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How Are AI-Powered Smart Sensors Improving Agricultural Practices?

AI is being used in the agriculture sector to monitor the livestock in real-time. The utilization of AI solutions, such as facial recognition and image classification integrated with feeding patterns and condition score, enables dairy farms to individually monitor all the behavioral aspects of a herd. Moreover, farmers are using machine vision to recognize facial features and hide patterns, record the behavior and body temperature, and monitor the food and water intake of the livestock.

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North America witnesses large-scale deployment of the AI technology in agricultural activities owing to the early adoption of computer vision and machine learning (ML) for soil management, precision farming, greenhouse management, and livestock management. Moreover, the increasing adoption of the internet of things (IoT) technology bolstered with computer vision will promote the application of AI solutions by the farming community.

Besides, the existence of numerous technology vendors and sensor manufacturers in the region promotes the usage of the AI technologies in the agricultural space. Furthermore, the Asia-Pacific (APAC) region is expected to adopt AI-enabled agricultural solutions at the fastest pace in the coming years. The high adoption rate of AI in China, Australia, India, and Japan will contribute significantly to the APAC AI in agriculture market in the future.

Moreover, the entry of the Alibaba Group in the agricultural solution business, with its AI technology, will increase the penetration of these solutions in the Chinese agricultural industry. Additionally, India is utilizing such solutions due to the escalating effort by multinational companies (MNCs) and the government to spread awareness regarding data sciences and farm analytics among farmers. 

Thus, the growing need to increase the crop yield and improve livestock management will fuel the adoption of AI-enabled solutions in the agricultural space.

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