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Professional delivery

Satellite crop and wheat intelligence

Agricultural planning depended on manual field observation. Satellite monitoring offered objective, repeatable crop and wheat estimation instead.

Conceptual visualization only

Engagement at a glance

Professional delivery
Discipline: Agriculture
Industry: Agriculture
Technology: GeoAI
Cloud: Google Earth Engine
Region: Pakistan

Crop monitoring and wheat estimation from Sentinel time-series imagery

Role: GIS Expert — GeoAI crop intelligence and predictive workflows (TerraSense Consulting).

Objectives

  • Monitor crop conditions from satellite imagery through the season
  • Estimate wheat production with repeatable spatial methods
  • Turn imagery into predictive analytics for agricultural decisions

Data sources

  • Sentinel time-series imagery
  • Field and crop reference observations
  • Administrative boundaries for aggregation

Architecture and approach

Sentinel time series on Google Earth Engine, crop classification and predictive spatial analytics.

  1. Step 1

    Time series

    Built seasonal Sentinel stacks with cloud and quality filtering.

  2. Step 2

    Classification

    Mapped crop types and condition from spectral-temporal signatures.

  3. Step 3

    Estimation

    Produced wheat estimates with predictive spatial models.

  4. Step 4

    Delivery

    Packaged results for agricultural decision-makers.

Technologies used

  • Google Earth Engine
  • Sentinel-1/2 time series
  • Crop classification and GeoAI analytics

Security and governance

  • Client-sensitive details are summarized.

Output

Described qualitatively. Confidential figures are not published.

Monitoring

Satellite-based

Repeatable each season without manual campaigns.

Estimates

Wheat production

Client-sensitive figures are not published.

Lessons learned

  • Field reference data quality, not model choice, set the ceiling on estimate accuracy.

Evidence

  • Delivery area listed on the founder's public professional profile.

Limitations

  • Estimation figures remain client-confidential.
Professional delivery experience of HIS AI Agency's founder, carried out with the named employer. Client-sensitive details are summarized and no confidential figures are published; it is not presented as a project delivered by HIS AI Agency.
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