Artificial Intelligence
Alexander Reichert warns that bad data and do-it-yourself builds can sink AI projects. He also lays out five trends that make standing still costly.
Companies that take the wrong approach in developing an effective tool are likely to flunk on the farm. Here’s what they’re missing.
Orbit AI platform is betting that agentic AI can turn the crop input supply chain from reactive to predictive — for input and seed companies, and for the agronomists working directly with growers.
A survey of 5,500 farmers found the influence of nontechnical sales reps down 17 points in North America while agronomists held flat. The difference isn’t who calls on the grower. It’s what they bring when they get there.
Each agriculture revolution arrived faster than the last one; now here comes AI, and no technology in ag’s history has promised to rewire the economics of farming this fast.
Greenwing AI says its first agricultural intelligence alert shows how satellite-based monitoring could detect crop stress before it is visible in the field.
Heritable says its platform can match plant genetics to geography with 10-meter field-level accuracy, helping users predict how varieties of nearly any crop could perform in specific locations around the world.
Ever.Ag’s latest Everett expansion into agribusiness comes wrapped in the language of agentic AI, but the more consequential shift may be structural: a rebuilt FieldAlytics platform and deeper ERP integration designed to let agronomic insight flow directly into bookings, work orders, recommendations, and other day-to-day retail actions.
As the ag talent pipeline tightens, Purdue’s Trey Malone says retailers need a clearer strategy for deciding what talent to develop, what to hire and what work no longer requires a person at all.
As crops accelerate through key growth stages, Mark Herz, agronomy technical specialist at CHS, shares three priorities for midseason crop scouting.
Advisors managing hundreds of accounts now have a way to deliver answers in seconds, not hours
Explore the three buckets of AI, the future of autonomous farming, and how retailers can overcome “data fatigue” to deliver real-world ROI and profitability to their grower customers.
Explore the evolving value of CCA certification in ag retail, from recruitment vetting to AI technology and USDA partnerships.
These tools aim to help retailers manage their time, provide accuracy in recommendations and reduce risk in agronomic decisions.
From field scanners to custom audio briefings, HarvestReplay is now available for farmers to turn complex field data into actionable daily insights.
New data shows that winning in 2026 requires a ‘digital handshake'—using technology to remove friction while keeping the relationship front and center.
With clear benefits in a pilot program, Syngenta and Taranis are expanding the footprint for a new sustainability project.
Four ways artificial intelligence helps these farmers manage their business.
By partnering with Intelinair and Anthropic, Growmark is “disrupting itself” to build a technology-core for the next generation of farming.
Today’s market is evolving, not just correcting, according to ag economists. To win the long game, farmers are using generics and delaying machinery purchases as trade shifts to allies and consumers demand premium meat portions.
Agtonomy is tapping into the gaming generation to solve the ag labor crisis. Screen-based expertise replaces in-seat experience to offer Gen Z a high-tech alternative to traditional manual labor.
How combining vision, creativity and technology can fuel the entrepreneurial drive.
An Iowa State University team has developed an AI companion that uses a database of over 31 million images and conversational technology to provide farmers with real-time identification and expert management advice for insects and weeds.
An intentional integration strategy brings telematics into a clearer view for ag retailers.
From collaborative beginnings to field-proven reliability, artificial intelligence ultimately needs to be a practical, profitable tool for producers.
One industry pilot program illustrates how tech tools improve shrink and elevate inventory management.
This artificial intelligence-boosted workflow could double your team’s white-collar productivity.
For artificial intelligence to truly deliver in agriculture, retailers must build a foundation of data and trust.