AI and Machine Learning for Detecting Turmeric Leaf Diseases

This book explores the application of machine learning (ML) and artificial intelligence (AI) techniques for detecting, diagnosing and classifying diseases in turmeric leaves. It offers a detailed exploration of image processing, feature extraction and ML models applied in precision agriculture to enhance turmeric crop health. This book serves as a valuable resource for researchers, agronomists and AI practitioners looking to implement machine learning solutions in turmeric farming. It bridges the gap between agriculture and AI-driven automation, enhancing crop monitoring and early disease detection.

Autorentext

Dr. V. Pream Sudha, Professor & HoD (i/c) of Computer Science with Data Analytics at Dr. NGP Arts and Science College, specializes in Machine Learning, Big Data Analytics.Dr. K. Sathiyakumari is an Associate Professor in the Department of Computer Science at PSGR Krishnammal College for Women, specializes in Data Mining and Social Network Mining.