'JD' Sends Deere Into AI race 09/01 08:09

   John Deere Launches 'JD' AI Assistant to Unlock Farm Data Insights

   John Deere unveiled "JD," a free AI assistant embedded in Operations Center, 
that analyzes a farm's existing field, machine and operational data to deliver 
personalized, actionable insights, with farmers retaining full control of their 
data.

Joel Reichenberger
Progressive Farmer Senior Editor

   AMES, Iowa (DTN) -- JD is John Deere's answer in AI.

   The agriculture machinery giant introduced its artificial intelligence 
assistant on Monday, describing "JD" as a solution to the data-heavy world in 
which today's farmers work.

   "Today, we're introducing JD," said Jackson Baca, the group product 
marketing manager for digital at Deere. "JD is the John Deere AI assistant 
embedded in Operations Center, and this AI assistant is here to help you get 
more value for the data that already exists in your operations center account."

   The program will be rolled out to some farmers in a staged release starting 
Tuesday, Sept. 1, but there's no timeline for it to be more widely available to 
farmers or the public. It will be built straight into Operations Center and 
won't command any extra cost or subscription fee to use.

   From Deere's Operations Center, it will seek to mine collected farm data to 
offer insights that could help farmers make decisions. It could evaluate 
performance from previous years in a certain field, compare yields between seed 
varieties and, with a farmer's permission and ability to stop the flow at any 
time, incorporate third-party apps to assist.

   Asked on Monday why a certain field was seeing more weeds than usual, JD set 
off, in short order, using years of data on that plot and an understanding of 
the most recent season's crops and chemical application to offer up a list of 
five possible answers.

   "Decades of data generated across farmers' machines, fields and operations 
are becoming faster and more accessible, with insights they can put to work," 
said Deanna Kovar, president of Deere's Worldwide Agriculture and Turf 
division, summing up JD's capabilities.

   "JD can turn that hard-earned data into timely, relevant guidance specific 
to their farm and their needs," she said.

   The technology has already been tested on some farms and that work will 
continue in an early access program available exclusively to some U.S.-based ag 
operators.

   "What we're after there is additional feedback and understanding the value 
that we're bringing with JD and how it's helping them in their operation," Baca 
said. "As we continue to get that feedback, we'll look at launching to general 
availability after that."

   JD works on the back of a large language model, such as ChatGPT from OpenAi, 
Claude from Anthropic, Gemini from Google or Grok from xAI, though Deere 
declined on Monday to specify which model it's using or even which company it's 
working with.

   It won't pull all the data already accumulated in such LLMs, so ask 
elsewhere how to redecorate the office or where best to vacation with 
rambunctious children. It will, however, strive to offer deep insight into a 
specific farm's operation using data gathered from a variety of sources. It'll 
pull in data from planting, considering variety and density, and data from a 
combine's yield monitor. It will check a weed heat map generated from a See & 
Spray Deere sprayer and even consult old equipment owner's manuals. It'll 
calculate fuel efficiency and machinery wear and tear, collecting information 
from throughout the Deere ecosystem, and beyond. It can also use data from 
different manufacturers, anything that can currently be loaded into Deere's Op 
Center interface.

   "It's augmenting human intelligence," said Kevin Seidl, who leads the 
Operations Center product management team. "Many of the things it can help with 
are things an expert level data analyst could spend a lot of time on and pull 
out these kinds of observations."

   It could take an expert weeks. JD proposes to do it in seconds.

   Deere pitched the system as safe, secure and personal, drawing from a 
farmer's own data and keeping any answers generated or data produced within 
those same confines.

   Collected data will be used to improve results for one farm, but it will not 
be used to train JD or any other AI system and won't be available to anyone a 
farmer doesn't approve.

   "As our technology becomes more capable and enhances our customers' 
workflows, we know that our responsibility is going to grow with it," said 
Jahmy Hindman, senior vice president and Deere's chief technology officer. 
"Greater intelligence requires strong foundations in security, transparency and 
clear customer control. Farmers need to understand how the technology can 
provide the right answer when limitations exist and how that recommendation was 
reached. Regardless of how advanced technology becomes, farmers must always be 
the final decision makers, and our ambition goes beyond building market-capable 
technology. It's to build technology that customers can confidently rely on and 
trust."

   For now, JD will be limited in its capability, restricted mostly to 
analysis. The first iterations rolled out this fall won't have the ability to 
make decisions or perform actions in the cab.

   But, among the things that came into focus Monday was the fact that when it 
comes to Deere's ambitions with JD, more broadly speaking, this is only the 
beginning.

   "As we continue to evolve it, we'd like it to take certain actions," Seidl 
said. "'Hey, help me create this work plan. Help me create a boundary for this 
field,' right? Right now, it's analyzing and producing results, but we would 
like it to go beyond that."

   Joel Reichenberger can be reached at Joel.Reichenberger@dtn.com

   Follow him on social platform X @JReichPF




(c) Copyright 2026 DTN, LLC. All rights reserved.