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Cropin Cloud capability

Yield, crop stage and disease forecasts for every plot.

Cropin’s plot models estimate yield per hectare, crop stage, health, harvest date and water stress, tuned by region, crop and variety.

How it works

What each plot report includes.

Expected yield range, crop stage, health, harvest date, weather, and pest or disease warnings.

01Bring together trusted data and contextDATA FOUNDRY
02Interpret change with domain modelsDOMAIN INTELLIGENCE
03Investigate and recommend next actionsORBITAI
04Advance work through governed workflowsAPPS & WORKFLOWS

Yield, inputs, demand and carbon, plot by plot

  • Improve crop yields through optimized farming practices and input usage.
  • Efficiently manage agri-inputs like water, fertilizers, and pesticides based on data-driven insights.
  • Use predictive analytics to forecast yields and align with market demand.
  • Monitor carbon footprint and support environmentally friendly practices, including precision irrigation and soil health management.

Insight for every plot, whatever the scale of operation

Cropin Intelligence provides granular and actionable insights at a plot level to help improve farm operations & profitability.

It provides plot-level intelligence irrespective of the scale of operations covering yield estimation, crop stage, crop health, harvest date prediction and weather insights. It enables you to make data-driven decisions remotely based on near real-time insights.

Cropin plot view with a crop greenness map, yield forecast and crop stage progression

Six models that run on every plot

AI-powered precision crop yield prediction by region, crop, and variety

  • A hyper-tuned model built for different regions, crops, and varieties
  • Accurate estimation of a plot's yield per hectare and the plot's expected production range
  • Insights based on weather data & remote sensing models during the various crop stages
  • Timely intelligence as soon as the crop reaches its maturity stage and at least 30 days before the predicted harvest

AI-based crop stage classification, deviation analysis & pest tracking

  • Accurate estimation of the crop stage and progression based on stage classification for a plot
  • Insights to identify the cause of harvest deviation
  • Track plant development and pests’ infestation using prediction models

Regular insights into crop health across critical parameters

  • Easy information access
  • Capture data configured by agronomist
  • Communicate crop instructions & good farming practices
  • Crop health & weather insights for farm monitoring

Plan pest control efficiently with predictive disease intelligence

  • Accurate prediction of the probability of diseases based on weather forecasts and the history of crop diseases
  • Early detection and timely monitoring, preventing low yield due to crop losses
  • Plan pest control product purchases & curb crop infections efficiently
  • Access intelligence for over 65 diseases and more than 20 major crop variants

Efficient farm planning with timely advisories and yield comparisons

  • Timely advisories on crop calendars, weather forecasts, timing & quantity of pesticide usage, fertilisers, and water management
  • Reduce water wastage and avoid over-irrigation
  • Yield comparison reports based on historical data
  • App/ SMS notifications for crop and weather advisory

Plot-level weather intelligence for smarter water and input management

  • Timely weather and climate updates for a plot based on historical and forecasted data of 7-days into the future.
  • Weather profile including – temperature, humidity, wind speed & precipitation.
  • Optimise usage of water, pesticides & fertilisers based on weather indicators

What teams achieve with plot-level insight

  • Increase profitability
  • Receive actionable insights
  • Improve yield quality & quantity
  • Monitoring of carbon credits
  • Reduced cost of operations

TRUSTED ACROSS GLOBAL FOOD & AGRICULTURE

CUSTOMER IMPACT
Walmart PepsiCo McCain Mondelēz International Heineken Syngenta BASF ADM East-West Seed Loacker

Case studies: plot-level insight in practice

Case study

Rainforest alliance | AI-powered risk mitigation & crop protection

Rainforest Alliance is using our AI-powered risk mitigation & crop protection solution to identify cacao plants, predict yields, and...

Read the story Case study

Streamlining procurement for seamless production

One of the leading brewing companies in the world partnered with Cropin to streamline their material sourcing of sorghum,...

Read the story Case study

Streamlining operations for tea plantations in Tamil Nadu

One of the largest tea corporations based out of India producing 10 million kilograms of tea annually partnered with...

Read the story

View all case studies

Frequently asked questions

What is Cropin’s plot-level intelligence?

Cropin’s Plot-Level Intelligence delivers AI/ML-powered insights on yield, crop health, disease risks, and irrigation, enabling farmers, agribusinesses, and governments to make timely, data-driven decisions across diverse geographies and crop varieties.

How does yield estimation work at the plot level?

Yield estimation uses region- and crop-specific models, combined with weather and remote sensing data, to predict production per hectare, providing intelligence at least 30 days before harvest.

What crop health parameters can be monitored?
  • Canopy Greenness (vegetation health)

  • Canopy Nitrogen Uptake (nutrient availability)

  • Canopy Water Stress (irrigation needs)

These AI-driven indicators help detect abnormal growth, improve nutrient usage, and manage irrigation efficiently.

How does the Disease Early Warning System (DEWS) help?

DEWS predicts over 65 diseases across 20+ major crops using weather and historical data. Early alerts enable timely monitoring, pest control planning, and reduced yield losses.

Can it help optimize irrigation schedules?

Yes. Irrigation advisory combines crop calendars, weather forecasts, and water stress insights to suggest precise irrigation timing and quantity, minimizing water wastage and reducing over-irrigation risks.

Who benefits most from plot-level intelligence?

Agri-input companies, commodity traders, food processors, governments, and farmers benefit by reducing operational costs, improving yields, monitoring carbon credits, and achieving profitability with AI-driven insights

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