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The global artificial intelligence in agriculture market size is expected to reach USD 7,320 million by 2030. AI in Agriculture involves the application of AI techniques, such as Machine Learning, Deep Learning, computer vision, Natural Language Processing (NLP), and robotics, to collect, analyze, and interpret data related to agriculture. AI in Agriculture enables farmers and agricultural stakeholders to make informed decisions, optimize resource utilization, and address agronomic challenges more effectively. North America is expected to capture the largest market share over the forecast period due to its adoption of precision farming practices and government initiatives.
