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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.…mehr

Produktbeschreibung
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.
Autorenporträt
Dr. NAGAMANI H .S Received MS in Computer Systems from the University of Mysore. M.Phil in Computer Science and Engineering from Annamalai University, TN. Ph.D in Computer Science from University of Mysore. Presently working as Associate Professor in the Department of Computer Science, Smt VHD Central Institute Of Home Science Bengaluru, India.