Introduction
Growing Smarter with Deep Learning: AI Solutions for Plant Health explores the transformative role of artificial intelligence in modern agriculture, covering smart crop production, plant and soil health, disease diagnosis, UAV applications, surveillance and sustainable farming. It examines machine learning, deep learning, computer vision, YOLO-NAS, and hyperspectral imaging, offering researchers, students, agricultural scientists, agronomists and practitioners valuable insights into precision, intelligent and data-driven agricultural systems.
Key Features
- - Multidisciplinary coverage of AI-enabled agriculture.
- - Contemporary deep learning and computer vision techniques.
- - UAV-based agricultural applications and surveillance.
- - Soil and plant health assessment, disease detection.
- - Hyperspectral image analysis for precision farming.
Target Readership :
Researchers, academicians, postgraduate and doctoral students, agricultural scientists, AI/ML professionals, agronomists, technology developers and policymakers engaged in precision and sustainable agriculture.