For agricultural companies, generating actionable insights from complex agronomic and production data can be a challenge. By using Data Analytics solutions on AWS, these companies can access tools to build powerful data systems, take advantage of artificial intelligence and machine learning, and generate powerful analytics. These capabilities help agricultural companies transform production data into a strategic asset for customers, like agricultural producers.

AWS Services

Purpose-built cloud products

AWS Solutions

Ready-to-deploy solutions assembling AWS Services, code, and configurations

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  • QnABot on AWS

    Deploy a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback, powered by large language models (LLMs).
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Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Satellite-based vegetation management

    LiveEO satellite-based vegetation management solution helps increase grid safety, uptime and transparency on work processes, while reducing operational costs.
  • Earthdaily Reflectance Datacube

    The reflectance Datacube Processor will ease deployment of analysis ready pixel pipeline supporting modeling effort either at early stage with model design and training but also model serving with fresh and up to date pixels.
  • CARTO Spatial Extension for Redshift

    CARTO’s Spatial Extension brings advanced geospatial capabilities to Amazon Redshift. Analysts, Data Scientists, and Developers can solve spatial problems by understanding where and why things happen, optimizing processes, and predicting future outcomes. Organizations working with spatial data in Redshift can create stunning map visualizations, ingest thousands of 3rd party location datastreams, develop spatial applications, and run advanced spatial analysis natively in Amazon Redshift, using simple SQL. Our cloud-native approach benefits from Redshift’s speed, security, and scalability, simplifying analytical workflows for faster, more insightful location-based decision making.
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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