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Examples & showcases

Code examples and showcase on how to best leverage <geosys/> platform capabilities.
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Examples
  4. Support development
  5. License
  6. Contact
  7. Copyrights

About The Project

EarthDaily Agro is the agricultural analysis division of EartDaily Analytics. Learn more about Earth Daily at EarthDaily Analytics | Satellite imagery & data for agriculture, insurance, surveillance. EarthDaily Agro uses satellite imaging to provide advanced analytics to mitigate risk and increase efficiencies – leading to more sustainable outcomes for the organizations and people who feed the planet.

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Throught our <geosys/> platform, we make geospatial analytics easily accessible for you to be browsed or analyzed, within our cloud or within your own environment. We provide developers and data scientists both flexibility and extensibility with analytic ready data and digital agriculture ready development blocks. We empower your team to enrich your systems with information at the field, regional or continent level via our API or Apps.

We have a team of experts around the world that understand local crops and ag industry, as well as advanced analytics to support your business.

The current project aims to provide samples, snippets and examples on how to integrate data and analytics but expand and enrich capabilites by creating your own analytic based satellite imagery, weather and many others available inputs.

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Getting Started

Prerequisites

Use of this project requires valids credentials from the <geosys/> platform . If you need to get trial access, please register here.

Installation

To access and try availble examples, you can either fork the current repo and use your prefered code editor or use try Python notebook on MyBinder usin the follwing link.

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Configuration

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Examples

Integration

This set of examples will focus on how to integrate data, metrics and analytics from the <geosys/> platform into your own solutions.

Here are the available examples:

  • Integrate field level map (NDVI...) into most common online GIS library like Openlayers, Leaflet, or other JS libraries. See code example
  • Get inputs to feed your Python models using GeosysPy. See notebook

Create new analytic based on metric

This set of examples will focus on how to create new analytics combining <geosys/> data feed, your data and business logic to create easy to use and value added analytics.

Here are the available examples:

  • Create field level warning based on weather information. See notebook
  • Get field level maps from our virtual constellation. See notebook
  • Publish new analytic into Geosys Store in order to disseminate and publish them to the targeted final users. See notebook

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Resources

The following links will provide access to more information:

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Support development

If this project has been useful, that it helped you or your business to save precious time, don't hesitate to give it a star.

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License

Distributed under the GPL 3.0 License.

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Contact

For any additonal information, please email us

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Copyrights

© 2022 Geosys Holdings ULC, an Antarctica Capital portfolio company | All Rights Reserved.

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  • Jupyter Notebook 85.2%
  • JavaScript 9.9%
  • HTML 4.9%