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AI in Agriculture Market on Track for Sustained Growth by 2033
AI in agriculture involves the use of machine learning, computer vision, predictive analytics, drones, robotics, and data-driven decision support systems to monitor crops, predict yields, detect diseases, automate irrigation, and manage livestock. These technologies help address challenges such as climate change, labor shortages, and the need to feed a growing global population. The global...
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