{"id":94838,"topic":"ai","source":"Mobility Engineering Technology","title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","url_hash":"661b28169ae936b237b4b97a5bced5d0574c38e0","author":"","summary":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency Mobility Engineering Technology","content":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab.\nKey points\nWhat future digital capabilities are farmers most excited about?\n“AI,” Kelly Garrett, a sixth-generation farmer and owner of Garrett Land & Cattle in Arion, Iowa, flatly said during a John Deere press event at the Digital Ag Innovation Lab at Iowa State University prior to the Farm Progress Show.\nMoments later, John Deere announced the launch of JD, its AI assistant developed to help farmers to access and use their data more easily and efficiently. JD is embedded in the John Deere Operations Center, a cloud-based centralized platform, allowing farmers to ask it questions instead of having to search across multiple dashboards or reports.\n“We just started to play around with the AI tool a little bit. My son asked it to build a harvest schedule based on what fields will harvest first – all the varieties are in there, the planting dates are in there – and then build a path to traverse that,” said Garrett, who is also the co-founder of XtremeAg, a collaborative network of “progressive farmers” that test new technologies, analyze real-world data and share insights to improve on-farm performance.\n“The way it spit that out, it was really cool to read that for the first time,” he continued. “So now I think about soil-borne diseases, things like that – put those soil test results in there, put the soil types into that Ops Center AI and have it help you pick what varieties should go where based on the characteristics of that variety. I think some of the yield losses that we didn’t know we were experiencing or understand why we were experiencing them, the AI will help us analyze that. And it doesn’t really cost any more money to do that, it’s just data management and data understanding. Adopting AI is the next round of technology that can make us more efficient.”\nHow JD works\nJD enables farmers to turn years of field, machine and operational data into practical insights that can create the opportunity to improve yields, drive savings and strengthen farm profitability, said Jackson Baca, group product marketing manager, John Deere.\n“This AI assistant is there to help you get more value from the data that already exists in your Operations Center account,” Baca said. “JD helps you get answers, discover insights and take actions based on your fields, on your machines. JD provides answers reflected on your data and not generic advice built from someone else’s.”\nFarmers can ask questions such as:\n- How did my fuel use during tillage this year compare with the last three years?\n- How did singulation compare across my fields, and what impact did it have on yield?\n- Which sprayer operator is covering the most acres per hour?\n- When is the optimal time to harvest based on historical trends?\nAt launch, JD will be available through Operations Center on web and mobile and in the Equipment Mobile App. In the future, JD will be integrated into the G5 display so operators can get answers and assistance in the cab. “We would like to create action. We would like JD to help you think through, ‘What’s the next step that I need to take?’ And not just think through it but actually take that action,” Baca said.\nCreating work plans is an area that can benefit from AI. “In the future, we’ll have JD create that work plan and send it to your operators,” Baca said. “At the end of the day, farmers aren’t managing data, they’re managing a business, working to feed the world.”\nJD will provide caveats if it determines that there’s incomplete data to offer an answer or guidance, Baca told SAE Media. “Some customers have decades of data that’s in their Operations Center and some customers are just getting started in that journey,” he said. “JD will say, for example, ‘it looks like you’re missing planning data’ or ‘you’re missing your spraying data.’ JD will also ask follow-up questions if you start a prompt and it’s not clear on the direction that you’re trying to go.”\nJD is safeguarded by the same security and tools that protect Operations Center. “We must continue to take data security very seriously,” said Jahmy Hindman, senior vice president and chief technology officer, John Deere. “We have dedicated cybersecurity teams around the world. They use secure-by-design practices, continuous testing, regular software updates and proactive monitoring to help safeguard our systems…We protect customer data with the same level of care and discipline that we apply to our own data.”\nJohn Deere stresses a “Farmer Data Commitment” based on ten principles, which boils down to the farmers’ data belongs to them, it remains under their control, and it should create value for their operation.\nJohn Deere opened an Early Access Program for JD on September 1st, allowing U.S.