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Deere acquires Blue River TechnologyDeere & Company has signed a definitive agreement to acquire Blue River Technology, which applies machine learning to agriculture.
"We welcome the opportunity to work with a Blue River Technology team that is highly skilled and intensely dedicated to rapidly advancing the implementation of machine learning in agriculture," said John May, President, Agricultural Solutions, and Chief Information Officer at Deere. "As a leader in precision agriculture, John Deere recognizes the importance of technology to our customers. Machine learning is an important capability for Deere's future."
Blue River Technology has successfully applied machine learning to agricultural spraying equipment and Deere is confident that similar technology can be used in the future on a wider range of products, May said.
Blue River has designed and integrated computer vision and machine learning technology that will enable growers to reduce the use of herbicides by spraying only where weeds are present, optimizing the use of inputs in farming – a key objective of precision agriculture.
"Blue River is advancing precision agriculture by moving farm management decisions from the field level to the plant level," said Jorge Heraud, co-founder and CEO of Blue River Technology. "We are using computer vision, robotics, and machine learning to help smart machines detect, identify, and make management decisions about every single plant in the field."
Already in 2017, Blue River Technology has been listed among Inc. Magazine's 25 Most Disruptive Companies, Fast Company's Most Innovative Companies, CB Insights 100 Most Promising Artificial Intelligence Companies in the World, and the Top 50 Agricultural Innovations by the American Society of Agricultural and Biological Engineers.
Deere said it will invest $305 million to fully acquire Blue River Technology. Deere plans to have the 60-person firm remain in Sunnyvale with an objective to continue its rapid growth and innovation. The transaction is expected to close in September.
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Publication date: 9/8/2017
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