Browse our AI driven products

Our products can help you optimize pricing, maximize procurement, increase supply chain efficiency, optimize sales and marketing plans, improve channel strategy, increase yield, reduce costs and mitigate impact on climate change.

AI and space technology
driven large scale crop data

Features

  • Crop identification

  • Crop identification

  • Crop identification

  • Crop identification

  • Crop identification

  • Crop identification

  • Crop identification

  • Crop identification

Specifications

  • 80% - 95% accuracy

  • Visualised by country, state, province,
districts or customised zones & territories

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Crop Detection

CropScan uses space technology and AI to automatically identify crop types across vast areas. This enables agribusinesses, mills and governments to gain clear visibility on what is growing where, eliminating guesswork and reducing reliance on field surveys. Our detection is updated regularly to track changes across the season.

Yield Prediction

We forecast yields early and often using a combination of space-based data and weather inputs. CropScan offers two methods: deep learning where historical data exists and biomass modeling where it doesn't. These estimates help clients plan procurement, pricing and supply chain operations with greater accuracy.

Harvest Monitoring

With CropScan you can monitor harvest progress in near real time. Our system detects when harvesting begins, tracks how much area has been cleared and flags unexpected delays. This helps procurement teams plan better logistics, avoid mill downtime and respond quickly to disruptions.

Variety Detection

Different crop varieties perform differently but often look the same from the ground. CropScan uses AI trained on space technology imagery to differentiate between crop varieties based on growth behavior, allowing clients to map high-performing areas and make informed decisions for future sowing.

Sowing Time Analysis

Knowing when fields were planted helps predict harvest windows, understand performance and detect anomalies. CropScan estimates sowing dates using time-series analysis from space technology, giving agribusinesses the ability to monitor planting trends, plan resources and reduce surprises at the end of the season.

iQ Dashboard

FEATURES

High Resolution Sugarcane Identification

Know predicted yields, volume of sugarcane in your area with up to 95% accuracy, & weekly harvest monitoring

Customizable Date Selection

Choose different prediction dates to monitor crop progress over time

FEATURES

Visual Data Insights

Visualize by any geographic boundary, and grower level crop profiles

Color Customization

Adjust color schemes to highlight specific yield zones

FEATURES

High Accuracy Crop Detection

The power of AI and high-resolution satellite imagery combine to identify crops of your choice with accuracy as high as 96%

Field-Level Detail

View yield estimates for each individual field to support targeted interventions

FEATURES

Statistical Data Insights

Country, province, district, sub-district or grower level key insights

Toggle Yield Ranges

Easily switch overlays on or off to clearly see high and low yield areas

FEATURES

Low Resolution Other Crop Identification

Preliminary insights on other crops acreages in area of interest 

FEATURES

Empty Arable Detection

Identify, and visualize empty arable land during sowing seasons  to maximize cane cultivation

FEATURES

Toggle Layers

Seamlessly toggle through different layers to selectively visualize multiple crops data 

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Plant Health

Monitor overall crop health

  • Identify areas of good
and poor plant health

  • Focus efforts on specific areas
rather than a blanket approach

  • Track and improve health of crops
resulting in better quality and yields

  • Remote monitoring of farms

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Plant Stress

Identifies existing and  potential
crop stress

  • Identify which crops are under stress and
which ones are likely to be under stress
in the future

  • Focus efforts on specific areas rather
than a blanket approach

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Productivity Zones

Identify historically productive zones

  • AI-backed using 5-year
historical satellite imagery

  • Identifies productivity zones
by high, medium and low ranges

  • Isolate areas for intervention

  • Select the most productive
fields intelligently

  • Allows farmers to apply
P&K intelligently

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Nitrogen Zones

Identifies precise nitrogen
requirement of crops

  • Identify areas of high, medium
and low Nitrogen requirement

  • Based on AI and satellite imagery
analysis of plant chlorophyl content

  • Enables reduction of environmental
impact of Nitrogen

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Moisture Report 

Insight on surface moisture

  • Compares actual vs. potential evapotranspiration using space data

  • Prevents overwatering

  • Enables precise irrigation, reduces water waste, and protects yield

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Soil Organic Matter

Identify zones of high and low
organic matter

  • In the SOM analysis, black represents
areas where organic matter is good, while
grey and white represents the areas with
medium and low organic matter quality

  • High yield productivity area corresponds
with good SOM

  • Identifying zones of low, medium and high
SOM allows focused areas for soil
improvement efforts

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Customisable, pre-loaded crop development activity calendar, with task assignment, scheduling and audit for field managers:

Features

  • Assign tasks to field staff employees for each
sector, and track the status of each task

  • Integrate eSurvey data for grower wise monitoring
of farming practices from seed-to-harvest

  • Receive real time grower feedback and surveyor
remarks regarding diseases, and pests in specific
areas to flag to other growers

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Customizable, pre-loaded crop development activity calendar, with task assignment, scheduling and audit for field managers:

Features

  • Assign tasks to field staff employees for each
sector, and track the status of each task

  • Integrate eSurvey data for grower-wise monitoring
of farming practices from seed-to-harvest

  • Receive real-time grower feedback and surveyor
remarks regarding diseases, and pests in specific
areas to flag to other growers

Get Started

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Insurance Risk Score

AI and space technology driven risk score and monitoring

Features

  • Experian style risk score for a
parcel of land

  • Biomass and yield prediction

  • ESG flag for protected land

  • Climate monitoring

  • Soil Type and Organic Matter

  • Top-Soil and Root Zone Moisture

  • Crop identification

  • Plant Health, Stress and Nitrogen

Specifications

  • 80-90% accurate on PSR1 data for soybean

  • Near-real time score 80-90%  accurate
on PSR1 data for Soybean

  • Near-real time score

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Our Success Stories

Read all Case Studies

Sugar Mills

Browse customer testimonials to find out how we are creating impact.

Seed, Crop protection and Fertilizer Businesses

Browse customer testimonials to find out how we are creating impact.

Risk scoring and lending

Browse customer testimonials to find out how we are creating impact.

Impact on farm

Browse customer testimonials to find out how we are creating impact.

Find out  how Farmdar can impact your business too.

Read customer testimonials

Optimizing agribusiness efficiency is something you can start today.

With Farmdar’s wide depth of products, there are many ways you can optimize your business efficiency, easily and immediately.  Request a consultation or book a demo, we look forward to hearing from you.