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The quiet revolution of information and analytics in agriculture
As AGRITECHNICA 2023—the world’s main commerce honest 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 newest and best agriculture improvements firsthand. Nevertheless, not all of those breakthrough improvements take up giant exhibition areas. Some are quietly revolutionizing the industry by means of knowledge 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 upon clear, unified knowledge. That’s why we introduced Microsoft Azure Knowledge Supervisor for Agriculture in March 2023, a knowledge platform that leverages industry-specific knowledge connectors and capabilities to attach and unify farm knowledge from disparate sources. With Azure Knowledge Supervisor for Agriculture, organizations can leverage high-quality datasets for digital agriculture options, permitting clients and companions to concentrate on product innovation slightly than knowledge administration.
In the present day, alongside Bayer on the AGRITECHNICA 2023 convention, we’re thrilled to announce the newest updates to Azure Knowledge Supervisor for Agriculture which are ushering in an period of AI in agriculture.
Azure Knowledge Supervisor for Agriculture
Innovate with agriculture knowledge
A rising ecosystem of companions and knowledge 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 knowledge motion and transformation to agriculture-specific eventualities. Now, third-party knowledge companions can construct connectors to ingest knowledge 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 now not restricted by particular knowledge sorts and sources.
We’ve additionally constructed connector patterns that others can use as references and expanded the frequent knowledge mannequin to include geospatial knowledge, making extra knowledge integrations seamless and environment friendly. Given the significance of the power to go looking by means of time and house when commentary knowledge, geospatial floor fact knowledge has been elevated to a first-class part.
We’re additionally excited to increase help for Bayer’s Local weather FieldView as a built-in knowledge supply. As soon as initiated by a farmer, Azure Knowledge Supervisor for Agriculture supplies a simple path to retrieving each historic and up-to-date exercise information, from which additional aggregated insights will be derived. Customers can leverage auto-sync planting, software, and harvest exercise information from Local weather FieldView accounts immediately into Azure Knowledge Supervisor for Agriculture.
Microsoft and Bayer: Leveraging generative AI to allow interplay with knowledge by means of language
However it doesn’t cease at knowledge. We imagine entry to insights and knowledge must be extra interactive, intuitive, and fully human-centric. Think about, as a farmer, with the ability to merely ask the query: “Which fields had rain final evening?” 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 will be queried in a conversational context. These capabilities allow others to construct their very own agriculture copilots that ship insights to clients and farmers about illness, yield, labor wants, harvest home windows, and extra—leveraging precise planning and observational knowledge.
Bayer is the primary accomplice 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 means of the power to work together with agronomic knowledge 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 surroundings knowledge. Customers ask the AI-powered chatbot about completely different eventualities and the copilot supplies correct responses virtually 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 knowledge 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, decrease environmental impression, and maximize general 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 knowledge mannequin to allow insights on potential yield-limiting components in growers’ fields. Due to Microsoft Azure Knowledge Supervisor for Agriculture, Bayer can stay centered on constructing clever options for growers, slightly than investing time and assets in knowledge administration.
Land O’Lakes is utilizing Azure Knowledge Supervisor for Agriculture to cut back time spent on knowledge integrations, thereby slicing down engineering efforts and prices.
“Our job is to convey all the knowledge 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 knowledge scientists are actually in a position to derive higher insights by means of complete analytics and clever modeling—in the end supporting extra environment friendly, sustainable farming.
Study extra about our agriculture options
If you happen to’re excited by studying extra about our dedication to innovation in agriculture, come go to us at Bayer’s sales space (Corridor eight, 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—Latest developments in giant language modelling utilized to agriculture
Learn the way AI know-how will be utilized to agriculture by means of an improved and environment friendly enhancement to analytics processing—providing elevated insights on the pace of a query. This session will talk about what’s out there right this moment and what the near-term future holds. - November 13, 2023—Developments in know-how concentrating on the Agriculture and meals worth chain
Hear numerous organizational views about current developments in agriculture that help knowledge interoperability, improved transparency throughout agricultural worth chains, accelerated farm and meals innovation, and the partnerships driving this variation.
For added data, go to the Microsoft Azure Knowledge Supervisor for Agriculture web site. The longer term is vivid, as generative AI and different analytics options allow insights round optimizing useful resource allocation, minimizing environmental impression, maximizing agricultural productiveness, and far more.
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