C) | pH values | Light [k Lux] | CO2 | Moisture | Soil | Air |
| Carnation | 16–22 | 5.5–7.0 | 45–50 | 1000 | 16 | 65 | Gerberas | 27–30 | 5.5–6.5 | 35–40 | 1000 | 17 | 65 | Anthodium | 24–26 | 5.5–6.5 | 18–35 | 1000 | 20 | 75 | Tomato | 16–35 | 5.5–7.0 | 30–40 | 1500 | 16 | 65 | Roses | 15–30 | 4.0–5.5 | 30–40 | 1000 | 17 | 70 |
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