-based agriculture customers to participate and provide John Deere with additional feedback prior to general availability. The AI assistant will become more broadly available later this year. As JD evolves, John Deere plans to introduce capabilities tailored to turf, construction, roadbuilding and forestry customers as well.\n“We have options for supporting data from other systems and then allowing retrofitability of our core technology stack onto other equipment,” said Kevin Seidl, director of product, digital solutions, John Deere. “To use Operations Center, you don’t necessarily need to be a John Deere equipment customer. You can have equipment of any color and as long as you can get the data flowing in via a couple different mechanisms – some manual, some automated – you can use Operations Center and JD.”\nAI in action in Pro Service\nIn 2025, John Deere came out with Ask AI in its Operations Center Pro Service tool. The function is based on help documentation and operator manuals, leveraging the information within Pro Service.\n“This is what we would call a ‘manual agent’; it’s an enhanced AI-optimized manual search,” Kent Brown, manager for aftermarket marketing, said during a demo of Pro Service and Ask AI. “You don’t even really need to diagnose the trouble code, and you don’t need to be hooked up to it. You can be three hours away and pull this up on your phone or computer and see that machine has this code. In Ask AI, you can type in the code, type in the issue, and it’ll shoot out the things you need to go look for – here’s where they’re at in the manual, here’s where they’re at on the machine. At that point, you don’t necessarily have to be an expert. It really simplifies that message and gives you an easier place to start rather than ‘I don’t even know where to start.’”\nKelli Sullivan, group product manager, marketing automation and governance, said that Ask AI has been the most popular feature in Pro Service. “This has been really a game changer for a lot of our customers,” she said.\nAsk AI provides actual information from the manuals and step-by-step guidance to move through the diagnostic tree. “Right now, there’s no connection to maybe a Machine Health Insight or a collection of DTCs; it’s not going to give you ‘I think it’s this.’ But I can promise you, that’s where it’s heading,” Brown said.\nEventually, the Ask AI agent will report up to JD through orchestration layers, expanding its capabilities. “We’ve built some of these agentic foundational layers where they add value, but the ultimate architecture is to get it to one experience for customers in JD,” Brown said.","image_url":"https://res.cloudinary.com/tbmg/ar_16:9,c_thumb,g_auto:subject,f_auto,q_auto/c_limit,w_400/v1790984119/sites/tohe/econa-16x9/56018/1000/jd-deere-sprayers-in-field-w.jpeg","lang":"en","published_at":"2026-10-02T21:08:47+00:00","fetched_at":"2026-10-02T22:15:05+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. Key points\nWhat future digital capabilities are farmers most excited about?","cluster_id":null,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7544 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7544,"summary_length":282,"usable_text_length":7544,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7544,"summary_length":282}},"news_item":{"id":94838,"canonical_url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","source_url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","source_name":"Mobility Engineering Technology","author":null,"published_at":"2026-10-02T21:08:47+00:00","locale":"en","topic":"ai","tags":[],"rss_summary":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency Mobility Engineering Technology","full_text":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab.\nKey points\nWhat future digital capabilities are farmers most excited about?\n“AI,” Kelly Garrett, a sixth-generation farmer and owner of Garrett Land & Cattle in Arion, Iowa, flatly said during a John Deere press event at the Digital Ag Innovation Lab at Iowa State University prior to the Farm Progress Show.\nMoments later, John Deere announced the launch of JD, its AI assistant developed to help farmers to access and use their data more easily and efficiently. JD is embedded in the John Deere Operations Center, a cloud-based centralized platform, allowing farmers to ask it questions instead of having to search across multiple dashboards or reports.\n“We just started to play around with the AI tool a little bit. My son asked it to build a harvest schedule based on what fields will harvest first – all the varieties are in there, the planting dates are in there – and then build a path to traverse that,” said Garrett, who is also the co-founder of XtremeAg, a collaborative network of “progressive farmers” that test new technologies, analyze real-world data and share insights to improve on-farm performance.\n“The way it spit that out, it was really cool to read that for the first time,” he continued. “So now I think about soil-borne diseases, things like that – put those soil test results in there, put the soil types into that Ops Center AI and have it help you pick what varieties should go where based on the characteristics of that variety. I think some of the yield losses that we didn’t know we were experiencing or understand why we were experiencing them, the AI will help us analyze that. And it doesn’t really cost any more money to do that, it’s just data management and data understanding. Adopting AI is the next round of technology that can make us more efficient.”