AI in Agriculture Market

Market Leader - AI in Agriculture Market

The AI in agriculture market is expected to be valued at USD 2,628.5 Million by 2025, growing at a CAGR of 22.5% between 2017 and 2025. The factors supporting the growth of AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. Machine learning-enabled solutions are being significantly adopted by agricultural organizations and farmers to enhance farm productivity and to gain a competitive edge in business operations. Moreover, in the coming years, the application of machine learning and computer vision in various agricultural practices is expected to rise exponentially.

John Deere is one of the leading players in providing efficient agricultural solutions to farmers. The company’s products help farmers increase production sustainability by developing driverless tractors and sensors that provide real-time data. It uses machine learning and computer vision technologies for herbicide spraying, targeting only the weed-infected portion of a farm. The technology can minimize both waste and the amount of inputs needed while spraying, saving farmers’ efforts and money in the process. The company’s innovative precision technology-based solutions include autonomous lawn movers, autonomous tractors, autonomous harvesters, and precision agriculture technology; it provides AI-powered solutions in the agricultural market. The company has a strong brand name and has a well-established distribution network, which makes it a leading market player. The company focuses on acquisitions and collaborations as its key business strategies for growth. For instance, in September 2017, John Deere acquired Blue River Technology, an artificial intelligence start-up. Blue River Technology develops cutting-edge machine vision tools that help farmers scan fields and assess crops.

 The Climate Corporation is a digital agriculture company that examine weather, soil, and field data to help farmers to improve farming operations and crop productivity. The company offers the climate field view platform, which helps farmers in increasing productivity with digital tools. The company is engaged in collecting and analyzing field data, measuring crop performance, and monitors nitrogen content in soil. The product portfolio of The Climate Corporation aims to help farmers around the world to protect and improve their farming operations, with the use of uniquely powerful software and hardware products. The company’s innovative product portfolio includes Field View Platform, Climate Field View Prime, Climate Field View Plus, and Climate Field View Pro Mobile SaaS solutions. These innovative products help farmers in increasing profitability by enabling better informed operating decisions. The company’s unique technologies help the global agricultural industry to stabilize and improve crop productivity. The company is recognized for its expertise in agronomy to understand how climate variability affects different crops.

The Climate Corporation has adopted partnerships and product launches as its key strategies to grow in the market. For instance, in March 2017, the company partnered with TerrAvion (Israel) to deliver high-resolution imagery to farmers. Similarly, in March 2017, the company partnered with Ceres Imaging (US) to provide farmers a broad and interconnected set of tools, services, and data in a single, easy-to-use interface to optimize their farm management decisions.

Related Reports:

AI in Agriculture Market by Technology (Machine Learning, Computer Vision, Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring), Offering, and Geography - Global Forecast to 2025

Mr. Rohan
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Report Code
SE 5832
Published ON
Dec, 2017
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