Gain insights from ADMA with Copilot in Agriculture


Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned

Enabled for Public preview General availability
Users by admins, makers, or analysts Jun 2024 Sep 2024

Business value

By harnessing the power of Microsoft Fabric copilots, we’re enabling an LLM capability for agriculture that offers valuable insights to customers that are based on satellite, weather, sensor, farm equipment and hierarchical data in customers instance of Azure Data Manager for Agriculture (ADMA). This presents an effortless way for customers and partners to query and get insights from agronomic data in natural language.

Feature details

The integration of artificial intelligence (AI) and machine learning (ML) in various industries has brought transformative changes, enabling increased efficiency and productivity. One such domain that can benefit from AI is agriculture. By harnessing the power of Microsoft Fabric copilots, we can create an LLM plugin for agriculture, offering farming context, valuable insights, and recommendations to customers in natural language. Using data ingested and organized in ADMA we will provide agronomy context for an area of interest for our customers. Our B2B customers can take the context from ADMA, add their own knowledge base, and get summaries, insights, and answers to their data questions through ADMA LLM plugin using copilots in Microsoft Fabric.