\nHow JD works\nJD enables farmers to turn years of field, machine and operational data into practical insights that can create the opportunity to improve yields, drive savings and strengthen farm profitability, said Jackson Baca, group product marketing manager, John Deere.\n“This AI assistant is there to help you get more value from the data that already exists in your Operations Center account,” Baca said. “JD helps you get answers, discover insights and take actions based on your fields, on your machines. JD provides answers reflected on your data and not generic advice built from someone else’s.”\nFarmers can ask questions such as:\n- How did my fuel use during tillage this year compare with the last three years?\n- How did singulation compare across my fields, and what impact did it have on yield?\n- Which sprayer operator is covering the most acres per hour?\n- When is the optimal time to harvest based on historical trends?\nAt launch, JD will be available through Operations Center on web and mobile and in the Equipment Mobile App. In the future, JD will be integrated into the G5 display so operators can get answers and assistance in the cab. “We would like to create action. We would like JD to help you think through, ‘What’s the next step that I need to take?’ And not just think through it but actually take that action,” Baca said.\nCreating work plans is an area that can benefit from AI. “In the future, we’ll have JD create that work plan and send it to your operators,” Baca said. “At the end of the day, farmers aren’t managing data, they’re managing a business, working to feed the world.”\nJD will provide caveats if it determines that there’s incomplete data to offer an answer or guidance, Baca told SAE Media. “Some customers have decades of data that’s in their Operations Center and some customers are just getting started in that journey,” he said. “JD will say, for example, ‘it looks like you’re missing planning data’ or ‘you’re missing your spraying data.’ JD will also ask follow-up questions if you start a prompt and it’s not clear on the direction that you’re trying to go.”\nJD is safeguarded by the same security and tools that protect Operations Center. “We must continue to take data security very seriously,” said Jahmy Hindman, senior vice president and chief technology officer, John Deere. “We have dedicated cybersecurity teams around the world. They use secure-by-design practices, continuous testing, regular software updates and proactive monitoring to help safeguard our systems…We protect customer data with the same level of care and discipline that we apply to our own data.”\nJohn Deere stresses a “Farmer Data Commitment” based on ten principles, which boils down to the farmers’ data belongs to them, it remains under their control, and it should create value for their operation.\nJohn Deere opened an Early Access Program for JD on September 1st, allowing U.S.-based agriculture customers to participate and provide John Deere with additional feedback prior to general availability. The AI assistant will become more broadly available later this year. As JD evolves, John Deere plans to introduce capabilities tailored to turf, construction, roadbuilding and forestry customers as well.\n“We have options for supporting data from other systems and then allowing retrofitability of our core technology stack onto other equipment,” said Kevin Seidl, director of product, digital solutions, John Deere. “To use Operations Center, you don’t necessarily need to be a John Deere equipment customer. You can have equipment of any color and as long as you can get the data flowing in via a couple different mechanisms – some manual, some automated – you can use Operations Center and JD.”\nAI in action in Pro Service\nIn 2025, John Deere came out with Ask AI in its Operations Center Pro Service tool. The function is based on help documentation and operator manuals, leveraging the information within Pro Service.\n“This is what we would call a ‘manual agent’; it’s an enhanced AI-optimized manual search,” Kent Brown, manager for aftermarket marketing, said during a demo of Pro Service and Ask AI. “You don’t even really need to diagnose the trouble code, and you don’t need to be hooked up to it. You can be three hours away and pull this up on your phone or computer and see that machine has this code. In Ask AI, you can type in the code, type in the issue, and it’ll shoot out the things you need to go look for – here’s where they’re at in the manual, here’s where they’re at on the machine. At that point, you don’t necessarily have to be an expert. It really simplifies that message and gives you an easier place to start rather than ‘I don’t even know where to start.’”\nKelli Sullivan, group product manager, marketing automation and governance, said that Ask AI has been the most popular feature in Pro Service. “This has been really a game changer for a lot of our customers,” she said.