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Remote Sensing for the Enterprise – How Agricolus leverages ENVI® Enterprise to build an operative, innovative Precision Farming Platform
Today's geospatial data analysis needs are becoming increasingly demanding, in all types of industries. Remotely sensed datasets have grown in quantity, size, spatial resolution, spectral detail and temporal cadence. Today, the ability to efficiently and accurately process and analyze voluminous datasets at the enterprise scale is critical for making informed decisions in a timely manner.

As a result, customers increasingly turn to L3Harris to assist in their transition from desktop to on-premise or scalable cloud environments as a part of their business growth strategy. Responding to this need, L3Harris has developed an array of geospatial software solutions to address all stages of enterprise deployment, from desktop R&D analytics with ENVI® Server, through batch operational automation with ENVI® Enterprise, to full-scale enterprise applications.

Join us in this webinar to learn how the ENVI® Server capability of ENVI® 5.6 accelerates image processing through background and distributed processing, and discover how our customer Agricolus enhances operational, scalable image processing with ENVI® Enterprise as part of their innovative Precision Farming Platform for farmers and agricultural operators.

There will be a Q&A at the end of the webinar to answer your questions. Unable to attend the live webinar? Send us a note and we’ll record the webinar and send out the slides after.

Who should attend?
- Public and private organizations with enterprise scale requirements in remote sensing, such as:
o Local but automated on-demand processing needs
o Enhancing background data processing workflows for big data
o Building remote sensing applications with significant operational impact
o Generating data products through cloud services
- Integrators of enterprise solutions and technologies
- Agronomists, environmental researchers, analysts or consultants in agriculture

Dec 15, 2021 11:00 AM in Vienna

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