Ag-Analytics to Release Several Machine Learning Driven Environmental APIs on Azure, Supported by Microsoft’s AI for Earth Program

Ag-Analytics, Azure, Microsoft's AI

Ag-Analytics®, through a new strategic partnership with Microsoft’s AI for Earth program, announced the launch of several new APIs and data feeds for public use, including mirroring over 100 TB of Harmonized Landsat Sentinel-2 (HLS) data on Azure. By enabling optimized, efficient, flexible cloud data access for machine learning and AI applications, academics and developers alike will now be able to easily access production-ready HLS and other data for use in development, research, and modeling.

The API Service will be made available for free to academics and trial use, and as a paid service for corporate or intensive use. These feeds are also mirrored in the Ag-Analytics® free mapping application for farmers to access.

Source HLS data will be made freely available for Azure users on Azure Blob Storage, as part of the Azure Open Datasets program. Ag-Analytics® will also offer an optimized HLS API service allowing users to pass an area-of-interest (AOI) – coordinates of the desired area one wants to retrieve data for – and receive a full history of imagery and statistics for that AOI.

The HLS Service is just the first in a suite of services that Ag-Analytics® and Microsoft’s AI for Earth program are partnering to provide. Other concurrent and future offerings will include machine-learning and AI-based yield prediction, crop identification forecasts, tillage identification, planting/harvest date forecasts, and more.