\nAsk AI provides actual information from the manuals and step-by-step guidance to move through the diagnostic tree. “Right now, there’s no connection to maybe a Machine Health Insight or a collection of DTCs; it’s not going to give you ‘I think it’s this.’ But I can promise you, that’s where it’s heading,” Brown said.\nEventually, the Ask AI agent will report up to JD through orchestration layers, expanding its capabilities. “We’ve built some of these agentic foundational layers where they add value, but the ultimate architecture is to get it to one experience for customers in JD,” Brown said.","excerpt":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. 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JD is embedded in the John Deere Operations Center, a cloud-based centralized platform, allowing farmers to ask it questions instead of having to search across multiple dashboards or reports.\n“We just started to play around with the AI tool a little bit. My son asked it to build a harvest schedule based on what fields will harvest first – all the varieties are in there, the planting dates are in there – and then build a path to traverse that,” said Garrett, who is also the co-founder of XtremeAg, a collaborative network of “progressive farmers” that test new technologies, analyze real-world data and share insights to improve on-farm performance.\n“The way it spit that out, it was really cool to read that for the first time,” he continued. “So now I think about soil-borne diseases, things like that – put those soil test results in there, put the soil types into that Ops Center AI and have it help you pick what varieties should go where based on the characteristics of that variety. I think some of the yield losses that we didn’t know we were experiencing or understand why we were experiencing them, the AI will help us analyze that. And it doesn’t really cost any more money to do that, it’s just data management and data understanding. Adopting AI is the next round of technology that can make us more efficient.”\nHow JD works\nJD enables farmers to turn years of field, machine and operational data into practical insights that can create the opportunity to improve yields, drive savings and strengthen farm profitability, said Jackson Baca, group product marketing manager, John Deere.\n“This AI assistant is there to help you get more value from the data that already exists in your Operations Center account,” Baca said. “JD helps you get answers, discover insights and take actions based on your fields, on your machines. JD provides answers reflected on your data and not generic advice built from someone else’s.”\nFarmers can ask questions such as:\n- How did my fuel use during tillage this year compare with the last three years?\n- How did singulation compare across my fields, and what impact did it have on yield?\n- Which sprayer operator is covering the most acres per hour?\n- When is the optimal time to harvest based on historical trends?\nAt launch, JD will be available through Operations Center on web and mobile and in the Equipment Mobile App. In the future, JD will be integrated into the G5 display so operators can get answers and assistance in the cab. “We would like to create action. We would like JD to help you think through, ‘What’s the next step that I need to take?’ And not just think through it but actually take that action,” Baca said.\nCreating work plans is an area that can benefit from AI. “In the future, we’ll have JD create that work plan and send it to your operators,” Baca said. “At the end of the day, farmers aren’t managing data, they’re managing a business, working to feed the world.”\nJD will provide caveats if it determines that there’s incomplete data to offer an answer or guidance, Baca told SAE Media. “Some customers have decades of data that’s in their Operations Center and some customers are just getting started in that journey,” he said. “JD will say, for example, ‘it looks like you’re missing planning data’ or ‘you’re missing your spraying data.’ JD will also ask follow-up questions if you start a prompt and it’s not clear on the direction that you’re trying to go.”\nJD is safeguarded by the same security and tools that protect Operations Center. “We must continue to take data security very seriously,” said Jahmy Hindman, senior vice president and chief technology officer, John Deere. “We have dedicated cybersecurity teams around the world. They use secure-by-design practices, continuous testing, regular software updates and proactive monitoring to help safeguard our systems…We protect customer data with the same level of care and discipline that we apply to our own data.”\nJohn Deere stresses a “Farmer Data Commitment” based on ten principles, which boils down to the farmers’ data belongs to them, it remains under their control, and it should create value for their operation.\nJohn Deere opened an Early Access Program for JD on September 1st, allowing U.S.-based agriculture customers to participate and provide John Deere with additional feedback prior to general availability. The AI assistant will become more broadly available later this year. As JD evolves, John Deere plans to introduce capabilities tailored to turf, construction, roadbuilding and forestry customers as well.