Large scale agriculture players are already using AI technology to significantly improve the speed
By technology, the computer vision segment is projected to register the highest CAGR during the forecast period. This high growth rate is attributed to the increasing use of computer vision technology for agriculture applications, such as plant image recognition, and the rising demand for continuous crop health monitoring and analysis.
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By offering, the AI-as-a-Service segment is projected to register the highest CAGR during the forecast period. Increasing demand for machine learning tool kits and applications that are available in AI-based services along with the benefits, such as advanced infrastructure at minimal cost, transparency in business operations, and better scalability, is leading to the growth of the AI-as-a-Service segment.
By application, the drone analytics segment is projected to register the highest CAGR during the forecast period owing to its extensive use in diagnosing and mapping crop health and making real-time decisions. Favorable government mandates for the use of drones in agriculture are also expected to fuel the growth of the AI in agriculture market in the drone analytics application segment.
By region, the AI in agriculture market in Asia Pacific (APAC) is projected to witness the highest CAGR during the forecast period. China, Japan, and India are some of the countries driving the market in APAC. The increasing adoption of deep learning and computer vision technologies for agriculture applications is a major driving factor for the market in the APAC region.
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In the Americas, large scale agriculture players are already using AI technology to significantly improve the speed and accuracy of their planting and crop management techniques. Raizen, Brazil's leading sugar and ethanol producer, recently announced a partnership with Space Time Analytics (Brazil) to use AI to forecast the size of sugarcane harvests.
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