Deep Learning Methods for Intelligent Agricultural Systems

This book explores the application of deep learning technologies in intelligent agricultural systems. The work discusses how artificial intelligence and computer vision can be used for automated monitoring, animal identification, and decision support in modern farming environments.

The book includes theoretical explanations of neural network models as well as practical case studies related to livestock monitoring and biometric identification systems. It highlights the role of intelligent technologies in improving productivity and efficiency in agricultural management.