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A precision agriculture IoT system brings soil moisture, pH and weather sensor readings from the field into one dashboard over a wireless network and ties irrigation to them. When moisture drops below your threshold, the valve or pump starts; at the target level, it stops. Water and pumping energy go only to the plots that need them.
On many farms, irrigation is still scheduled by habit, by the calendar or by someone walking the field and checking the soil by hand. That costs you twice: one plot gets more water than it needs, wasting water and pump electricity, while another is already under stress by the time anyone notices and the yield has taken the hit. The larger the holding, the less realistic it is to check every plot every day.
Digital Bridge designs the sensor network around your land, installs the wireless infrastructure and commissions the smart irrigation system. Because the same team builds the sensors, the transmission hardware and the software, there is no gap between whoever installed the field kit and whoever runs the platform; see device manufacturing and IoT for our hardware work.
Sensors sit at several depths (for example 10, 30 and 60 cm) to follow the root zone. You can see whether water is actually reaching the roots and how long it stays there, and set irrigation duration and intervals accordingly.
pH and soil temperature are logged continuously, so fertiliser applications and planting dates are based on measurements rather than estimates. A drift in soil acidity shows up before it shows up in the harvest.
Battery-powered sensor nodes work in the corners of the field where there is no mains power or internet. On LoRaWAN, a single gateway can often cover several kilometres; actual coverage depends on terrain and obstacles and is confirmed during the site survey.
Air temperature, humidity, rainfall, wind and solar radiation are measured on your own land. This feeds the evaporation calculation, and irrigation is automatically postponed after rain.
Valves or pumps start when moisture falls below the threshold and stop when the target level is reached. Scheduling rules can shift irrigation to low-evaporation hours or to a cheaper electricity tariff.
Moisture levels for every plot, active valves and fault alerts are on your phone. You can start or stop irrigation remotely when needed; every action is logged, and at the end of the season water use is reported plot by plot.
On a 200-decare cotton field in Adana, we linked irrigation to soil-moisture readings and saved 25–30% of water over the season. Fertiliser applications planned from sensor data raised yield per decare by 12%. If you also want to monitor the whole holding from the air, we can combine this with drone data processing; for our wider work with farms, see agriculture and livestock.
A precision agriculture IoT system brings readings from soil moisture, soil pH, soil temperature and weather sensors in the field into one dashboard over a wireless network. Irrigation and fertiliser decisions are then based on measurements rather than the calendar. When soil moisture drops below your threshold, irrigation starts automatically and stops at the target level, so water and pumping energy go only where they are needed.
Soil moisture sensors are placed at several depths, for example 10, 30 and 60 cm, to follow the root zone. When moisture falls below the threshold you set, a valve or pump starts; when the target level is reached, it stops. Irrigation is postponed after rain, and scheduling rules can shift watering to low-evaporation hours or to a cheaper electricity tariff.
Yes. Battery-powered sensor nodes are used in parts of the field with no mains power or internet, and data is sent over low-power, long-range networks such as LoRaWAN or NB-IoT. On LoRaWAN a single gateway can often cover several kilometres, but actual coverage depends on terrain and obstacles, so it is measured and confirmed during the site survey.
It depends on the crop, the soil and how irrigation is managed today. As one example, on a 200-decare cotton field in Adana where we linked irrigation to soil-moisture readings, water use fell by 25–30% over the season, and fertiliser applications planned from sensor data raised yield per decare by 12%. For your own land, a realistic estimate follows the site survey.
It suits open-field vegetables and fruit, vineyards and orchards such as grape, olive and citrus, nut crops like hazelnut and almond, industrial crops such as cotton and maize, cereals, greenhouses, dairy farms and pasture management, as well as landscaping and golf-course irrigation. The number and placement of sensors are designed around the crop and the size of the holding.
Moisture levels for every plot, active valves and fault alerts appear in a mobile app. Irrigation can be started or stopped remotely from the phone when needed. Every action is logged, and at the end of the season water use is reported plot by plot, so you can see which plots used how much water and plan the next season accordingly.
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