{"id":229927,"date":"2026-01-12T15:10:17","date_gmt":"2026-01-12T15:10:17","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/229927\/"},"modified":"2026-01-12T15:10:17","modified_gmt":"2026-01-12T15:10:17","slug":"agriculture-executives-move-ai-into-farmings-economic-core","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/229927\/","title":{"rendered":"Agriculture Executives Move AI Into Farming\u2019s Economic Core"},"content":{"rendered":"<p>At <a href=\"https:\/\/www.ces.tech\/\" target=\"_blank\" rel=\"noopener nofollow\">CES<\/a> last week, executives from agriculture, genetics and crop-protection companies in a panel discussion described how artificial intelligence (AI) is moving upstream into the economic core of farming, reshaping decisions about what gets planted, where inputs are applied and how yields are maximized. Agriculture operates on razor-thin margins at global scale, meaning even small gains in efficiency or forecasting can ripple into billions of dollars across food supply chains.<\/p>\n<p>The <a class=\"editor-rtfLink\" href=\"https:\/\/www.ces.tech\/videos\/farmerai-imagining-an-ai-powered-farm\/\" target=\"_blank\" rel=\"noopener nofollow\">panel<\/a> featuring executives John Deere, <a class=\"editor-rtfLink\" href=\"https:\/\/heritable.ag\/\" target=\"_blank\" rel=\"noopener nofollow\">Heritable Agriculture<\/a> and crop-protection firm <a class=\"editor-rtfLink\" href=\"https:\/\/www.invaio.com\/\" target=\"_blank\" rel=\"noopener nofollow\">Invaio Sciences<\/a> highlighted how AI is evolving from a set of precision tools into a software layer that connects genetics, chemistry and machines in the field. Rather than replacing farmers, panelists said, AI is absorbing complexity that growers have historically managed through experience, intuition and manual work. <\/p>\n<p>From Precision Equipment to Software-Defined Farming<\/p>\n<p>For decades, innovation in agriculture has centered on hardware: bigger machines, better sensors and tighter mechanical control. AI is now shifting that focus toward software-defined farming, where machines execute plans created by models that combine satellite imagery, historical yield data and real-time sensor inputs.<\/p>\n<p><a class=\"editor-rtfLink\" href=\"https:\/\/www.linkedin.com\/in\/melissa-neuendorf-67b6555\" target=\"_blank\" rel=\"noopener nofollow\">Melissa Neuendorf,<\/a> who leads AI efforts at John Deere, pointed to harvesting as a clear example. Modern combines can now adjust their speed automatically based on predicted crop density ahead, optimizing productivity without constant human intervention.<\/p>\n<p>\u201cWe\u2019re able to predict and understand what the crop density is going to be coming up,\u201d Neuendorf <a class=\"editor-rtfLink\" href=\"https:\/\/www.ces.tech\/videos\/farmerai-imagining-an-ai-powered-farm\/\" target=\"_blank\" rel=\"noopener nofollow\">said<\/a>. \u201cThen the machine is going to adjust its speed so that it can maintain its optimum productivity.\u201d<\/p>\n<p>The goal, she emphasized, is not to turn farmers into technologists. \u201cFarmers didn\u2019t get into farming because they want to be data scientists,\u201d Neuendorf said. \u201cThey got into farming because they wanted to feed and clothe the world.\u201d<\/p>\n<p style=\"text-align:center\">Advertisement: Scroll to Continue<\/p>\n<p>The same principle applies to weed control. PYMNTS has previously <a class=\"editor-rtfLink\" href=\"https:\/\/www.pymnts.com\/artificial-intelligence-2\/2025\/from-mines-to-oil-rigs-how-ai-is-rewiring-mining-energy-and-agriculture\/\" target=\"_blank\" rel=\"noopener nofollow\">covered<\/a> how John Deere has integrated AI into equipment to monitor changing field conditions.<\/p>\n<p>AI Pushes Upstream Into Seeds and Chemicals<\/p>\n<p>While companies like John Deere focus on execution in the field, AI is also reshaping decisions that happen years before planting. <a class=\"editor-rtfLink\" href=\"https:\/\/www.linkedin.com\/in\/timbeissinger\" target=\"_blank\" rel=\"noopener nofollow\">Tim Beissinger<\/a>, co-founder and CTO of Heritable Agriculture, <a class=\"editor-rtfLink\" href=\"https:\/\/www.ces.tech\/videos\/farmerai-imagining-an-ai-powered-farm\/\" target=\"_blank\" rel=\"noopener nofollow\">described<\/a> how AI models help match plant genetics to specific environments and management practices.<\/p>\n<p>\u201cOne of the biggest problems in plant genetics is genotype-by-environment interaction,\u201d Beissinger said. \u201cWe use AI models to figure out for a particular set of genetics, where will it perform best and how will it perform best.\u201d<\/p>\n<p>Heritable is also applying newer generative AI techniques to genomes themselves, treating DNA as a language of base pairs rather than words. \u201cThis sort of thing wasn\u2019t possible five years ago,\u201d Beissinger said, noting that the approach accelerates discovery without necessarily requiring genetic modification.<\/p>\n<p>Digital Twins, Trust and the Economics of Adoption<\/p>\n<p>A recurring theme across the panel was scale. AI enables decisions to be made with a level of geographic and biological precision that was previously impractical. Beissinger said his team can now \u201cdrop a pin anywhere on the planet\u201d and instantly estimate soil parameters and weather conditions that once required weeks of manual sampling.<\/p>\n<p>That capability underpins the rise of digital twins in agriculture. John Deere\u2019s operations platforms already allow farmers to maintain digital representations of equipment, fields and inputs. Heritable uses digital twins of plant varieties to simulate how genetics respond to changes in soil, irrigation or climate.<\/p>\n<p>\u201cWe are absolutely not getting there,\u201d Beissinger said. \u201cWe\u2019re there.\u201d<\/p>\n<p>Still, panelists cautioned that adoption depends on trust. <\/p>\n<p>\u201cHow do you build the trust of automation alongside the human experience?\u201d Neuendorf asked. The answer, she suggested, lies in delivering clear economic value without overwhelming farmers with data they must interpret themselves.<\/p>\n","protected":false},"excerpt":{"rendered":"At CES last week, executives from agriculture, genetics and crop-protection companies in a panel discussion described how artificial&hellip;\n","protected":false},"author":2,"featured_media":229928,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[6689,365,363,364,121213,118821,14934,136918,111,43,139,69,739,145],"class_list":["post-229927","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-agriculture","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ces","tag-ces-2026","tag-farming","tag-john-deere","tag-new-zealand","tag-news","tag-newzealand","tag-nz","tag-pymnts-news","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/229927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=229927"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/229927\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/229928"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=229927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=229927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=229927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}