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Agricultural IoT · From field to decision

Connect the field.
Understand what is happening.

Soil, weather, water and equipment: connect the signals that matter to understand your operation and assess irrigation decisions.

Observe first. Then interpret. Automate only with defined criteria and controls.

Connected farmConceptual diagram
The root of context

Moisture at different depths helps interpret the root zone. Installation and calibration depend on the soil and crop.

Explore the system's signals. Application illustration, not an actual installation or live readings.
Measurement + context + operational judgment
A farmer and an agronomist examine soil and a sensor beside crop irrigation
AI-generated image · Illustrative scene

People + technology

Technology starts with people who know the ground.

Sensors provide signals. People provide context, experience and judgment for decisions.

AI-generated scenes illustrate capabilities; they do not depict the team, clients or real installations.

Discuss an IoT project

Connected agriculture

Every signal answers
a question.

Open field or protected environment: technology enables observation. Interpretation retains the crop's context and the judgment of its grower.

01 / Irrigation and soil

Is water reaching where it is needed?

Observe
Moisture at relevant depths, flow and pressure.
Purpose
Assess irrigation zones and verify the soil's response. Sensors calibrated and installed for that soil.
02 / Microclimate

What changes around the crop?

Observe
Temperature, air humidity, rainfall and wind according to the weather station.
Purpose
Review extreme conditions and organize fieldwork. Alerts do not replace a forecast or guarantee protection.
03 / Greenhouses

Does the environment match the growing context?

Observe
Temperature, humidity, light and, where relevant, pH and conductivity of water or nutrient solution.
Purpose
Relate deviations to ventilation or fertigation operations. Control only with integration and validation.
04 / Pumping and tanks

Is the operation responding as expected?

Observe
Level, pump status, consumption and available events.
Purpose
Prioritize inspections and log actions. Local safeguards and manual control remain part of the design.

From data to operations

Connection is the beginning.
Understanding is the goal.

The path depends on the site. Not every installation needs the same connection, a gateway or cloud services.

  1. 01 / Field

    Sensors

    Soil, weather, water and equipment. Instrumentation suited to what needs to be observed.

  2. 02 / Site

    Gateway / edge

    Validation and temporary storage. Local rules only when included in scope.

  3. 03 / Link

    Connectivity

    Local network, LoRaWAN or cellular connection according to coverage, power and requirements.

  4. 04 / Context

    Platform

    History, data quality, roles and alerts. Never confuse an old signal with a current reading.

  5. 05 / Response

    Person / equipment

    An informed decision. Remote control only when integrated, authorized and validated.

Reference architecture. Device identity, access, protected communications and maintenance are defined from the design stage.

Infographic · Irrigation cycle

A reading is not
yet a decision.

Criteria depend on the crop, soil and production stage. This cycle explains the process; it does not prescribe universal thresholds.

  1. 01

    Measure

    Capture signals from soil, weather and applied water.

  2. 02

    Validate

    Check calibration, battery, consistency and age.

  3. 03

    Interpret

    Compare with context and agronomic judgment.

  4. 04

    Decide

    Review the zone and the appropriate action.

  5. 05

    Act

    Human intervention or validated automation, with logging.

  6. 06

    Verify

    Check the response and measure again.

Illustrative demonstration · No live readings

It is also important to know
when not to trust the data.

Data available for review

Check calibration and context before using a reading to decide. A valid reading alone does not authorize an action.

Pilot before scaling

Start focused.
Learn from the field.

A project must demonstrate that its data is useful for operations. Equipment, maintenance, responsibilities and acceptance criteria are agreed before installation.

  1. 01

    Context

    Problem, site, coverage, power and the people who will operate the system.

  2. 02

    Instrumentation

    Select and install relevant measurement points, with calibration and defined limits.

  3. 03

    Observation

    Assess continuity, data quality and the usefulness of alerts over an agreed period.

  4. 04

    Assessment

    Review results and decide what to retain, correct or expand. No promised savings percentages.

Before you start

Can it operate where connectivity is limited?

Coverage, power and the required measurement frequency are assessed first. Local storage and different connections can be considered; coverage is not promised without a site assessment.

Can the system open valves or start pumps?

That is a separate scope from monitoring. It requires compatible equipment, permissions, safeguards, manual control, and technical and agronomic validation where applicable. This page's demonstration does not actuate equipment.

What information should I share?

Application, municipality or region, approximate scale and priority problem. For agriculture, include the crop and irrigation system. Do not include passwords, precise coordinates or confidential documents in the first contact.

What about data and maintenance?

Ownership, access, export, retention, sensor maintenance and support must be agreed for the project. The operational environment is designed separately from this commercial website.

Let's talk

What do you need to understand
better about your field?

Share your starting point. Let's define what to measure, which decision to support and how to assess an initial pilot.

Design an agricultural pilot