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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.
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).
EOSDA Crop Monitoring is an online satellite-based precision agriculture platform for field monitoring created by EOS Data Analytics, a global provider of AI-powered satellite imagery analytics. The platform is a one-stop solution that integrates multiple types of data (crop health, weather conditions, crop rotation, field activities, elevation, soil moisture, and a host of other data) all in one place.
Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
*Global climate risk data & analytics provider delivered via self-serve platform or API.
*Asset and company level intelligence tailored to the needs of financial institutions.
*All key physical risks covered - Flooding, Hurricanes, Wildfires, Subsidence, Coastal Erosion, Drought +more.
*Financial losses (cVAR) - $/% physical damages from climate hazards & business disruption.
*All RCP/SSP emission pathways covered for complete scenario analysis.
*Models built in-house, backed by academia and achieving up to 95% accuracy.
*Already trusted by major real estate, banks, consulting groups + industry
ArcGIS Enterprise is the foundational software system for GIS, powering mapping and visualization, analytics, and data management. It is the backbone for running the Esri suite of applications and your own custom applications. ArcGIS Enterprise is tightly integrated with ArcGIS Pro for mapping and authoring, and seamlessly connects with ArcGIS Online to share content between systems.
Samsara Telematics provides a holistic approach to fleet management. We combine real-time GPS data, vehicle diagnostics, and AI to help customers drive productivity, optimize operations, and mange compliance metrics.
This Guidance shows how to predict the weather over the Continental United States (CONUS) by deploying the Weather Research and Forecasting (WRF) model on AWS.
This Guidance helps agricultural companies obtain advanced analytics from connected assets and streamlines management of connected assets with custom relationships.
This Guidance demonstrates how to use Decision Support System for Agrotechnology Transfer (DSSAT) crop growth simulation technology to more efficiently run crop simulation models.
This Guidance provides a technical foundation to visualize and monitor key performance indicators (KPIs) for reporting on climate-related physical risks to your operations.
This Guidance shows how to store and use vector data, which is a type of data made up of objects that represent a physical location such as a farm field, location in a field, or entire agricultural region.
This Guidance helps customers import, process, and display geospatial imagery with Amazon SageMaker geospatial capability. By demonstrating how to use a geospatial capability in the agricultural use case, this is a starting point for customers looking to build an agronomic data platform.