Abstract
In view of the current intelligent agriculture's collection and processing of production site data and the control requirements of related equipment, ZigBee, WiFi, GPRS traditional wireless sensing technology has short trans-mission distance and signal interference in greenhouse environment monitoring systems such as large-scale farms. Short-comings such as complex net-working, this work proposes a low-power farm environment detection system based on LoRa wireless technology. This model can use various sensors in the laboratory to complete the detection of soil and model environmental parameters, and implement lighting control and irrigation control, cooling control and man-machine control. The designed system sleep current is as low as 0.3μA, the average working current, has the advantages of long transmission distance and low power consumption. After verifying the feasibility of the technology through an experimental model, the system was applied to a specific greenhouse and data collection and analysis were completed.
Existing System:
The current intelligent agriculture's collection and processing of production site data and the control requirements of related equipment, ZigBee, WiFi, GPRS traditional wireless sensing technology has short trans-mission distance and signal interference in greenhouse environment monitoring systems such as large-scale farms. Short-comings such as complex net-working.
Proposed System:
It
is proved that the intelligent farm monitoring system based on LoRa wireless
transmission technology is feasible. Selecting a dragon fruit greenhouse for
on-site testing can realize greenhouse temperature, air humidity, soil
moisture, greenhouse carbon dioxide concentration, and shed. The collection of
internal light intensity, these data can help farm managers better understand
the growing environment of crops, with good real-time and effectiveness.
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