\n“We have options for supporting data from other systems and then allowing retrofitability of our core technology stack onto other equipment,” said Kevin Seidl, director of product, digital solutions, John Deere. “To use Operations Center, you don’t necessarily need to be a John Deere equipment customer. You can have equipment of any color and as long as you can get the data flowing in via a couple different mechanisms – some manual, some automated – you can use Operations Center and JD.”\nAI in action in Pro Service\nIn 2025, John Deere came out with Ask AI in its Operations Center Pro Service tool. The function is based on help documentation and operator manuals, leveraging the information within Pro Service.\n“This is what we would call a ‘manual agent’; it’s an enhanced AI-optimized manual search,” Kent Brown, manager for aftermarket marketing, said during a demo of Pro Service and Ask AI. “You don’t even really need to diagnose the trouble code, and you don’t need to be hooked up to it. You can be three hours away and pull this up on your phone or computer and see that machine has this code. In Ask AI, you can type in the code, type in the issue, and it’ll shoot out the things you need to go look for – here’s where they’re at in the manual, here’s where they’re at on the machine. At that point, you don’t necessarily have to be an expert. It really simplifies that message and gives you an easier place to start rather than ‘I don’t even know where to start.’”\nKelli Sullivan, group product manager, marketing automation and governance, said that Ask AI has been the most popular feature in Pro Service. “This has been really a game changer for a lot of our customers,” she said.\nAsk AI provides actual information from the manuals and step-by-step guidance to move through the diagnostic tree. “Right now, there’s no connection to maybe a Machine Health Insight or a collection of DTCs; it’s not going to give you ‘I think it’s this.’ But I can promise you, that’s where it’s heading,” Brown said.\nEventually, the Ask AI agent will report up to JD through orchestration layers, expanding its capabilities. “We’ve built some of these agentic foundational layers where they add value, but the ultimate architecture is to get it to one experience for customers in JD,” Brown said.","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 7544 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7544 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7544,"summary_length":282,"usable_text_length":7544,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7544,"summary_length":282}},"tags":[]},"fallback_formats":["markdown","json","html"],"actions":{"read":"/item/94838","export_markdown":"/api/items/94838/export?format=markdown","export_json":"/api/items/94838/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency"},"formats":{"full":{"id":94838,"title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","source":"Mobility Engineering Technology","author":null,"published_at":"2026-10-02T21:08:47+00:00","locale":"en","topic":"ai","tags":[],"excerpt":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. Key points\nWhat future digital capabilities are farmers most excited about?","full_text":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab.\nKey points\nWhat future digital capabilities are farmers most excited about?\n“AI,” Kelly Garrett, a sixth-generation farmer and owner of Garrett Land & Cattle in Arion, Iowa, flatly said during a John Deere press event at the Digital Ag Innovation Lab at Iowa State University prior to the Farm Progress Show.\nMoments later, John Deere announced the launch of JD, its AI assistant developed to help farmers to access and use their data more easily and efficiently. JD is embedded in the John Deere Operations Center, a cloud-based centralized platform, allowing farmers to ask it questions instead of having to search across multiple dashboards or reports.\n“We just started to play around with the AI tool a little bit. My son asked it to build a harvest schedule based on what fields will harvest first – all the varieties are in there, the planting dates are in there – and then build a path to traverse that,” said Garrett, who is also the co-founder of XtremeAg, a collaborative network of “progressive farmers” that test new technologies, analyze real-world data and share insights to improve on-farm performance.\n“The way it spit that out, it was really cool to read that for the first time,” he continued. “So now I think about soil-borne diseases, things like that – put those soil test results in there, put the soil types into that Ops Center AI and have it help you pick what varieties should go where based on the characteristics of that variety. I think some of the yield losses that we didn’t know we were experiencing or understand why we were experiencing them, the AI will help us analyze that. And it doesn’t really cost any more money to do that, it’s just data management and data understanding. Adopting AI is the next round of technology that can make us more efficient.”\nHow JD works\nJD enables farmers to turn years of field, machine and operational data into practical insights that can create the opportunity to improve yields, drive savings and strengthen farm profitability, said Jackson Baca, group product marketing manager, John Deere.