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Back to Core Services Smart greenhouse and agricultural IoT

Smart greenhouse control systems

Start with crops and field conditions, reviewing climate, light, soil, irrigation, ventilation, shading, and existing controllers to define a testable and maintainable monitoring and automation scope.

Review environmental and control conditions first

Confirm crops, growth stages, greenhouse zones, water and fertigation equipment, ventilation, shading, power, and network conditions before choosing sensor points, control logic, alerts, and manual fallback. Grant eligibility is checked separately against the current authority's published program.

Smart Agriculture Control

Smart Agriculture Control

  • Microclimate Precision Monitoring

    Place temperature, humidity, light, soil EC/pH, or other required sensors by crop and zone, retaining timestamps and device state for alerts and review.

    Measurement scope follows the site review

  • Control rules and alerts

    Use approved thresholds for irrigation, ventilation, shading, or lighting, while retaining manual operation, anomaly notifications, and data gaps.

  • Crop conditions and parameter changes

    Lighting, irrigation, fertigation, and climate settings depend on the crop, growth stage, and cultivation method. Field records verify the result after implementation.

FAQ

Smart Agriculture FAQ

Implementation conditions for greenhouse controls, IoT sensing, and automated irrigation

What size of farm is the smart agriculture system suitable for?

Feasible scope depends on zones, sensor points, control equipment, network conditions, and maintenance. The site review identifies essential monitoring and control first, with staged implementation available where appropriate.

Do I need a technical background to operate the system after installation?

The interface is configured around daily rounds, alerts, and control tasks, with handover covering manual operation, anomaly response, and maintenance. Mobile and desktop functions depend on the agreed project system.

How durable are IoT sensors in agricultural environments (high heat, high humidity)?

Enclosure, power, and communication methods are selected for the actual temperature, humidity, water exposure, dust, sunlight, and chemical environment. The proposal records the chosen device's protection rating, operating range, and maintenance interval.

Can an AI irrigation system really save labor?

Automated irrigation can reduce repetitive scheduled work, while actual labor and water changes depend on crops, seasons, equipment, and the original workflow. Keep a pre-implementation baseline, then compare inspection time, water use, and alert records over the same period.

What protective measures does the smart agriculture system have for typhoons or power outages?

The project defines safe states, manual fallback, and notification behavior for power loss, network loss, sensor faults, and controller faults. Backup power and available actions depend on device capability, risk review, and site testing.

Can this system be customized according to the different crops I grow?

Zones and parameters can reflect crops, growth stages, and cultivation methods, but thresholds and control logic must be confirmed through farm experience, agricultural expertise, and field tests. The system can retain parameter versions and manual changes.

Is it cost-effective for small-scale farms to implement smart technology? Are there government subsidies?

Small fields can start with essential sensing and alerts, while cost still depends on points, controllers, installation, and communication. Any grant application follows the responsible authority's current eligibility rules and approved items.

My farm is in a remote area with poor cell signal; can I still use the smart system?

LoRa, cellular, wired, or hybrid communication can be evaluated. Coverage depends on terrain, buildings, antennas, interference, and the backhaul path, so a field communication test is required before selection.