Crop Classification

The intent of this module is to provide Crop acreage estimation based on satellite data and a comparative view of cropping pattern and crop acreage

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AI & Remote Sensing To Analyse Crops Sown

We use remote sensing (high resolution in combination with regular free imagery) data for Crop type monitoring and Crop acreage estimation. We have developed hundreds of crop signatures to identify standing crop in field using remote sensing data. Just to name few of the major crops are paddy, sugarcane, wheat, maize, lentils, groundnut, soyabean, horesegram, barley etc.

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APAIMS

Raising decision support advisories to stakeholders during the entire lifecycle of crop – from sowing to harvest

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HAIMS

Driving precision towards a sustainable agriculture

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Why You Should have this

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Cropping Pattern Analysis

Identify cropping pattern at large scale without manual efforts

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Post Harvesting Support

This enable to facilitate support for inputs as well as market yard operations

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ACZ Deviation

Identify deviation of cropping from agro crop zone planning

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Fallow Analysis

Identify fallow land patterns to plan cultivating fallows

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Yield Estimations

This helps estimating yield as per crop type and location

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Crop Planning

Optimize cropping to avoid surplus and deficit in production quantities

More Than Crop Classification

Our agriWISE platform includes

If our work sounds interesting to you and you wish too learn more, feel free to ask us for a free demo. Click on the link below and schedule your time.

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