\n“This AI assistant is there to help you get more value from the data that already exists in your Operations Center account,” Baca said. “JD helps you get answers, discover insights and take actions based on your fields, on your machines. JD provides answers reflected on your data and not generic advice built from someone else’s.”\nFarmers can ask questions such as:\n- How did my fuel use during tillage this year compare with the last three years?\n- How did singulation compare across my fields, and what impact did it have on yield?\n- Which sprayer operator is covering the most acres per hour?\n- When is the optimal time to harvest based on historical trends?\nAt launch, JD will be available through Operations Center on web and mobile and in the Equipment Mobile App. In the future, JD will be integrated into the G5 display so operators can get answers and assistance in the cab. “We would like to create action. We would like JD to help you think through, ‘What’s the next step that I need to take?’ And not just think through it but actually take that action,” Baca said.\nCreating work plans is an area that can benefit from AI. “In the future, we’ll have JD create that work plan and send it to your operators,” Baca said. “At the end of the day, farmers aren’t managing data, they’re managing a business, working to feed the world.”\nJD will provide caveats if it determines that there’s incomplete data to offer an answer or guidance, Baca told SAE Media. “Some customers have decades of data that’s in their Operations Center and some customers are just getting started in that journey,” he said. “JD will say, for example, ‘it looks like you’re missing planning data’ or ‘you’re missing your spraying data.’ JD will also ask follow-up questions if you start a prompt and it’s not clear on the direction that you’re trying to go.”\nJD is safeguarded by the same security and tools that protect Operations Center. “We must continue to take data security very seriously,” said Jahmy Hindman, senior vice president and chief technology officer, John Deere. “We have dedicated cybersecurity teams around the world. They use secure-by-design practices, continuous testing, regular software updates and proactive monitoring to help safeguard our systems…We protect customer data with the same level of care and discipline that we apply to our own data.”\nJohn Deere stresses a “Farmer Data Commitment” based on ten principles, which boils down to the farmers’ data belongs to them, it remains under their control, and it should create value for their operation.\nJohn Deere opened an Early Access Program for JD on September 1st, allowing U.S.-based agriculture customers to participate and provide John Deere with additional feedback prior to general availability. The AI assistant will become more broadly available later this year. As JD evolves, John Deere plans to introduce capabilities tailored to turf, construction, roadbuilding and forestry customers as well.\n“We have options for supporting data from other systems and then allowing retrofitability of our core technology stack onto other equipment,” said Kevin Seidl, director of product, digital solutions, John Deere. “To use Operations Center, you don’t necessarily need to be a John Deere equipment customer. You can have equipment of any color and as long as you can get the data flowing in via a couple different mechanisms – some manual, some automated – you can use Operations Center and JD.”\nAI in action in Pro Service\nIn 2025, John Deere came out with Ask AI in its Operations Center Pro Service tool. The function is based on help documentation and operator manuals, leveraging the information within Pro Service.\n“This is what we would call a ‘manual agent’; it’s an enhanced AI-optimized manual search,” Kent Brown, manager for aftermarket marketing, said during a demo of Pro Service and Ask AI. “You don’t even really need to diagnose the trouble code, and you don’t need to be hooked up to it. You can be three hours away and pull this up on your phone or computer and see that machine has this code. In Ask AI, you can type in the code, type in the issue, and it’ll shoot out the things you need to go look for – here’s where they’re at in the manual, here’s where they’re at on the machine. At that point, you don’t necessarily have to be an expert. It really simplifies that message and gives you an easier place to start rather than ‘I don’t even know where to start.’”\nKelli Sullivan, group product manager, marketing automation and governance, said that Ask AI has been the most popular feature in Pro Service. “This has been really a game changer for a lot of our customers,” she said.\nAsk AI provides actual information from the manuals and step-by-step guidance to move through the diagnostic tree. “Right now, there’s no connection to maybe a Machine Health Insight or a collection of DTCs; it’s not going to give you ‘I think it’s this.’ But I can promise you, that’s where it’s heading,” Brown said.