{"id":550,"date":"2024-10-04T07:30:24","date_gmt":"2024-10-04T11:30:24","guid":{"rendered":"https:\/\/labs.ri.cmu.edu\/kantorlab\/?p=550"},"modified":"2024-11-14T13:39:10","modified_gmt":"2024-11-14T18:39:10","slug":"ai-institute-for-resilient-agriculture","status":"publish","type":"post","link":"https:\/\/labs.ri.cmu.edu\/kantorlab\/ai-institute-for-resilient-agriculture\/","title":{"rendered":"AI Institute for Resilient Agriculture"},"content":{"rendered":"\t\t
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Home<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\tBuild\t\t\t<\/span>\n\t\t\t\t\t\n\t\t\t\tDeploy\t\t\t<\/span>\n\t\t\t\t\t\n\t\t\t\tDemocratize\t\t\t<\/span>\n\t\t\t\t\t\n\t\t\t\tAdopt\t\t\t<\/span>\n\t\t\t\t\t\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/h2>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AIIRA’s vision is to create new AI-driven, predictive digital twins for modeling plants, and deploy them to increase the resiliency of the nation’s agricultural systems.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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AIIRA is a collaborative project involving faculty members from eight universities and organizations across the United States.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AIIRA’s Vision<\/strong><\/p>\n

AIIRA will transform agriculture by creating a new AI-driven framework for modeling plants at various agronomically relevant scales. We accomplish this by introducing AI-driven digital twins that fuse diverse data with siloed domain knowledge. We will deploy these twins across ag applications that directly impact the USDA Science Blueprint involving crop improvement and production. These applications require foundational advances in AI. Our strong social science focus will ensure the adoption of AI in ag. We will democratize access to AI tools to the broader research and Ag community. We have signature education activities that will build an AI-aware workforce. We also have signature activities to provide AI training to native American communities and ensure increased participation of women in AI. Finally, AIIRA will serve as a nexus for the broad adoption of AI-in-Ag through activities with our large stakeholder network<\/p>\n

Learn more about what the Kantor Lab is doing in AIIRA at our website here:  https:\/\/labs.ri.cmu.edu\/aiira\/<\/p>\n

Learn more about AIIRA’s Parent Institute at Iowa State here: https:\/\/aiira.iastate.edu\/<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Build Deploy Democratize Adopt AIIRA’s vision is to create new AI-driven, predictive digital twins for modeling plants, and deploy them to increase the resiliency of the nation’s agricultural systems. Read below… https:\/\/youtu.be\/Azx2dvdDXbMhttps:\/\/youtu.be\/ZHwfEh6Tvms AIIRA is a collaborative project involving faculty members from eight universities and organizations across the United States. AIIRA’s Vision AIIRA will transform agriculture … Continued<\/a><\/p>\n","protected":false},"author":22,"featured_media":593,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-550","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"yoast_head":"\nAI Institute for Resilient Agriculture - Kantor Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/labs.ri.cmu.edu\/kantorlab\/ai-institute-for-resilient-agriculture\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Institute for Resilient Agriculture - Kantor Lab\" \/>\n<meta property=\"og:description\" content=\"Build Deploy Democratize Adopt AIIRA’s vision is to create new AI-driven, predictive digital twins for modeling plants, and deploy them to increase the resiliency of the nation’s agricultural systems. 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