AI @ Deere & Co.
Summary
- John Deere has demonstrated consistent and increasing adoption of AI technologies from 2018 through mid-2025, evolving from early machine learning applications like the 'see and spray' weed detection system to fully autonomous tractors and integrated farm ecosystems.
- Notable leaders such as Justin Rose have spearheaded Deere's AI innovation, with substantial investments including a $300 million infusion into AI and machine learning capabilities by 2024, coupled with partnerships involving key tech companies such as NVIDIA to enhance edge computing and AI performance.
- The company's AI initiatives strongly focus on addressing critical agricultural challenges such as labor shortages, herbicide reduction, precision farming, and yield improvement, driving revenue growth and operational efficiency with a path toward fully autonomous farming envisioned by 2030.
VIBE METER
5 AI Use Cases at Deere & Co.
Weed Detection2025Customer Facing
Labor Optimization2025Customer Facing
Data Access2024
Autonomous Farming2023Customer Facing
Precision Adjustment2021
Timeline
2025 Q4: no updates
2025 Q3
John Deere's AI strategy emphasizes dominance through smart machinery, proprietary data, and an integrated farm ecosystem maintaining strong leadership.
2025 Q2
Scaling AI innovation to address farm labor shortages, help farmers manage operations, and increase adoption of see & spray systems among growers.
2025 Q1: no updates
2024 Q4
Deployment of generative AI technologies to improve database access and operational efficiencies in farm management.
2024 Q3
Investment of $300M in AI and machine learning through acquisition of Blue River, enhancing computer vision to reduce herbicide use; partnership with NVIDIA to expand edge computing capabilities.
2024 Q2: no updates
2024 Q1
AI-driven approaches to weed control without excess herbicide; robotic and AI solutions to address labor shortages and modernize farming.
2023 Q4
Strategic investments in AI focusing on fully autonomous farms by 2030 with computer vision and machine learning aiding critical farming challenges.
2023 Q3
AI-powered seeding machine detects and destroys weeds with laser technology; ongoing integration of AI and automation.
2023 Q2
Use of AI algorithms and machine learning to provide farmers with actionable insights; embedding AI into farm machines to solve farming problems.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
Launch of fully autonomous tractors at CES 2022; Deere becomes a major AI company combining automation and autonomy.
2022 Q1: no updates
2021 Q4: no updates
2021 Q3
Use of machine learning to analyze grain quality and automatically adjust machine parameters to reduce crop damage.
2021 Q2
Investment of hundreds of millions in AI and cultural shift to embed AI deeply into corporate strategy.
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2
Recognition of Deere's advancement in AI, ML, and computer vision applications in agriculture, positioning for profitability.
2020 Q1: no updates
2019 Q4
Unveiling of 'Farm Forward' campaign focusing on deploying AI across all machines to develop autonomous farming capabilities.
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 using machine learning for real-time weed identification and treatment.