AI is increasingly being used in agriculture to improve efficiency, reduce resource use, and support decision-making. Applications include precision crop monitoring, automated harvesting, yield prediction, and pest detection. Machine learning models help analyze weather patterns, soil conditions, and plant health, while robotics and computer vision enable more precise farming operations.
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