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Engineering & hands-on training 路 Kano, Nigeria

We build practical technology.We teach people to use it.

We build custom AI, IoT, electronics, robotics and software systems, and teach these skills hands-on in Kano.

Our services

Technology services for real-world systems

Explore the specialist services SYLUTION brings together鈥攆rom intelligent software and connected devices to practical engineering for agriculture, industry and energy.

Illustrative Sysmart Agro controller concept beside an irrigated cropIn development

Flagship AgriTech project

Sysmart Agro

A field-to-dashboard system under development in Kano.

Built around real farm conditions

How the Sysmart Agro platform is being built

Sysmart Agro connects field sensors, a controller and irrigation hardware with a monitoring dashboard. The project is in development and field testing. A public mobile app and offline access are roadmap items鈥攏ot live services.

Field sensingSoil and substrate moisture, temperature, humidity, water level and fertigation-water pH/EC are in the design scope; readings and sensor calibration remain under field testing.
Controller and irrigationThe controller is being tested with pumps and valves; thresholds and local manual override remain under validation.
ConnectivityGSM and Wi-Fi are part of development; LoRa is still under evaluation.
Dashboard scopeDashboard work covers readings, thresholds and pump status. Alerts and historical records are planned capabilities; a public mobile app and offline access remain on the roadmap.
Field controllerA dedicated hardware concept brings farm sensing and irrigation-control electronics together; validation continues in the field.
Mobile app 路 roadmapMobile access, offline readings and multi-zone scheduling are planned, not available to download yet.

Illustrative product visualization; the display reading is not live system data.

A PRACTICAL APPROACH

From a real need to a useful system.

We start with the job and site conditions, define the scope, then build and test a system the team can use.

  1. 01

    Understand the need

    Clarify the task, field conditions and constraints before choosing technology.

  2. 02

    Design the system

    Select the sensors, electronics, software and power the job needs.

  3. 03

    Build and test

    Integrate the parts and test key functions for their intended use.

  4. 04

    Prepare the people

    Explain operation and care, with hands-on training when needed.

SYLUTION practical technology training session

SYLUTION Academy

Learn practical AI, IoT and smart-agriculture skills

Hands-on training for youth, women, farmers, students and technicians鈥攃overing AI tools, IoT sensors, ESP32/Arduino, electronics, drones, robotics and modern agriculture. Sessions are taught in English or Hausa in Kano; ask us to confirm dates and availability.

See training programmes

Case studies

Evidence-led engineering snapshots

A clear view of what we are building, the technical problem it addresses and the current stage of validation.

View all projects
Sysmart Agro: from field readings to irrigation decisionsIn development

Smart Agriculture 路 Flagship project

Sysmart Agro: from field readings to irrigation decisions

Sysmart Agro is being built to connect sensor readings, an IoT field-controller prototype and irrigation hardware with dashboard work. Development and field testing are ongoing; its public mobile app is not released.

Technical evidence

Field sensing, controller hardware, wireless links and dashboard workflows are being integrated and validated in stages.

Continue supervised field testing and refine the monitoring and control workflow.
Sysmart Agro field controller: sensing and irrigation hardwareTesting / field validation

Hardware 路 Sysmart Agro

Sysmart Agro field controller: sensing and irrigation hardware

A multi-view enclosure concept for the Sysmart Agro control unit, designed to house farm-sensing, fertigation-monitoring and irrigation-control electronics. Not available to purchase.

Technical evidence

The design sheet illustrates enclosure views and reference dimensions; sensor integration, connectivity and pump/valve operation remain under field validation.

Continue enclosure, sensor, connectivity and supervised pump/valve tests before defining production specifications.
Computer vision crop inspection: research for low-cost field intelligenceResearch

AI Research 路 Edge computing

Computer vision crop inspection: research for low-cost field intelligence

An image-based research effort exploring crop-stress detection on edge hardware without depending on continuous internet access.

Technical evidence

The work connects crop imagery, locally collected data and model experiments with a practical low-cost deployment target.

Continue research, dataset preparation and evaluation before any wider deployment claim is made.

Status labels describe the current engineering stage. They are not claims of commercial availability or completed client deployment.

Work with SYLUTION

Build practical technology with us.

Explore engineering partnerships or review SYLUTION鈥檚 current stage and investor information.

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Tell us what you need, we reply within two working days

Share a few details about your site, process or product idea. We will confirm scope and availability. This form is an enquiry鈥攏ot a product order, course booking or loan application.

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