The Cropin Ecosystem: Pioneering the AI-first digital transformation ecosystem.
End the era of food system chaos by providing a single, intelligent platform that guarantees surety of supply and builds climate and geopolitical resilience for all stakeholders, today
























The mission: Risk-proofing the future of food
This monumental assembly of global leaders is the strategic answer to this volatility. It is a direct result of deep partnership and a confidence that we can mitigate these challenges through a powerful convergence of expertise.
The Cropin Ecosystem unites multiple pillars of expertise
The Cropin Ecosystem framework
Challenges Addressed
Plug & Play Solution
Outcome
Enabling a truly 21st-century food system
The Cropin Ecosystem Value Proposition
Maximize revenue
Maximize Sustainability
Minimize Risks
Minimize Costs
From plot to region: Core use cases enabled by Cropin Ecosystem
Today, thanks to the robust ecosystem we’ve built, our hyper tuned models consistently deliver accuracy levels of 90% or higher.
- Surety of Supply
Accurate Yield Estimation
- Lack of visibility in food production
Crop Stage Progression
Crop Health Indicators
Cropin’s Crop Health model layers proprietary intelligence over raw satellite indices to deliver actionable insights on canopy greenness, nitrogen uptake, and water stress, together providing a comprehensive view of crop health at the plot level.
Our models are hypertuned for specific crops, varieties, and regions to capture local nuances and deliver highly accurate, actionable insights. They also intelligently exclude cloud and haze, ensuring cleaner data and more reliable decisions.
- Pests destroy up to 40 percent of global crops and cost $220 billion of losses every year
Disease Early Warning
- Agriculture accounts for nearly 70% of global freshwater withdrawals
Smart irrigation
The Irrigation Advisory monitors plant water use and future needs through water balance models powered by weather data. It provides precise recommendations on when and how much to irrigate each plot, ensuring optimal water use and maximizing yield potential.
Crop Health Indicators
- Canopy Nutrient Uptake
- Water Stress
- Germination Layer
- Canopy Crop Health
Source
Data Type
Resolution
3m, 10m
Frequency
Sentinel : 5-8 days
Our models are finely tuned for specific crops, varieties, and regions, capturing local nuances for higher accuracy. They also smartly filter out cloud and haze, ensuring cleaner inputs and more reliable insights.
The Cropin Ecosystem-enabled regional intelligence capabilities
Model

Crop Identification & Crop Acreage Estimation

Crop Yield Estimation

Weather-based agronomic impacts by region and crop stage

Weather Anomaly

LULC – Dynamic agricultural land mask

Water Stress

Potential Yield

Crop Suitability

Smart In-Season Sowing Window Insights

Harvest Window Forecast

Accurate Harvest Production Forecasts

Crop Age Detection

Crop Health

Disease Early Warning System
Benefits

Identification of crops grown across a region or cluster, along with accurate detection of total sown area (ha) for each season.

Seasonal yield estimation for crops at a regional scale

Risk categorization based on region- and crop-stage-specific thresholds

Weather and soil anomalies (temp, rain, moisture, SPEI) vs long-term averages

A dynamic indicator that shows active crop or sowing areas, helping clearly distinguish agri land from non-agri land.

Indicates water stress (No, Mild, Medium, High) by comparing crop water needs with available water.

Potential yield shows the best possible harvest using past and forecast weather plus soil and crop data, and it identifies the ideal planting date and crop cycle.

Assessing crop suitability by evaluating elevation, soil, rainfall, temperature, humidity, sunlight, wind speed, and other conditions to categorize regions into suitability levels.

Bi-Weekly Tracking of Sown Area (ha) in the Target Region

Indicates if harvest timing is early, late, or normal vs. the typical window.

Expected weekly harvest production, measured in Metric Tonne (MT), for the season.

Detecting the Age of Standing Multi-Year Crops

Identifying Crop Health Across an LGA Using Greenness and Vegetation Indicators

Identifying the likelihood of disease occurrence based on weather conditions
Delivery Frequency

Seasonal coverage from sowing to any point post-maturity.

Seasonal coverage from sowing to any point post-maturity.

Temperature: Daily
Precipitation: Weekly
Heat Wave: Weekly
Drought: Monthly
DEWS: Monthly

Monthly

Season start to post-germination

Seasonal

Seasonal: start to end of season

Seasonal: start to end of season

Bi-weekly (Start of season to end of sowing)

Seasonal: start of season to post-maturity.

Weekly (post-maturity to harvest close)

Seasonal

Seasonal (from start of season to any point after germination)

Weekly
Monthly
Seasonal
Delivery Capability

Past - Current

Past - Current

Past - Current - Forecast

Past - Current - Forecast (Except soil moisture)

Past - Current

Seasonal

Forecast

Forecast

Past - Current

Past - Current - Forecast

Past - Current - Forecast

Past - Current

Past - Current

Past - Current - Forecast
Stop crop diseases before they destroy yields and your profits
The decade of assembly: A Silicon Valley blueprint










