Climate-Responsive Precision Farming for Sustainable Agricultural Practices
Keywords:
Agriculture, Cisco packet tracer, DHT11 sensor, Humidity control, Internet of Things, NodeMCU, Temperature controlAbstract
Variable greenhouse conditions require frequent observation if temperature, humidity, soil moisture, and light exposure are to remain within crop-specific ranges. This study develops an Internet of Things (IoT) framework for climate-responsive precision farming. The work has two complementary parts. First, Cisco Packet Tracer is used to model sensing, communication, and rule-based actuation for temperature, humidity, soil moisture, and fire-safety functions. Second, a NodeMCU prototype equipped with a DHT11 sensor and an infrared light-detection module acquires temperature, relative humidity, and sunlight-status data and publishes them to an IoT dashboard. The simulation demonstrates the intended response of the heater/cooler, humidifier, sprinkler, alarm, and fire-suppression components when their input conditions change. During the reported 24-hour hardware observation, temperature ranged from 28 °C to 35 °C and relative humidity ranged from 50% to 75%; the corresponding means were 32 °C and 65%. The prototype also recorded sunlight-detection events for estimating exposure duration. These results establish functional feasibility for remote environmental observation, but they do not yet quantify agronomic benefits or measurement accuracy. Future work should compare the sensors with calibrated references, evaluate the system across seasons and crops, and incorporate predictive control.
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