Cropt

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Cropt is an AI solution for agriculture that provides strategic insights for optimizing land use and farming practices. It analyzes crop maps using AI-driven satellite image processing to help farmers increase profits and reduce environmental impact.

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At a glance

Pricing

Freemium · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Cropt?

Cropt is an AI-powered platform designed to provide comprehensive insights for agricultural production, catering to growers, crop consultants, and large enterprises. The tool leverages AI algorithms trained on extensive field data, satellite imagery, and climate information to offer features like yield prediction, crop classification, and growth mapping. Users can access data via the Space Garden platform or through an API for integration into existing systems. Cropt's predictive models offer initial yield forecasts at the start of the season, with updates every two weeks, and can identify winter crops from March and spring crops from mid-July. The platform also provides seed distribution maps based on yield, stability, and performance criteria, helping farmers make informed decisions for optimal crop selection and management.

Best used for

Ideal for family farmers and agri-businesses who need to optimize land use, improve farming practices, and make data-driven decisions. Especially valuable for predicting crop yields, classifying crop types, and monitoring field health using AI-driven satellite imagery and climate data.

Common actions

optimize crop production

predict crop yield

classify crop types

monitor field health

Capabilities

Key features

Yield prediction
Crop classification
Growth mapping
Satellite image processing
API integration
Seed distribution maps
Field books

Target Audience

small business owner

Integrations

Not yet documented

Pricing & Plans

Freemium · Enterprise

For family farmers Up to 20 ha Data for farmer's fields Field books Support docs & email support

FAQs

What data sources does Cropt use for its AI models?

Cropt utilizes SoilGrids for soil data, the EU Copernicus Climate Change Service (C3S) for climate data, European Space Agency for satellite data, and internal databases for agricultural production data. These diverse sources feed into its AI algorithms for comprehensive analysis.

How accurate are Cropt's yield predictions and crop classifications?

Yield predictions have an error margin below 10%, though hyperlocal effects can cause larger deviations. Crop classification accuracy is around 94%, but this can vary by year, region, and crop. Soil data, from third-party sources, is estimated at 70-80% accuracy.

Can Cropt's platform be integrated with existing information systems?

Yes, all data generated by Cropt's AI models is available via the Space Garden platform and through an API. This allows for seamless integration into your own platform or existing information system, providing flexibility for data utilization.

When are yield predictions and crop identifications available?

Initial yield predictions are available at the start of the season and are updated bi-weekly. Winter crops can be identified in March, while spring crops (corn, soybeans, sunflower, sugar beet) are detectable from mid-July to the end of August.

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Data & Analytics › Data Visualization Data & Analytics › Predictive Analytics

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