Observational analysis reveals temperature and humidity trends in a greenhouse, suggesting more effective agricultural management.
Real-time data of environmental factors such as temperature, soil moisture, and humidity are essential not only in climate studies but also agriculture since they have a big impact on crop yield, growth, and health. In addition, knowledge of these factors can assist farmers to improve growing conditions by comprehending and controlling the factors, which will boost productivity and profitability, avoid pests and diseases and minimize resource waste. The proposed work uses the ThingSpeak platform to visualize real-time environmental monitoring data from a greenhouse system. Temperature, humidity, and soil moisture sensor readings were gathered and sent to the cloud for display and analysis. Dynamic changes in the greenhouse environment during a recorded period are revealed by the data. Around 17:37:04, the temperature showed a significant increase, going from about 23.7 °C to 24.6 °C and gradually increasing during the evening to decreasing in later part of the night. In general, the humidity trended upward, beginning at about 64% and peaking at about 87% in the most recent measurements. Around 17:36:12, there was a noticeable variation in the soil moisture levels; they were high at first, then dropped precipitously, recovered, and then began to diminish gradually. These data points offer important insights into the greenhouse's microclimate and the possible effects of external influences or automated control systems on these crucial environmental parameters. Effective visualization and almost real-time monitoring of these crucial agricultural factors were made possible by the ThingSpeak platform.
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Gogoi et al. (2025) studied this question.
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