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Industries · Agriculture

Know the field before you walk it

Farms cover wide areas with few people and patchy connectivity. LIOMO brings sensors, long-range networks and software together so growers can see field, storage and machinery conditions from one place.

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Illustrative interface · demo data. A farm dashboard with six field zones shaded by soil moisture, one zone below its irrigation threshold, a weather tile, an irrigation schedule and a seven-day soil moisture chart.

Context

Wide areas, thin margins, changing weather

Agriculture is spread out by nature. Fields, greenhouses, stores and machinery may sit kilometres apart, and a small team is responsible for all of them. Many decisions, from when to irrigate to when a store needs ventilating, depend on conditions that change by the hour and differ from one plot to the next.

Much of that knowledge still comes from walking the land and from experience. Mobile coverage is uneven in rural areas, mains power is rarely where a sensor is needed, and equipment from different decades seldom talks to anything else. A connected system for agriculture has to work within those limits: low power, long range and simple to maintain.

Challenges

What makes it hard

  • 01

    Conditions vary by plot

    Soil moisture, temperature and humidity differ across a farm, but are usually checked by hand at a few points.

  • 02

    Water and energy use

    Irrigation on a fixed timetable can use more water and pumping energy than the crop needs.

  • 03

    Limited coverage and power

    Remote fields often lack reliable mobile signal or mains power, which rules out many standard devices.

  • 04

    Machinery out of sight

    Tractors and service vehicles move between fields and yards, and their location, use and maintenance are hard to follow.

Applications

How LIOMO applies

Smart Agriculture is delivered as a project, designed around the farm, its crops and its connectivity. Farm vehicles and machinery can run on LIOMO Fleet, our own platform.
  • Smart Agriculture

    Field and irrigation monitoring

    A LIOMO project can include soil-moisture, temperature, humidity and weather sensors across fields or greenhouses, and connections to irrigation valves and pumps, so watering follows measured conditions. Networks such as LoRaWAN or NB-IoT are chosen depending on the site.

  • IoT Solutions

    Stores and farm buildings

    Grain stores, cold rooms and livestock buildings can be fitted with temperature, humidity and door sensors, with alerts when conditions drift outside the limits you set.

  • Fleet Management

    Machinery and farm vehicles

    On LIOMO Fleet, tractors, pickups and service vehicles share one live map, with trip history, geofences around fields and yards, vehicle data where the tracker is wired in, and service reminders for each.

  • Energy Management Systems

    Pumping and cooling energy

    Irrigation pumps, ventilation and cold storage are often the largest energy users on a farm. A LIOMO project can meter them individually and show when and where energy is used.

Illustrative scenario

Illustrative scenario: a fruit and arable farm

This is an illustrative example, not a client project. It shows how the four stages could apply to a farm with open fields, an orchard and a cold store.

Illustrative example, not a client project

  1. 01

    Connect: sensors where they matter

    Soil-moisture probes are placed in representative zones of each field and the orchard, a weather station is set up on site, and the cold store gets temperature and door sensors. Battery-powered devices report over a long-range network to a gateway on the farm building.

  2. 02

    Collect: readings in one place

    Readings arrive at regular intervals and are stored centrally, together with irrigation pump run times and the positions of the farm vehicles.

  3. 03

    Understand: conditions by zone

    Dashboards show moisture trends by zone against the thresholds the grower sets, and flag the cold store when its temperature drifts or a door stays open.

  4. 04

    Act: water and respond on evidence

    Irrigation is scheduled zone by zone from measured moisture, staff are alerted to cold-store problems out of hours, and machinery use is reviewed against field records.

Outcomes to aim for

Outcomes to aim for

  • Water where it is needed

    Irrigation guided by measured soil conditions rather than habit or a fixed timetable.

  • Fewer checking trips

    Remote conditions visible from the office or a phone, so field visits are planned rather than routine.

  • Stored produce protected

    Early warning when storage conditions drift, before the produce is affected.

  • Machinery accounted for

    The location, use and service status of every vehicle and machine in one view.

Technology

Talk to us about connected systems for agriculture

Tell us about your vehicles, sites or equipment. For fleets, we show you LIOMO Fleet itself. For other solutions, we walk you through how a system would be designed for your operation and answer the technical questions.

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