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Reliable Farm Data Anywhere with LoRaWAN and Smart Irrigation
- 5 days ago
- 7 min read
A farm can sit kilometres from the nearest reliable Wi-Fi signal and still depend on live data every day. Soil moisture, rainfall, tank levels, frost risk, pump status and flow rates all affect decisions that cost time, water, power and crop yield.
That is where site-built smart agriculture makes a real difference.
ProSense smart-agriculture systems connect sensors, meters and irrigation controls across large properties using communications such as LoRaWAN, NB-IoT, LTE-M and 4G. The aim is simple: get useful farm data from the paddock, dam, tank, pump shed or irrigation line to the people who need it, without assuming there is Wi-Fi everywhere.
Remote farms need more than a Wi-Fi extender
Wi-Fi works well around homes, sheds and packing facilities. It is not built to cover distant paddocks, creek crossings, tanks, frost-prone low spots or pump stations spread over a large property.
Many farm assets sit in awkward places:
A header tank on a ridge
A soil probe in a back paddock
A weather station in an exposed block
A flow meter beside a mainline
A pump shed near a bore or dam
A valve bank several gates away from the office
Running cable is often expensive or impractical. Relying on staff to drive out and check every point can waste hours, especially during irrigation season or a frost event. Mobile reception may also vary across the farm, with some zones having good service and others having little or none.
A well-designed system does not start by asking, “Where is the Wi-Fi?” It starts by asking better questions.
Where does data need to come from? How often does it need to report? What needs control, not just monitoring? Where is mains power available? Where will solar make more sense? Which communication method will work across the whole site?
That thinking is central to ProSense systems. They are built around the property, the assets and the jobs that need doing.
How LoRaWAN helps cover large properties
LoRaWAN is a low-power, long-range wireless technology. It suits farm monitoring because many sensors only need to send small packets of data, not video streams or large files.
A soil moisture probe, rain gauge, tank level sensor or flow meter may only need to report a reading every few minutes or at set intervals. LoRaWAN handles that kind of work well. It can send data over long distances while allowing sensors to run on low power, often with battery or solar support depending on the device and conditions.
On a farm, a LoRaWAN setup often includes:
Field sensors that collect the data
A gateway that receives sensor messages
Backhaul through internet, mobile network or another connection
A dashboard or alert system that displays readings and triggers notifications
The key benefit is coverage. Instead of trying to push Wi-Fi across every corner of a property, the system can use LoRaWAN to connect field devices back to one or more gateways placed where they make sense.
This is especially useful for assets that are far apart but only need to send simple data. For example, a farm may have soil probes across several irrigation zones, a rain gauge near a crop block, a tank sensor at a storage point and a flow meter on a main delivery line. These do not need high bandwidth. They need consistent, timely readings.
LoRaWAN is not the only answer, but it is often a strong fit for remote monitoring across wide areas.
Why NB-IoT, LTE-M and 4G still matter
No single communication method suits every farm. That is why ProSense systems can use LoRaWAN, NB-IoT, LTE-M or 4G, depending on the site.
Some areas have solid mobile coverage. Others have patchy coverage. Some devices need to send tiny sensor readings. Others may need more frequent control commands or stronger backhaul. A farm may even use a mix of communications across the same property.
Communication option | Where it can fit well | Common farm use |
LoRaWAN | Long-range, low-power sensor networks | Soil probes, tank sensors, rain gauges, flow monitoring |
NB-IoT | Low-data devices on supported mobile networks | Remote meters and static sensors |
LTE-M | Mobile network devices that need low power and better responsiveness | Monitoring and control devices with more frequent updates |
4G | Higher-capacity mobile data where coverage is available | Gateways, pump controllers and sites needing stronger backhaul |
The right choice comes from the site survey and the purpose of each device. A tank sensor in one location may work well on LoRaWAN. A pump controller may be better served by 4G. A remote meter may suit NB-IoT if the network conditions are right.
This flexible approach reduces the risk of forcing farm operations into a fixed package. It also makes the system easier to expand later. A grower might begin with soil moisture and tank monitoring, then add flow meters, frost alerts or valve control once the value is clear.
One system can monitor the farm and control irrigation
Monitoring is useful. Control is where smart irrigation becomes more powerful.
A connected system can show what is happening across water, weather and soil conditions. It can also help act on that information by controlling pumps and valves.
For example, one system can track:
Soil moisture
See how water moves through the profile and avoid relying only on surface conditions.
