{"id":135029,"date":"2026-07-09T11:34:07","date_gmt":"2026-07-09T15:34:07","guid":{"rendered":"https:\/\/www.agribusinessglobal.com\/?p=135029"},"modified":"2026-07-09T15:22:43","modified_gmt":"2026-07-09T19:22:43","slug":"ag-tech-talk-podcast-using-ai-to-unlock-the-value-of-farm-data","status":"publish","type":"post","link":"https:\/\/www.agribusinessglobal.com\/zh\/agtech\/ag-tech-talk-podcast-using-ai-to-unlock-the-value-of-farm-data\/","title":{"rendered":"\u519c\u4e1a\u79d1\u6280\u8bbf\u8c08\u64ad\u5ba2\uff1a\u5229\u7528\u4eba\u5de5\u667a\u80fd\u91ca\u653e\u519c\u573a\u6570\u636e\u7684\u4ef7\u503c"},"content":{"rendered":"

Agriculture is generating more data than ever before, including equipment telemetry, satellite imagery, soil health, weather, and \u751f\u7269<\/a> performance, but as the volume of information continues to grow, the industry’s biggest challenge isn’t collecting more data \u2014 it\u2019s making that data usable.<\/p>\n

\u5728\u672c\u671f\u519c\u4e1a\u79d1\u6280\u8bb2\u5ea7\u4e2d AgriBusiness Global<\/strong>, three leaders whose companies are working together to advance \u4eba\u5de5\u667a\u80fd<\/a>-ready spatial intelligence for agriculture explore how the industry is turning complex farm data into actionable insights. Bailey Stockdale, Founder and CEO of Leaf Agriculture<\/a>, Ben Pruden, Head of GTM and Marketing at Wherobots<\/a>, and Rachel Zack, Co-Founder of Felt<\/a>, discuss how their complementary technologies \u2014 spanning data infrastructure, geospatial computing, visualization, and artificial intelligence \u2014 are helping transform fragmented datasets into practical insights that support better decision-making across agriculture.<\/p>\n

The conversation examines why interoperability remains one of ag tech’s biggest hurdles, how AI is reducing the technical barriers to working with complex agricultural data, and why the future isn’t about giving growers or agronomists another dashboard. It’s about delivering answers within the workflows they already use.<\/p>\n

Listen to the full conversation below to hear how today’s data infrastructure is laying the foundation for the next generation of precision agriculture and AI-driven decision-making.<\/p>\n

\"Ag<\/a> \"\"<\/a><\/p>\n

\u64ad\u5ba2\u6210\u7ee9\u5355\uff1a<\/h2>\n

*\u8fd9\u662f\u7ecf\u8fc7\u7f16\u8f91\u7684\u90e8\u5206\u6587\u5b57\u7a3f\u3002.<\/em><\/p>\n

AgriBusiness Global: Agriculture is generating enormous amounts of data \u2014 from satellite imagery and equipment telemetry to soil, weather, and biological performance data. What’s happening behind the scenes to make all of that information usable?<\/strong><\/p>\n

Ben Pruden:<\/strong> The first step is preparing data so AI systems can actually work with it. That means connecting information from many different sources and organizing it into a structure that allows AI to understand relationships between those datasets. Once the data is linked and standardized, it becomes much easier to query, analyze, and generate answers quickly instead of spending hours or days processing information.<\/p>\n

ABG: Once that data is connected, what does it take to turn it into something people can actually use?<\/strong><\/p>\n

Bailey Stockdale:<\/strong> Agriculture data comes from countless machines, sensors, weather stations, and software platforms \u2014 each with its own file formats and standards. Before any analysis can happen, that information has to be translated into a common language.<\/p>\n

Once the data is standardized, companies can begin asking meaningful business questions rather than simply managing files. Technologies like modern data lakes and AI dramatically reduce the time required to analyze massive datasets, allowing questions that once took analysts days or weeks to answer to be solved in minutes.<\/p>\n

The real breakthrough isn’t just faster computing. It’s putting that analytical power directly into the hands of the people who understand the problem.<\/p>\n

ABG: How do you make that complexity understandable for the end user?<\/strong><\/p>\n

Rachel Zack:<\/strong> Visualization is where the data becomes actionable. Felt automatically converts different geospatial formats into a common view, allowing users to layer information together and immediately begin exploring patterns through maps, heat maps, and natural language queries.<\/p>\n

Rather than requiring specialized Geographic Information System (GIS) or Structured Query Language (SQL) expertise, users can simply ask questions such as where equipment is slowing down or where field performance differs, and the platform generates both the analysis and visualization.The collaborative aspect is equally important. Teams can annotate maps, validate findings with field personnel, and quickly determine whether a result reflects a genuine operational issue or simply a data anomaly.<\/p>\n

The goal is to bring the people who understand the business problem closer to the data. When that happens, decisions become much faster and much more informed.<\/p>","protected":false},"excerpt":{"rendered":"

Experts discuss transforming fragmented agricultural information into practical insights, simplifying decisions through interoperable spatial intelligence embedded within existing workflows seamlessly.<\/p>","protected":false},"author":1367,"featured_media":135030,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1917,1604,1848,1886],"tags":[54],"class_list":["post-135029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-abg-update-feature","category-agtech","category-executive-outlook","category-podcast","tag-featured-home"],"yoast_head":"\nAg Tech Talk 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interoperable spatial intelligence embedded within existing workflows seamlessly.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.agribusinessglobal.com\/zh\/agtech\/ag-tech-talk-podcast-using-ai-to-unlock-the-value-of-farm-data\/\" \/>\n<meta property=\"og:site_name\" content=\"AgriBusiness Global\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-09T15:34:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-09T19:22:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2026\/07\/AgTechTalk-FeatureImage-Ep36.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"kahenderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" 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