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Technology 05 · Data Outputs & Dashboards

From measurements to decisions.

RiceGuard turns one timestamped field record into views for operators, farmers and researchers. Two main systems are live; the camera-based Phenology view remains experimental.

One record · different views

The same field history answers three different questions.

  1. 01 Operator Is the field station reporting correctly?
  2. 02 Farmer What does this field information mean for the crop?
  3. 03 Researcher How did the plot, crop and station change over the season?

The presentation changes. The timestamped record does not.

02 Live main systems
01 Live experimental view
02 Poles feeding Phenology
Every Reading timestamped and stored
Current operating views

Two live systems. One experimental view.

  1. 01 Live
    Analytics

    Primary user Operator

    Sensor series · device health · pole status

  2. 02 Live · Thai
    Farmer

    Primary user Farmer

    Recommendations · variety · planting · stage · expected harvest

  3. 03 Live · Experimental
    Phenology

    Primary user Technical / research

    Camera-derived crop stage · currently two poles

Analytics · live operational view

The operator sees both the field and the station.

Operators can separate changing field conditions from equipment problems.

  1. 01 Sensor series Timestamped field readings through time.
  2. 02 Device health Equipment condition shown beside field data.
  3. 03 Pole status Whether each pole is reporting as expected.
Interface screenshot placeholder
Operational Analytics interface Replace with the supplied interface capture before launch

One stored record Field value + timestamp + pole identity + operating state

Farmer · live field-facing view

The farmer sees crop information, not raw technical data.

The Thai interface adds crop context and recommendations to field measurements.

Interface screenshot placeholder
Thai Farmer interface Replace with the supplied interface capture before launch
What the Farmer view carries
  1. 01 Variety Which rice variety is planted
  2. 02 Planting When it entered the field
  3. 03 Crop stage Where the crop is now
  4. 04 Expected harvest When harvest is expected
  5. 05 Recommendations Field information translated into understandable next actions
Phenology · live experimental view

Crop stage is estimated from camera images.

The experimental dashboard estimates crop stage from tower-camera images. It currently receives images from two poles.

02 Poles
Live Operating
Experimental Evidence status
Interface screenshot placeholder
Phenology dashboard Replace with the supplied interface capture before launch
Seven-stage crop-cycle reference Context · not an accuracy claim
  1. 01 Land preparation
  2. 02 Transplanting
  3. 03 Tillering
  4. 04 Stem elongation
  5. 05 Flowering
  6. 06 Grain filling
  7. 07 Maturation
What is available today

Live, experimental and planned outputs.

Live outputDesigned system outputFuture / under validation

  1. Sensor series Analytics Live Current operational output
  2. Device health + pole status Analytics Live Current operational output
  3. Variety + planting + stage + harvest Farmer Live · Thai Current field-facing context
  4. Camera-derived crop stage Phenology Live · Experimental Operating from two poles; still being evaluated
  5. Field overview · harvest estimate · pest and flood alerts · human-readable insights Presentation architecture Designed / validation required Defined in the architecture; not yet a validated outcome

Dashboards show operating data. Model accuracy and agricultural outcomes remain under validation.

Researcher · season history

Every reading remains part of the season record.

Timestamped records let researchers compare the plot, crop and station across the season. An unfinished season is not presented as a published result.

The record keeps Plot + crop + station + time
Season record Planting → Harvest
  1. 01 Land preparation Stored
  2. 02 Transplanting Stored
  3. 03 Tillering Stored
  4. 04 Stem elongation Stored
  5. 05 Flowering Stored
  6. 06 Grain filling Stored
  7. 07 Maturation Stored
Continue the journey

See how the full system is tested before field deployment.

The Digital Twin Simulator tests the data pipeline without requiring physical field hardware.

Explore Digital Twin Simulator