\nEventually, the Ask AI agent will report up to JD through orchestration layers, expanding its capabilities. “We’ve built some of these agentic foundational layers where they add value, but the ultimate architecture is to get it to one experience for customers in JD,” Brown said.","reading_time_min":6,"extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 7544 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7544 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7544,"summary_length":282,"usable_text_length":7544,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7544,"summary_length":282}}},"quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7544 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7544,"summary_length":282,"usable_text_length":7544,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7544,"summary_length":282}},"actions":{"read":"/item/94838","export_markdown":"/api/items/94838/export?format=markdown","export_json":"/api/items/94838/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency"}},"digest":{"id":94838,"title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","source":"Mobility Engineering Technology","topic":"ai","published_at":"2026-10-02T21:08:47+00:00","excerpt":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency JD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. Key points What future digital capabilities are farmers most excited…","quality_bucket":"high","quality_reason":"High confidence: full text extraction produced 7544 characters.","reading_time_min":6,"cluster_id":null},"card":{"display_title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","subtitle":"Mobility Engineering Technology · 2026-10-02","summary":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency JD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. Key points…","badges":["quality:high"],"links":{"read":"/item/94838","original":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","diagnose":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency"},"quality_warning":null},"export":{"title":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency - Mobility Engineering Technology","url":"https://www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","summary":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab. Key points\nWhat future digital capabilities are farmers most excited about?","source":"Mobility Engineering Technology","date":"2026-10-02T21:08:47+00:00","content":"John Deere Launches AI Assistant to Enhance Farmers’ Efficiency\nJD is embedded in the John Deere Operations Center to provide farmers with practical insights and eventually will assist operators in the cab.\nKey points\nWhat future digital capabilities are farmers most excited about?\n“AI,” Kelly Garrett, a sixth-generation farmer and owner of Garrett Land & Cattle in Arion, Iowa, flatly said during a John Deere press event at the Digital Ag Innovation Lab at Iowa State University prior to the Farm Progress Show.\nMoments later, John Deere announced the launch of JD, its AI assistant developed to help farmers to access and use their data more easily and efficiently. JD is embedded in the John Deere Operations Center, a cloud-based centralized platform, allowing farmers to ask it questions instead of having to search across multiple dashboards or reports.\n“We just started to play around with the AI tool a little bit. My son asked it to build a harvest schedule based on what fields will harvest first – all the varieties are in there, the planting dates are in there – and then build a path to traverse that,” said Garrett, who is also the co-founder of XtremeAg, a collaborative network of “progressive farmers” that test new technologies, analyze real-world data and share insights to improve on-farm performance.\n“The way it spit that out, it was really cool to read that for the first time,” he continued. “So now I think about soil-borne diseases, things like that – put those soil test results in there, put the soil types into that Ops Center AI and have it help you pick what varieties should go where based on the characteristics of that variety. I think some of the yield losses that we didn’t know we were experiencing or understand why we were experiencing them, the AI will help us analyze that. And it doesn’t really cost any more money to do that, it’s just data management and data understanding. Adopting AI is the next round of technology that can make us more efficient.”\nHow JD works\nJD enables farmers to turn years of field, machine and operational data into practical insights that can create the opportunity to improve yields, drive savings and strengthen farm profitability, said Jackson Baca, group product marketing manager, John Deere.\n“This AI assistant is there to help you get more value from the data that already exists in your Operations Center account,” Baca said. “JD helps you get answers, discover insights and take actions based on your fields, on your machines. JD provides answers reflected on your data and not generic advice built from someone else’s.”\nFarmers can ask questions such as:\n- How did my fuel use during tillage this year compare with the last three years?\n- How did singulation compare across my fields, and what impact did it have on yield?\n- Which sprayer operator is covering the most acres per hour?