{"id":30227,"date":"2023-11-08T23:30:00","date_gmt":"2023-11-09T07:30:00","guid":{"rendered":""},"modified":"2023-11-08T05:50:21","modified_gmt":"2023-11-08T13:50:21","slug":"evolving-microsoft-azure-data-manager-for-agriculture-to-transform-data-into-intuitive-insights","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/evolving-microsoft-azure-data-manager-for-agriculture-to-transform-data-into-intuitive-insights\/","title":{"rendered":"Evolving Microsoft Azure Data Manager for Agriculture to transform data into intuitive insights"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>The quiet revolution of data and analytics in agriculture&nbsp;<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As <a href=\"https:\/\/www.agritechnica.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">AGRITECHNICA 2023<\/a>\u2014the world\u2019s leading trade fair for agricultural machinery\u2014makes a triumphant return after nearly four years, over 450,000 attendees from 130 countries will come together to witness the latest and greatest agriculture innovations firsthand. However, not all of these breakthrough innovations take up large exhibition spaces. Some are quietly revolutionizing the industry through data and analytics, equipping farmers with tools for smarter, data-driven decision-making.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These data-driven tools\u2014including transformative AI that is reshaping industries\u2014depend on clean, unified data. That\u2019s why we announced <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/data-manager-for-agriculture\/\">Microsoft Azure Data Manager for Agriculture<\/a> in March 2023, a data platform that leverages industry-specific data connectors and capabilities to connect and unify farm data from disparate sources. With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions, allowing customers and partners to focus on product innovation rather than data management.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Today, alongside Bayer at the AGRITECHNICA 2023 conference, we\u2019re thrilled to announce the latest updates to Azure Data Manager for Agriculture that are ushering in an era of AI in agriculture.<\/p>\n\n\n<div class=\"wp-block-msxcm-cta-block\" data-moray data-bi-an=\"CTA Block\">\n\t<div class=\"card d-block mx-ng mx-md-0\">\n\t\t<div class=\"row no-gutters\">\n\n\t\t\t\n\t\t\t<div class=\"d-flex col-md\">\n\t\t\t\t<div class=\"card-body align-self-center p-4 p-md-5\">\n\t\t\t\t\t\n\t\t\t\t\t<h2>Azure Data Manager for Agriculture<\/h2>\n\n\t\t\t\t\t<div class=\"mb-3\">\n\t\t\t\t\t\t<p>Innovate with agriculture data<\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"link-group\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/data-manager-for-agriculture\/\" class=\"btn btn-link text-decoration-none p-0\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<span>Sign up now<\/span>\n\t\t\t\t\t\t\t\t<span class=\"glyph-append glyph-append-chevron-right glyph-append-xsmall\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<div class=\"col-md-4\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"682\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2023\/03\/ef3819d6-469f-4f60-ae07-0795b32959e4.jpg\" class=\"card-img img-object-cover\" alt=\"a man holding a flower\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">A growing ecosystem of partners and data&nbsp;with Microsoft Fabric integrations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To start, Azure Data Manager for Agriculture is evolving to include new integrations with <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Fabric<\/a>. This begins with the inclusion of <a href=\"https:\/\/learn.microsoft.com\/en-us\/fabric\/data-factory\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Fabric Data Factory<\/a>, bringing cloud-scale data movement and transformation to agriculture-specific scenarios. Now, third-party data partners can build connectors to ingest data from more sources into a unified database. Leveraging these Fabric integrations, Microsoft and our partners are expanding Azure Data Manager for Agriculture with more agriculture-specific connectors and capabilities so that insights are no longer limited by specific data types and sources.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We\u2019ve also built connector patterns that others can use as references and expanded the common data model to incorporate geospatial data, making more data integrations seamless and efficient. Given the importance of the ability to search through time and space when looking at observation data, geospatial ground truth data has been elevated to a first-class component.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We are also excited to expand support for Bayer\u2019s Climate FieldView as a built-in data source. Once initiated by a farmer, Azure Data Manager for Agriculture provides a straightforward path to retrieving both historic and up-to-date activity files, from which further aggregated insights can be derived. Users can leverage auto-sync planting, application, and harvest activity files from Climate FieldView accounts directly into Azure Data Manager for Agriculture.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Microsoft and Bayer: Leveraging generative AI to enable interaction with data through language<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">But it doesn\u2019t stop at data. We believe access to insights and data should be more interactive, intuitive, and entirely human-centric. Imagine, as a farmer, being able to simply ask the question: \u201cWhich fields had rain last night?\u201d or \u201cHow many acres have been harvested?\u201d and receiving a precise and accurate answer, immediately.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With new large language model APIs in Azure Data Manager for Agriculture, generative AI in agriculture is now a reality. The large language model APIs enable the seamless retrieval of data mapped to farm operations, sensors, weather, and imagery so that farming-related context and insights can be queried in a conversational context. These capabilities enable others to build their own agriculture copilots that deliver insights to customers and farmers about disease, yield, labor needs, harvest windows, and more\u2014leveraging actual planning and observational data.