Smart farming often brings to mind a sensor stuck in a field. But the sensor is only the first link. An IoT system that really helps growers has four layers.
1. Sensing: collecting field data
Soil moisture, soil and air temperature, humidity, rainfall and leaf wetness are measured by sensors. Placing them so they represent different parts of the field matters as much as choosing them.
2. Connectivity: moving the data
Fields don't always have strong mobile signal, so long-range, low-power wireless technologies such as LoRa are common. Sensor nodes are designed to run for long periods on batteries or small solar panels.
3. Processing: making data meaningful
Data collected in the cloud is combined with weather forecasts and crop information. Irrigation needs are calculated, disease-risk thresholds are tracked and, once enough data builds up, AI models can predict yield.
4. Decision: reaching the grower's phone
The most valuable data reaches the right person at the right moment. The mobile app shows plain alerts such as "Soil moisture in Plot B is below threshold; irrigation recommended today", and the irrigation system can act on it automatically.
What growers gain
- Water and energy savings: no irrigation when it isn't needed.
- Lower input costs: fertiliser and spraying timed by data.
- Risk management: frost and disease risk spotted early.
- Records: a traceable history of what was done on each plot.
When each layer comes from a different vendor, mismatches are common. At Orellian we run R&D projects that develop the layers together, from sensor hardware to the mobile app, and we're open to pilots with machinery makers and growers.