Cropin EcoSystem
Integrated AI & Digital Ag-Food Ecosystem ‘Harvest-Pilot’
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
We operate in an era where climate change, geopolitical risks, and unprecedented supply chain disruptions are the new normal. While today’s threats are clear, tomorrow’s are unknown. Our objective is singular and non-negotiable: our customers should never face large-scale business disruptions.
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 ecosystem unites multiple pillars of expertise
The Harvest-Pilot framework
Challenges Addressed
Plug & Play Solution
Out Come
Enabling a truly 21st century food system
inconsistent, manual, and non-standardised field data prevents visibility, forecasting, and decision-making at scale.
extreme weather, shifting seasons, and rising pests/diseases are making yield planning unreliable.
conflicts, export bans, and supply chain fragmentation are destabilizing sourcing continuity and cost structures.
grower-driven supply chains lack modern practices, leading to inconsistent yields and quality variability.
tightening global regulations demand end-to-end visibility that most supply chains cannot currently provide.
unpredictable fertilizer, water, and labour availability add pressure on margins and long-term planning.
Helping customers unlock value with digitization and AI
Maximize revenue
Maximize Sustainability
Minimize Risks
Minimize Costs
From Plot to Region: Core Use Cases Enabled by Harvest-Pilot
Today, thanks to the robust ecosystem we’ve built, our hypertuned models consistently deliver accuracy levels of 90% or higher.
- Supply Chain Disruptions
- Lack of visibility in food production
- Pests destroy up to 40 percent of global crops and cost $220 billion of losses every year
- Agriculture accounts for nearly 70% of global freshwater withdrawals
Accurate Yield Estimation
Cropin’s hybrid yield estimation model blends remote sensing and weather intelligence to deliver accurate, plot-level yield forecasts well before harvest, enabling agri-food businesses to plan procurement, pricing, and supply with confidence.
Crop Stage Progression
Cropin’s Crop Stage and Progression model identifies the current growth stage of a crop, estimates its progression through the lifecycle, and predicts the optimal harvest window, while also assessing the crop’s growth rate at the plot level.
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.
Disease Early Warning
The Disease Early Warning System (EWS) predicts the likelihood of disease occurrence at the plot level within a 7-day window, using past and forecasted weather parameters to enable proactive interventions.
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
Satellite ecosystem
Data Type
Cropin - Derived Model
Resolution
3m, 10m
Frequency
Planet : Upto 1-2 days.
Sentinal : 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 Ecosystem enabled regional intelligence capabilities
- Model
- Benefits
- Delivery Frequency
- Delivery Capability
- Crop Identification & Crop Acreage Estimation
- Identification of crops grown across a region or cluster, along with accurate detection of total sown area (ha) for each season.
- Seasonal coverage from sowing to any point post-maturity.
- Past - Current
- Crop Yield Estimation
- Seasonal yield estimation for crops at a regional scale
- Seasonal coverage from sowing to any point post-maturity.
- Past - Current
- Weather-based agronomic impacts by region and crop stage
- Risk categorization based on region- and crop-stage-specific thresholds
-
Temperature: Daily
Precipitation: Weekly
Heat Wave: Weekly
Drought: Monthly
DEWS: Monthly - Past - Current - Forecast
- Weather Anomaly
- Weather and soil anomalies (temp, rain, moisture, SPEI) vs long-term averages
- Monthly
- Past - Current - Forecast (Except soil moisture)
- LULC – Dynamic agricultural land mask
- A dynamic indicator that shows active crop or sowing areas, helping clearly distinguish agri land from non-agri land.
- Season start to post-germination
- Past - Current
- Water Stress
- Indicates water stress (No, Mild, Medium, High) by comparing crop water needs with available water.
- Seasonal
- Seasonal
- Potential Yield
- 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.
- Seasonal: start to end of season
- Forecast
- Crop Suitability
- Assessing crop suitability by evaluating elevation, soil, rainfall, temperature, humidity, sunlight, wind speed, and other conditions to categorize regions into suitability levels.
- Seasonal: start to end of season
- Forecast
- Smart In-Season Sowing Window Insights
- Bi-Weekly Tracking of Sown Area (ha) in the Target Region
- Bi-weekly (Start of season to end of sowing)
- Past - Current
- Harvest Window Forecast
- Indicates if harvest timing is early, late, or normal vs. the typical window.
- Seasonal: start of season to post-maturity.
- Past - Current - Forecast
- Accurate Harvest Production Forecasts
- Expected weekly harvest production, measured in Metric Tonne (MT), for the season.
- Weekly (post-maturity to harvest close)
- Past - Current - Forecast
- Crop Age Detection
- Detecting the Age of Standing Multi-Year Crops
- Seasonal
- Past - Current
- Crop Health
- Identifying Crop Health Across an LGA Using Greenness and Vegetation Indicators
- Seasonal (from start of season to any point after germination)
- Past - Current
- Disease Early Warning System
- Identifying the likelihood of disease occurrence based on weather conditions
-
Weekly
Monthly
Seasonal - Past - Current - Forecast
Stop crop diseases before they destroy yields and your profits
The Decade of Assembly: A Silicon Valley Blueprint
The launch of this integrated initiative is not an overnight event; it is the culmination of a decade-long vision. For nearly a decade and a half, building this structure has been the dream project of Cropin founder, Krishna Kumar. We analyzed the market year after year, deferring the launch until every necessary link was perfectly joined. In 2025, the final links are in place.
Our guiding principle for building this corporate ecosystem was the analogy of Silicon Valley. Just as the Valley was built on the convergence of educational institutions, rich tech talent, and a powerful investor ecosystem, the Cropin AI Ecosystem Alliance is our blueprint to bridge the critical gap between agriculture and the digital world, creating an environment where our customers are guaranteed success.
