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Central Luzon State University PreDiCt

Capabilities

Research areas

Nine areas where PreDiCt builds and tests technology for Philippine agriculture.

01

Drones

Aerial imaging and spraying for crop monitoring and field operations.

See projects
02

GIS

Spatial data and mapping for planning, soil and crop decisions.

See projects
03

Robotics

Machines that sense and act in the field and in the lab.

See projects
04

Artificial intelligence

Models that detect, predict and recommend from farm data.

See projects
05

IoT

Connected sensors that report field conditions in real time.

See projects
06

Smart irrigation

Water delivered by need, measured by sensors.

See projects
07

Controlled-environment agriculture

Greenhouses, hydroponics and indoor vertical farming.

See projects
08

Mechanization

Seeders, applicators and machinery built for local farms.

See projects
09

Precision aquaculture

Monitoring and automation for fish and pond systems.

See projects

How they connect

From field data to field action

  1. 01

    Sense

    IoT sensors, drones and cameras capture soil, crop, water and weather data in the field.

  2. 02

    Connect

    Wireless networks and edge devices move readings off the farm and into one place.

  3. 03

    Analyze

    AI models and GIS turn raw data into maps, alerts and recommendations.

  4. 04

    Act

    Robots, variable-rate machines and smart irrigation apply the right input at the right spot.

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