AI @ Deere & Co.
Summary
- John Deere has progressively embedded advanced AI technologies such as computer vision, machine learning, and autonomous systems into its agricultural machinery and operations from 2018 through 2025. Key products include 'See & Spray' technology that uses AI to identify and treat weeds precisely, reducing herbicide use by up to two-thirds and improving crop health.
- Under the leadership of CTO Jahmy Hindman since at least 2025, Deere accelerated investment in AI with $300 million committed, incorporating edge computing and 5G-enabled industrial AI to connect 1.5 million machines via satellite, enabling real-time autonomous farming solutions. These AI advancements have positioned Deere as a global leader in AI-powered precision agriculture, boosting operational efficiency and farming yields significantly.
- John Deere's AI-driven transformation has led to tangible business outcomes including substantial labor savings addressing agricultural workforce shortages, reduction in chemical costs, enhanced crop quality and yield, and a predicted 50% stock growth fueled by its AI innovations, with a strategic vision toward a fully autonomous farm by 2030.
VIBE METER
5 AI Use Cases at Deere & Co.
Factory Optimization2025
Weed Control2025Customer Facing
Labor Shortages2025Customer Facing
Autonomous Farming2025Customer Facing
Crop Yield Optimization2021Customer Facing
Timeline
2026 Q1: no updates
2025 Q4
Deere evolves from equipment maker to AI-driven agriculture leader by implementing private 5G networks, industrial AI for predictive maintenance, autonomous operations, and digital twins for factory productivity.
2025 Q3
CTO Jahmy Hindman leads Deere’s AI push integrating 36 cameras and machine learning to boost crop yields and reduce chemical usage; plans to connect 1.5 million machines via satellite for real-time farming operations.
2025 Q2
AI solutions address farm labor shortages, expand deployment of 'See & Spray' technology, highlighting enhanced farm productivity and resource optimization.
2025 Q1
Introduction of second-generation autonomy kit featuring advanced computer vision and AI capabilities to enhance autonomous farming machinery performance, building on CES 2022 debut.
2024 Q4
John Deere develops generative AI-based database solutions to streamline data access, supporting enhanced analytics and operating efficiencies.
2024 Q3
Major $300 million AI and machine learning investment announced; collaboration with NVIDIA to boost edge computing power embedded in farm machinery; expanded 'See & Spray' adoption.
2024 Q2: no updates
2024 Q1
John Deere leverages AI to address labor shortages with robotic and autonomous solutions and reduces herbicide application through precise AI-driven techniques.
2023 Q4
John Deere prepares for a fully autonomous farm by 2030, leveraging computer vision and machine learning to help farmers tackle global challenges such as population growth.
2023 Q3
The firm advanced AI-embedded farm machines along with flagship products like 'See & Spray' that precisely targets weeds to reduce herbicide use.
2023 Q2
Deere applies AI and automation extensively to analyze data for insights helping farmers make better decisions and uses 'See & Spray' to optimize weed control.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
John Deere emerges as one of the largest AI firms globally, debuts a fully autonomous tractor at CES 2022, combining automation and autonomy AI approaches.
2022 Q1: no updates
2021 Q4: no updates
2021 Q3
Machine learning applied to analyze grain quality allowing automatic adjustment of machine parameters, demonstrating AI's role in precision agriculture.
2021 Q2
Substantial investments in AI made, resulting in cultural shifts within Deere and transformation of farming with AI automation and computer vision.
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2
Deere solidified its position with cutting-edge application of AI, machine learning, and computer vision in agriculture technology.
2020 Q1: no updates
2019 Q4
John Deere unveils its 'Farm Forward' campaign from 2013 vision, pushing AI deployment in all machines aiming for an autonomous farm ecosystem.
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3: no updates
2018 Q2: no updates
2018 Q1
Introduction of 'See and Spray' technology employing machine learning to identify weeds and remove them in real time, marking Deere's initial AI application in precision agriculture.