The quiet revolution of information and analytics in agriculture
As AGRITECHNICA 2023—the world’s main commerce truthful for agricultural equipment—makes a triumphant return after practically 4 years, over 450,000 attendees from 130 international locations will come collectively to witness the most recent and biggest agriculture improvements firsthand. Nonetheless, not all of those breakthrough improvements take up giant exhibition areas. Some are quietly revolutionizing the {industry} by way of information and analytics, equipping farmers with instruments for smarter, data-driven decision-making.
These data-driven instruments—together with transformative AI that’s reshaping industries—rely on clear, unified information. That’s why we introduced Microsoft Azure Knowledge Supervisor for Agriculture in March 2023, a knowledge platform that leverages industry-specific information connectors and capabilities to attach and unify farm information from disparate sources. With Azure Knowledge Supervisor for Agriculture, organizations can leverage high-quality datasets for digital agriculture options, permitting prospects and companions to deal with product innovation quite than information administration.
Immediately, alongside Bayer on the AGRITECHNICA 2023 convention, we’re thrilled to announce the most recent updates to Azure Knowledge Supervisor for Agriculture which can be ushering in an period of AI in agriculture.
Azure Knowledge Supervisor for Agriculture
Innovate with agriculture information
A rising ecosystem of companions and information with Microsoft Material integrations
To begin, Azure Knowledge Supervisor for Agriculture is evolving to incorporate new integrations with Microsoft Material. This begins with the inclusion of Microsoft Material Knowledge Manufacturing facility, bringing cloud-scale information motion and transformation to agriculture-specific eventualities. Now, third-party information companions can construct connectors to ingest information from extra sources right into a unified database. Leveraging these Material integrations, Microsoft and our companions are increasing Azure Knowledge Supervisor for Agriculture with extra agriculture-specific connectors and capabilities in order that insights are not restricted by particular information varieties and sources.
We’ve additionally constructed connector patterns that others can use as references and expanded the widespread information mannequin to include geospatial information, making extra information integrations seamless and environment friendly. Given the significance of the power to look by way of time and area when commentary information, geospatial floor fact information has been elevated to a first-class part.
We’re additionally excited to develop help for Bayer’s Local weather FieldView as a built-in information supply. As soon as initiated by a farmer, Azure Knowledge Supervisor for Agriculture supplies an easy path to retrieving each historic and up-to-date exercise recordsdata, from which additional aggregated insights might be derived. Customers can leverage auto-sync planting, software, and harvest exercise recordsdata from Local weather FieldView accounts immediately into Azure Knowledge Supervisor for Agriculture.
Microsoft and Bayer: Leveraging generative AI to allow interplay with information by way of language
Nevertheless it doesn’t cease at information. We imagine entry to insights and information needs to be extra interactive, intuitive, and completely human-centric. Think about, as a farmer, having the ability to merely ask the query: “Which fields had rain final night time?” or “What number of acres have been harvested?” and receiving a exact and correct reply, instantly.
With new giant language mannequin APIs in Azure Knowledge Supervisor for Agriculture, generative AI in agriculture is now a actuality. The big language mannequin APIs allow the seamless retrieval of information mapped to farm operations, sensors, climate, and imagery in order that farming-related context and insights might be queried in a conversational context. These capabilities allow others to construct their very own agriculture copilots that ship insights to prospects and farmers about illness, yield, labor wants, harvest home windows, and extra—leveraging precise planning and observational information.
Bayer is the primary associate bringing these giant language mannequin capabilities to life with a copilot for agriculture. In its early levels, Bayer is presenting an agriculture copilot and testing a number of eventualities with inside groups to find the place giant language mannequin capabilities can add worth by way of the power to work together with agronomic information utilizing pure language.
The Bayer copilot for agriculture is a querying system that helps finish customers like sellers and farmers get actionable insights from their farm and atmosphere information. Customers ask the AI-powered chatbot about totally different eventualities and the copilot supplies correct responses nearly immediately.
Constructing on a basis of innovation
Azure Knowledge Supervisor for Agriculture has already enabled unbelievable evolutions in Agriculture with companions like Accenture, Bayer, and Land O’Lakes.
By integrating disparate information sources and streamlining them right into a unified interface, Accenture’s Farm of the Future empowers farmers to trace and handle their sustainability initiatives extra successfully. Constructed on Microsoft Azure Knowledge Supervisor for Agriculture, the answer supplies complete oversight of a farm’s sustainability practices. Superior analytics ship actionable insights that assist farmers optimize useful resource allocation, reduce environmental influence, and maximize total agricultural productiveness and profitability.
Bayer’s Local weather FieldView platform makes use of Azure Knowledge Supervisor for Agriculture’s satellite tv for pc and climate pipelines and customary information mannequin to allow insights on potential yield-limiting elements in growers’ fields. Because of Microsoft Azure Knowledge Supervisor for Agriculture, Bayer can stay centered on constructing clever options for growers, quite than investing time and sources in information administration.
Land O’Lakes is utilizing Azure Knowledge Supervisor for Agriculture to cut back time spent on information integrations, thereby chopping down engineering efforts and prices.
“Our job is to convey all the data collectively to make sense of it. Azure Knowledge Supervisor for Agriculture helps us do this.”
Tom Ryan, President at Truterra, the sustainability division of Land O’Lakes
Land O’Lakes information scientists at the moment are in a position to derive higher insights by way of complete analytics and clever modeling—finally supporting extra environment friendly, sustainable farming.
Study extra about our agriculture options
For those who’re involved in studying extra about our dedication to innovation in agriculture, come go to us at Bayer’s sales space (Corridor 8, Sales space C15) at AGRITECHNICA 2023 in Hanover, Germany the week of November 12 to 18, 2023. We’ll be presenting a number of periods, together with:
- November 12, 2023—Current developments in giant language modelling utilized to agriculture
Find out how AI expertise might be utilized to agriculture by way of an improved and environment friendly enhancement to analytics processing—providing elevated insights on the velocity of a query. This session will focus on what’s obtainable in the present day and what the near-term future holds. - November 13, 2023—Developments in expertise concentrating on the Agriculture and meals worth chain
Hear varied organizational views about current developments in agriculture that help information interoperability, improved transparency throughout agricultural worth chains, accelerated farm and meals innovation, and the partnerships driving this modification.
For added data, go to the Microsoft Azure Knowledge Supervisor for Agriculture web site. The longer term is vibrant, as generative AI and different analytics options allow insights round optimizing useful resource allocation, minimizing environmental influence, maximizing agricultural productiveness, and way more.
