Crop & plot-level predictive intelligence powered by field-tested AI/ML models
Mitigate business risks with accurate forecasts on crop yield, stage, health, water stress, get access to pest and disease early warning signals all on your finger tips
On-tap access to predictive intelligence that delivers actionable insights:
- Improve agricultural productivity
- Manage & optimize the use of agri-inputs
- Better forecast yield and manage supply-demand dynamics
- Measure, monitor and manage the carbon footprint
- Enable sustainable agriculture practices
- Manage irrigation schedules based on water stress insights
Plot-level intelligence that we deliver
- Yield Estimation
- Crop Stage Identification
- Crop Health Monitoring
- Disease Early Warning System (DEWS)
- Irrigation Advisory
- Weather Advisory
- 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
- 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 the crop's health
- Insights covering critical parameters:
Canopy Greenness - A vegetation health indicator to define and visualise vegetated areas on a map and detect abnormal changes in the growth process. Derived using Normalised Difference Vegetation Index (NDVI) & intelligence computed using Cropin's AI/ML models.
Canopy Nitrogen Uptake - An indicator of the available nitrogen content in the plant canopy. Derived using the Normalised difference red edge index (NDRE) based on parameters finetuned and tested by Cropin AI Labs.
Canopy Water Stress - An indicator of the total amount of water in vegetation and soil background. Derived using the Land Surface Water Index (LSWI) index based on parameters finetuned and tested by Cropin AI Labs.
- 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
- 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
- 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.
- Prepare yield for unexpected weather conditions
- Optimise usage of water, pesticides & fertilisers based on weather indicators
Yield Estimation
- 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
Crop Stage Identification
- 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
Crop Health Monitoring
- Regular Insights into the crop's health
- Insights covering critical parameters:
Canopy Greenness - A vegetation health indicator to define and visualise vegetated areas on a map and detect abnormal changes in the growth process. Derived using Normalised Difference Vegetation Index (NDVI) & intelligence computed using Cropin's AI/ML models.
Canopy Nitrogen Uptake - An indicator of the available nitrogen content in the plant canopy. Derived using the Normalised difference red edge index (NDRE) based on parameters finetuned and tested by Cropin AI Labs.
Canopy Water Stress - An indicator of the total amount of water in vegetation and soil background. Derived using the Land Surface Water Index (LSWI) index based on parameters finetuned and tested by Cropin AI Labs.
Disease Early Warning System (DEWS)
- 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
Irrigation Advisory
- 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
Weather Advisory
- 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.
- Prepare yield for unexpected weather conditions
- Optimise usage of water, pesticides & fertilisers based on weather indicators
Read more on how enterprises leverage our plot-level intelligence
Building an intelligent farming solution for Rainforest Alliance
Rainforest Alliance is using our AI-powered risk mitigation & crop protection solution to identify cacao plants, predict yields, and get disease alerts. CropIn's technology provides black pod disease identification with an accuracy of 80% and scales up yield prediction accuracy up to 90%.
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Redefining the tea value Chain for one of the oldest tea producers in India
One of the largest tea corporations based out of India producing 10 million kilograms of tea annually partnered with CropIn to digitize their farm operations covering 50+ plantations and 2500+ acres of the area under cultivation.
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Smarter procurement strategies through AI
One of the leading brewing companies in the world partnered with Cropin to streamline their material sourcing of sorghum, maize, paddy, etc, mitigate risks & detect acreage at crop level.
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