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bayer is the first partner bringing these large language model capabilities to life with a copilot for agriculture. In its early stages, Bayer is presenting an agriculture copilot and testing multiple scenarios with internal teams to discover where large language model capabilities can add value through the ability to interact with agronomic data using natural language.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Bayer copilot for agriculture is a querying system that helps end users like dealers and farmers get actionable insights from their farm and environment data. Users ask the AI-powered chatbot about different scenarios and the copilot provides accurate responses almost instantly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Building on a foundation of innovation&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Azure Data Manager for Agriculture has already enabled incredible evolutions in Agriculture with partners like Accenture, Bayer, and Land O\u2019Lakes.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By integrating disparate data sources and streamlining them into a unified interface, Accenture\u2019s Farm of the Future empowers farmers to track and manage their sustainability initiatives more effectively. Built on Microsoft Azure Data Manager for Agriculture, the solution provides comprehensive oversight of a farm\u2019s sustainability practices. Advanced analytics deliver actionable insights that help farmers optimize resource allocation, minimize environmental impact, and maximize overall agricultural productivity and profitability.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bayer\u2019s Climate FieldView platform uses Azure Data Manager for Agriculture\u2019s satellite and weather pipelines and common data model to enable insights on potential yield-limiting factors in growers\u2019 fields.\u202fThanks to Microsoft Azure Data Manager for Agriculture, Bayer can remain focused on building intelligent solutions for growers, rather than investing time and resources in data management.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/customers.microsoft.com\/en-us\/story\/1660034435417978099-land-o-lakes-consumer-goods-azure-data-manager-for-agriculture\" target=\"_blank\" rel=\"noreferrer noopener\">Land O\u2019Lakes<\/a> is using Azure Data Manager for Agriculture to reduce time spent on data integrations, thereby cutting down engineering efforts and costs.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201c<em>Our job is to bring all the information together to make sense of it. Azure Data Manager for Agriculture is helping us do that<\/em>.\u201d<\/p>\n<cite>Tom Ryan, President at Truterra, the sustainability division of Land O\u2019Lakes<\/cite><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Land O\u2019Lakes data scientists are now able to derive better insights through comprehensive analytics and intelligent modeling\u2014ultimately supporting more efficient, sustainable farming.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Learn more about our agriculture solutions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019re interested in learning more about our commitment to innovation in agriculture, come visit us at Bayer\u2019s booth (Hall 8, Booth C15) at AGRITECHNICA 2023 in Hanover, Germany the week of November 12 to 18, 2023. We\u2019ll be presenting several sessions, including:&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>November 12, 2023\u2014Recent advancements in large language modelling applied to agriculture<\/strong><br>Learn how AI technology can be applied to agriculture through an improved and efficient enhancement to analytics processing\u2014offering increased insights at the speed of a question. This session will discuss what&#8217;s available today and what the near-term future holds.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>November 13, 2023\u2014Advancements in technology targeting the Agriculture and food value chain<\/strong>&nbsp;<br>Hear various organizational perspectives about recent advancements in agriculture that support data interoperability, improved transparency across agricultural value chains, accelerated farm and food innovation, and the partnerships driving this change.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For additional information, visit the <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/data-manager-for-agriculture\/\">Microsoft Azure Data Manager for Agriculture website<\/a>. The future is bright, as generative AI and other analytics solutions enable insights around optimizing resource allocation, minimizing environmental impact, maximizing agricultural productivity, and much more.&nbsp;&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions, allowing customers and partners to focus on product innovation rather than data management.<\/p>\n","protected":false},"author":42,"featured_media":30454,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1498],"tags":[2671],"audience":[3054,3055,3056],"content-type":[1460,1497],"product":[1821],"tech-community":[],"topic":[],"coauthors":[1180],"class_list":["post-30227","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-integration","tag-ai","audience-business-decision-makers","audience-developers","audience-it-implementors","content-type-events","content-type-partnerships","product-azure-data-factory","review-flag-8-1680286581-263","review-flag-lever-1680286579-649","review-flag-new-1680286579-546","review-flag-partn-1680286579-901"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Evolving Microsoft Azure Data Manager for Agriculture to transform data into intuitive insights | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions. 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