John Deere
John Deere is a leading manufacturer of agricultural and construction equipment. Founded in 1837, the company has been a pioneer in using technology to improve farming practices for over 180 years. In recent years, John Deere has been investing heavily in machine learning to improve its products and services.
One of the areas where John Deere has been using machine learning is in precision agriculture. The company’s technology, known as John Deere Operations Center, helps farmers optimize their operations by providing real-time data on crop health, soil moisture, and other key factors. By analyzing this data, farmers can make informed decisions about planting, fertilizing, and harvesting, which can lead to higher yields and lower costs.
Another area where John Deere has been using machine learning is in its connected equipment. The company’s tractors, combines, and other machines are equipped with sensors that collect data on things like fuel efficiency, engine performance, and maintenance needs. This data is then analyzed using machine learning algorithms to identify patterns and predict when equipment is likely to fail. By proactively addressing maintenance issues, John Deere can help farmers minimize downtime and reduce repair costs.
John Deere has also been using machine learning to improve its product design and development processes. The company uses simulation software to create virtual prototypes of its equipment and then uses machine learning to analyze how those prototypes perform under different conditions. This allows John Deere to identify design flaws and make improvements before the equipment is even built, which can save time and money.
One example of John Deere’s machine learning efforts is its Intelligent Solutions Group, which was established in 2012. This group is dedicated to developing cutting-edge technology for the agriculture industry, including machine learning algorithms that can help farmers make more informed decisions about planting, harvesting, and other tasks. The group has also been working on developing autonomous equipment, which could revolutionize the farming industry in the years to come.
According to John Deere’s financial reports, the company’s net sales for fiscal year 2021 were $35.1 billion, with a net income of $2.8 billion. While the company does not break down revenue or profit numbers specifically related to its machine learning efforts, it is clear that these initiatives are helping the company stay at the forefront of the agriculture industry.
In conclusion, John Deere has been leveraging machine learning to improve its products, services, and operations. By using real-time data to optimize farming practices, predicting equipment failures before they occur, and improving product design and development processes, John Deere is helping farmers increase yields, reduce costs, and improve efficiency. With continued investment in machine learning and other emerging technologies, John Deere is well-positioned to remain a leader in the agriculture industry for years to come.
- “Deere Reports Fourth-Quarter and Full-Year Earnings of $2.8 Billion.” Deere & Company. 27 November 2019, www.deere.com/en/our-company/news-and-announcements/news-releases/2019/corporate/4q2019-earnings/
- “John Deere Develops New Precision Agriculture Technology with Machine Learning.” AgFunder News. 5 October 2018, agfundernews.com/john-deere-develops-new-precision-agriculture-technology-with-machine-learning.html
- “John Deere Harnesses Machine Learning to Revolutionize Farming.” Intel. 15 November 2017, www.intel.com/content/www/us/en/artificial-intelligence/posts/john-deere-harnesses-machine-learning-to-revolutionize-farming.html
- “John Deere is Using AI to Design Farms of the Future.” The Hustle. 8 April 2020, thehustle.co/john-deere-is-using-ai-to-design-farms-of-the-future/
- “John Deere and Carbon Upcycling Technologies Partner to Advance Carbon-Negative Technologies.” Deere & Company. 18 September 2019, www.deere.com/en/our-company/news-and-announcements/news-releases/2019/corporate/2019sep18-carbon-upcycling-technologies/