Rainfall
Use actual site rainfall rather than assuming the nearest town gauge reflects the farm.
Frost risk
Monitor local temperature and conditions in vulnerable blocks.
Tank levels
Know whether storage is rising, falling or close to empty without driving to the tank.
Water consumption
Track flow and usage across pumps, mains or irrigation zones.
Pump and valve activity
Control irrigation equipment remotely where the site design supports it.
This matters because the best irrigation decisions usually need more than one reading. Soil moisture may show the root zone is drying. Rainfall data may show a storm missed the property. Tank levels may tell whether enough water is available. Flow data may reveal a blocked line, leak or pump issue.
When those readings sit in one system, patterns become easier to see. A low tank level paired with an unexpected flow reading may need attention. A soil moisture trend that does not change after watering may point to distribution problems. Frost-risk alerts can help staff respond sooner, especially when the coldest part of the property is not near the house.
The result is not automatic farming on autopilot. It is better information at the right time, with control options where they make sense.
Smart irrigation should be designed around the site
A one-size-fits-all system can look simple at first, but farms are rarely simple.
Two properties can grow the same crop and still need different designs. Soil type, topography, water source, mobile coverage, distances, power supply and irrigation layout all change the best setup.
A practical design process looks at the property as a whole.
The assets that need monitoring
The system should start with the farm’s real assets, not a generic kit list. That may include soil probes, weather stations, tanks, dams, bores, flow meters, pumps, valves and fertigation equipment.
The goal is to connect the points that affect daily decisions.
The data that matters most
More data is not always better. Useful data should answer farm questions.
Is the crop using water faster than expected? Did the rain actually fall on that block? Is the tank refilling overnight? Did the pump start when scheduled? Is one irrigation zone using more water than it should?
These questions help decide what to install first.
The best communication path
A site may use one communication method or several. LoRaWAN may cover scattered field sensors. 4G may connect a gateway. LTE-M or NB-IoT may suit certain standalone devices.
A good design uses the connection that fits the job.
The power available at each point
Some locations have mains power. Others need solar or long-life battery options. A tank sensor on a ridge has different power needs to a pump shed with existing electrical infrastructure.
Power planning affects reliability, maintenance and long-term cost.
The control points that are worth automating
Not every valve needs remote control straight away. The best candidates are the points where control saves regular travel, reduces risk or improves timing.
This may include main pumps, key valves, filling systems or irrigation zones that need close management.
What reliable farm data changes day to day
Reliable remote data can improve small daily decisions, and those small decisions add up.
A manager can check tank levels before sending staff to start irrigation. A grower can compare soil moisture trends across blocks before changing a schedule. A frost alert can prompt an earlier response. A flow reading can confirm that water is moving as expected.
It also helps when things go wrong.
If a pump fails, a tank drops too fast or a valve does not open, earlier detection can reduce wasted water and downtime. If rainfall varies across the property, local readings can stop overwatering in one area and under-watering in another. If water consumption rises without a planned reason, flow data can help guide the next inspection.
For broadacre, horticulture, viticulture, livestock and mixed farming, the common value is visibility. Staff cannot be everywhere at once, especially across large Australian properties. Sensors and connected controls act like extra eyes on the assets that matter.
The system still needs good agronomy, sound maintenance and local judgement. Technology supports those decisions. It does not replace them.
A staged setup often works best
Many farms do not need to connect everything on day one. A staged approach can be more practical.
A first stage might focus on high-value monitoring:
Soil moisture in key blocks
Rainfall and local weather
Main tank levels
Flow at critical points
A second stage might add control:
Pump start and stop
Valve control for selected zones
Alerts for abnormal flow or low storage
More sensors in areas with different soil or crop conditions
A later stage may connect more of the irrigation network, add extra weather points or expand across another property.
This staged plan keeps the system tied to real farm needs. It also gives staff time to build confidence with the dashboard, alerts and remote-control functions.
The best systems grow with the property.
Reliable data starts with the right design
Remote farms do not need to accept blind spots just because Wi-Fi does not reach the paddock. With the right mix of LoRaWAN, NB-IoT, LTE-M and 4G, a smart-agriculture system can connect the sensors and controls that keep water, soil and equipment visible.
ProSense systems are built around the site. That means the communications, sensors, power and control points are chosen for the property, not forced into a fixed package.
The real value is simple. Know what is happening sooner. Use water with more confidence. Reduce unnecessary trips. Control pumps and valves where remote control saves time. Build a system that suits the farm as it is, and can grow as the operation changes.
