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Advanced Techniques in Plant Health Detection: Leveraging Artificial Intelligence and Machine Learning explores cutting-edge methods for monitoring and diagnosing plant health using AI and ML technologies. The text delves into how these techniques enhance early detection of diseases, pests, and stressors in crops, enabling proactive measures for crop protection and yield optimization. By harnessing AI and ML algorithms, agricultural stakeholders can improve efficiency, accuracy, and sustainability in plant health management, thereby contributing to global food security and agricultural resilience.
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Advanced Techniques in Plant Health Detection: Leveraging Artificial Intelligence and Machine Learning explores cutting-edge methods for monitoring and diagnosing plant health using AI and ML technologies. The text delves into how these techniques enhance early detection of diseases, pests, and stressors in crops, enabling proactive measures for crop protection and yield optimization. By harnessing AI and ML algorithms, agricultural stakeholders can improve efficiency, accuracy, and sustainability in plant health management, thereby contributing to global food security and agricultural resilience.