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Sep. 9, 2026 By Eduardo Morales, Farm Journal's The Scoop magazine Farmers operating John Deere equipment will soon have a new "assistant" to put to work. Meet "JD," an artificial intelligence (AI) assistant built into John Deere Operations Center. Designed to act as a conversational partner, JD allows farmers to ask questions and receive immediate, customized answers generated from their own field, machine and operational data. To view a video click here. "Our goal is to help farmers turn their data into practical value," says Deanna Kovar, John Deere's president of the worldwide agriculture & turf division. "Farmers decide which third parties they want to connect with, whether that's a dealer, agronomist or a connected software partner." Turning Data Into Actionable Insights4 According to John Deere, JD delivers information quickly, providing practical operational metrics in a format that's easy for farmers to understand. Farmers can simply ask JD questions such as: 1. How did my fuel use during tillage this year compare with the last three years? (Helps identify best practices to reduce fuel costs.) 2. How did singulation compare across my fields, and what impact did it have on yield? (Provides a better understanding of how planter settings affect your bottom line.) 3. Which sprayer operator is covering the most acres per hour? (Highlights operational inefficiencies and team performance.) 4. When is the optimal time to harvest based on historical trends? (Enables smarter logistics, labor management, and harvest planning.) "This AI assistant is there to help you get more value from the data that already exists in your Operations Center," says Jackson Baca, group product marketing manager for John Deere. "We know that every season, field and decision you make is different from your neighbor. JD provides you answers based on your data and not general advice." How JD Works: The Three-Layer System To deliver precise answers, the AI assistant is built on a three-layer architecture: 1. User interface where customers can interact with JD. 2. AI assistant where customers receive answers and JD orchestrates the right response based on the farmer's data. 3. Knowledge layer where JD contains the information needed to answer questions. John Deere notes that JD is built on six core values: Truth and clarity; human control; safety and responsibility; professionalism; respect; and trust. A Commitment to Data Privacy and Control As AI becomes more integrated into farming, data privacy remains a top concern. John Deere stresses its strict adherence to its Farmer Data Commitment, a set of 10 principles reinforcing the message that a farmer's data solely belongs to the farmer: To read the entire article click here. Tweet |
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