\n- When is the optimal time to harvest based on historical trends?\nAt launch, JD will be available through Operations Center on web and mobile and in the Equipment Mobile App. In the future, JD will be integrated into the G5 display so operators can get answers and assistance in the cab. “We would like to create action. We would like JD to help you think through, ‘What’s the next step that I need to take?’ And not just think through it but actually take that action,” Baca said.\nCreating work plans is an area that can benefit from AI. “In the future, we’ll have JD create that work plan and send it to your operators,” Baca said. “At the end of the day, farmers aren’t managing data, they’re managing a business, working to feed the world.”\nJD will provide caveats if it determines that there’s incomplete data to offer an answer or guidance, Baca told SAE Media. “Some customers have decades of data that’s in their Operations Center and some customers are just getting started in that journey,” he said. “JD will say, for example, ‘it looks like you’re missing planning data’ or ‘you’re missing your spraying data.’ JD will also ask follow-up questions if you start a prompt and it’s not clear on the direction that you’re trying to go.”\nJD is safeguarded by the same security and tools that protect Operations Center. “We must continue to take data security very seriously,” said Jahmy Hindman, senior vice president and chief technology officer, John Deere. “We have dedicated cybersecurity teams around the world. They use secure-by-design practices, continuous testing, regular software updates and proactive monitoring to help safeguard our systems…We protect customer data with the same level of care and discipline that we apply to our own data.”\nJohn Deere stresses a “Farmer Data Commitment” based on ten principles, which boils down to the farmers’ data belongs to them, it remains under their control, and it should create value for their operation.\nJohn Deere opened an Early Access Program for JD on September 1st, allowing U.S.-based agriculture customers to participate and provide John Deere with additional feedback prior to general availability. The AI assistant will become more broadly available later this year. As JD evolves, John Deere plans to introduce capabilities tailored to turf, construction, roadbuilding and forestry customers as well.\n“We have options for supporting data from other systems and then allowing retrofitability of our core technology stack onto other equipment,” said Kevin Seidl, director of product, digital solutions, John Deere. “To use Operations Center, you don’t necessarily need to be a John Deere equipment customer. You can have equipment of any color and as long as you can get the data flowing in via a couple different mechanisms – some manual, some automated – you can use Operations Center and JD.”\nAI in action in Pro Service\nIn 2025, John Deere came out with Ask AI in its Operations Center Pro Service tool. The function is based on help documentation and operator manuals, leveraging the information within Pro Service.\n“This is what we would call a ‘manual agent’; it’s an enhanced AI-optimized manual search,” Kent Brown, manager for aftermarket marketing, said during a demo of Pro Service and Ask AI. “You don’t even really need to diagnose the trouble code, and you don’t need to be hooked up to it. You can be three hours away and pull this up on your phone or computer and see that machine has this code. In Ask AI, you can type in the code, type in the issue, and it’ll shoot out the things you need to go look for – here’s where they’re at in the manual, here’s where they’re at on the machine. At that point, you don’t necessarily have to be an expert. It really simplifies that message and gives you an easier place to start rather than ‘I don’t even know where to start.’”\nKelli Sullivan, group product manager, marketing automation and governance, said that Ask AI has been the most popular feature in Pro Service. “This has been really a game changer for a lot of our customers,” she said.\nAsk AI provides actual information from the manuals and step-by-step guidance to move through the diagnostic tree. “Right now, there’s no connection to maybe a Machine Health Insight or a collection of DTCs; it’s not going to give you ‘I think it’s this.’ But I can promise you, that’s where it’s heading,” Brown said.\nEventually, the Ask AI agent will report up to JD through orchestration layers, expanding its capabilities. “We’ve built some of these agentic foundational layers where they add value, but the ultimate architecture is to get it to one experience for customers in JD,” Brown said.","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.mobilityengineeringtech.com/component/content/article/56018-john-deere-launches-ai-assistant-to-enhance-farmers-efficiency","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 7544 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7544 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7544,"summary_length":282,"usable_text_length":7544,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7544,"summary_length":282}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}