Intelligent Technologies for Smart Precision Agriculture and Livestock Management

The book series Intelligent Technologies for Smart Precision Agriculture and Livestock Management is conceived as a comprehensive platform for addressing the growing challenges of crop, plant, and livestock disease detection, monitoring, and management in modern agricultural systems. This series aligns well in addressing one of the most demanding global challenges—sustainable agricultural health and food security. The series focuses on the application of computational intelligence techniques—including machine learning, deep learning, bio-inspired algorithms, computer vision, remote sensing, generative AI, and intelligent decision-support systems—to enable early identification, accurate diagnosis and effective control of diseases affecting agricultural crops, plantations and livestock populations.

With a strong emphasis on sustainability, scalability, and field-level deployment, the series bridges theoretical research with real-world agricultural practices. It highlights advances in plant disease image analysis, precision agriculture, smart farming systems, climate-aware disease forecasting, explainable AI for plant and animal health analytics, and AI-driven pest and disease management strategies. By bringing together interdisciplinary contributions from academia, industry, and agricultural research institutions, each volume aims to support resilient agro-ecosystems, reduce dependency on chemical treatments and antibiotics, improve productivity and animal welfare, and promote environmentally responsible and sustainable farming practices.