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The two biggest losses in farming come from over-irrigation (water and energy waste, root rot) and late intervention (yield drops before stress is detected). A precision agriculture IoT system solves both with data.
At Digital Bridge we design field-specific sensor networks and deploy wireless data transmission infrastructure. Captured data is pushed to a cloud platform and visualized; irrigation systems trigger automatically.
High-precision FDR or TDR soil-moisture sensors placed at multiple depths (10, 30, 60 cm). Irrigation decisions follow the plant's actual water need; over- and under-irrigation are eliminated.
Soil pH and temperature sensors optimize fertilization and planting timing. Acid/base imbalances are caught early to prevent yield loss.
LoRaWAN or NB-IoT network that works in field corners with no power or internet. Battery-powered nodes lasting years. Long range (2–15 km) covers a wide area with a single gateway.
Field-level air temperature, humidity, rainfall, wind speed and solar radiation are measured live. Evapotranspiration based on local weather optimizes irrigation amounts.
Irrigation valves open automatically when soil moisture falls below a threshold and close when the threshold is met. Schedule optimization for early morning or low-evaporation conditions.
Live sensor values, irrigation status and alarm notifications are visible on a smartphone, even far from the field. One-tap manual override for irrigation. Weekly soil-health reports.
A precision agriculture IoT system installed on a 200-decare cotton field in Adana delivered 25–30% water savings per season. Data-driven fertilization optimization lifted yield per decare by 12%.