Rudy Lai

AI @ Deere & Co.

Agricultural and construction equipment
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • John Deere has progressively integrated AI and machine learning since at least 2018, pioneering technologies like 'See & Spray' for precision weed control and autonomous tractors, evolving towards a fully autonomous farm vision by 2030.
  • Under CTO Jahmy Hindman’s leadership from at least 2025, Deere significantly accelerated AI adoption, leveraging advanced computer vision, edge computing with NVIDIA GPUs, private 5G networks, and satellite connectivity to enable real-time operations and reduce chemical use by up to two-thirds, driving strong ROI and stock growth.
  • By early 2026, Deere is recognized as a global AI powerhouse in agriculture, focusing on precision farming, autonomous machinery, and ecosystem integration, solving challenges like labor shortages, improving crop yields, and transforming farm operations with AI-enabled products and collaborations.

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5 AI Use Cases at Deere & Co.

Labor Shortage Mitigation
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Costs
AI-driven robotics and autonomous solutions help address agricultural labor shortages by enabling machines to perform labor-intensive tasks, thus maintaining farm productivity. [1][2]
Data-Driven Insights
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Machine learning algorithms analyze aggregated farm data to provide farmers with actionable recommendations that optimize planting schedules, input usage, and crop protection strategies. [1][2]
Autonomous Operation
2022
Customer Facing
Traditional
Generative
Agentic
Outcome
Costs
Deere develops and deploys autonomous tractors and farm equipment equipped with AI-powered sensors and computer vision to enable self-driving, autonomous fieldwork and real-time adaptation to environments. [1][2]
Crop Quality Analysis
2021
Traditional
Generative
Agentic
Outcome
Revenue
AI and machine learning systems analyze grain and crop quality during harvesting, adjusting machinery parameters automatically to reduce damage and improve yield outcomes. [1]
Weed Detection
2018
Customer Facing
Traditional
Generative
Agentic
Outcome
Costs
John Deere uses AI and computer vision in its 'See & Spray' technology to precisely identify and target weeds during field passes, enabling reduced herbicide use and increased crop health. [1][2]

Timeline

2026 Q2: no updates

2026 Q1

1 updates

John Deere's AI innovation praised for transforming agriculture and offering lessons to other industries; stock rises nearly 30% in 2026 amid strategic AI focus.

2025 Q4

1 updates

Deere leads with 5G connectivity, industrial AI, digital twins, and data analytics in manufacturing and farming; AI guides autonomous operations and advanced decision support.

2025 Q3

1 updates

CTO Jahmy Hindman leads AI strategy focusing on reducing herbicides by two-thirds, connecting 1.5 million machines via satellite for real-time operations and driving strong ROI.

2025 Q2

1 updates

John Deere leverages AI to alleviate farm labor shortages and increase productivity; 'See & Spray' adoption grows, enabling precise herbicide application.

2025 Q1

1 updates

Revealed second-generation autonomy kits combining advanced computer vision and AI for greater machine autonomy and efficiency.

2024 Q4

1 updates

Deere integrates generative AI to enhance database access and analytical capabilities, strengthening innovation pipelines.

2024 Q3

1 updates

Deere invests $300 million in AI and machine learning; partnership with NVIDIA to enhance edge computing power for autonomous agriculture systems.

2024 Q2: no updates

2024 Q1

1 updates

AI solutions deployed to reduce herbicide usage by precise weed targeting; robotic and AI technologies address labor shortages in agriculture.

2023 Q4

1 updates

Preparations for fully autonomous farming by 2030 accelerated; emphasis on computer vision and machine learning to address rising agricultural challenges.

2023 Q3

1 updates

Deere's AI seeding machine uses computer vision to detect and eliminate weeds with precision lasers, demonstrating expanded AI field applications.

2023 Q2

1 updates

AI and machine learning used extensively to provide farmers with actionable insights and embed precision agriculture capabilities into farm machines.

2023 Q1: no updates

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

1 updates

John Deere launched a fully autonomous tractor at CES 2022; emphasized AI's dual role in automation and autonomy in machines for superhuman farming.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3

1 updates

Machine learning applied to analyze grain quality and automate machine parameter adjustments to reduce damage during harvesting.

2021 Q2

1 updates

Major investments into AI adoption reshaped corporate culture; Deere commits hundreds of millions of dollars to AI transformation.

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2

1 updates

Continuing leadership in AI, ML and computer vision applications positioned John Deere to capitalize on technological advancements, reinforcing its role in agtech innovation.

2020 Q1: no updates

2019 Q4

1 updates

John Deere unveiled its 'Farm Forward' campaign focused on deploying AI in machines to build 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

1 updates

Introduction of 'See & Spray' technology using machine learning to identify weeds in real-time for precision spraying.