Farmers to gain control with John Deere AI assistant data tool

John Deere has shown off its new artificial intelligence (AI) assistant called JD that aims to simplify data processing on farms.
The American company is updating its ‘John Deere Operations Centre’ farm management platform with JD, an AI assistant built into the system that the company says “gives farmers an entirely new way to put their data to work”.
According to John Deere, farmers can ask the AI a question and it will generate results based on data collected in the tractor.
Response generation
The AI “enables farmers to have a conversation with the vast amount of field, machine and operational data they generate”, the company said.
Its is to “create the opportunity” to improve yields, drive savings and strengthen farm profitability.
Instead of searching across dashboards and reports, farmers can ask a multitude of questions, such as:
How did my fuel use during tillage this year compare with the last three years?
How did singulation compare across my fields, and what impact did it have on yield?
Which sprayer operator is covering the most acres per hour?
When is the optimal time to harvest based on historical trends?
According to John Deere, with JD, farmers can “surface the right information quickly and receive practical responses grounded in their own data”.
John Deere chief technology officer, Jahmy Hindman, spoke about the role JD can play in improving data analysis on farms.
He said: “Farmers have more data available to them than ever before, but the value comes from their ability to use it in the moments that matter.
“JD changes the experience from navigating through a sea of data to simply asking it a question.
“It puts advanced data analysis within reach by enabling farmers to receive answers tailored to their farm and their needs in a matter of seconds.”
Data processing
John Deere says that farmers should remain in control of their data, understand how it is used and receive clear value from it.
The company claims its Farmer Data Commitment reinforces that approach with 10 principles, including that the farmer controls their data, the company does not sell data and only uses it as described in agreements and policies.
John Deere has committed to raising awareness of any changes to data usage in the future before they take place.
It said any data it uses is anonymised and aimed at developing “improved machine performance and decision-making insights”.
Source: John Deere
Farmers can choose not to share farm data with third parties, and can also choose which third parties they want to share data with.
John Deere says it will not use farm data for agricultural commodity trading or speculation, and that farmers will receive clear value from their farm data.
Deanna Kovar, who leads John Deere’s agriculture division, spoke about the company’s commitment to putting farmers in control of their data.
She said: “Farmers receive value from their data when they can use it to make better decisions, and we believe that value should come with control, transparency and choice.
“Our view is simple: farmers should control their data, clearly understand how it is used, and benefit from the insights it can create.
“JD and the Farmer Data Commitment are part of the same vision for helping farmers put their data to work on their terms,” she said.
JD
John Deere is also opening a limited early access programme for select agricultural customers in the US, allowing eligible participants to express interest in participation.
The AI assistant will become more broadly available later this year through Operations Centre on web, mobile, and eventually via in-cab display interface.
John Deere said it plans to introduce capabilities tailored to customers across turf, construction, roadbuilding and forestry, extending JD’s value across the company’s broader customer base.
JD was on display at the 2026 Farm Progress show , where attendees could learn about the AI and hear about the company’s approach to both data and A
Source: Agriland. Summary reproduced for informational purposes.
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