Agriculture is rapidly evolving with smart technologies that make farming more efficient, secure, and sustainable.

Smart Technologies for Next-Generation Agriculture breaks down how Deep Learning, IoT, and Blockchain are revolutionising crop care, livestock husbandry, yield prediction, and farm security through applied research and real-world use cases. The book also highlights challenges like data safety, environmental risks, and ethical concerns while exploring emerging frontiers such as nanotechnology and AI-driven disease detection in key crops.

Key Features

• Detect crop diseases using deep learning and ensemble models
• Optimise yield prediction using big data analytics
• Empower livestock monitoring using IoT sensors
• Strengthen animal welfare with smart husbandry systems
• Enable farm traceability using blockchain networks
• Secure agricultural IoT systems with AI-based cybersecurity
• Improve precision farming using device-to-device communication

Target Readership

Researchers, agriculture technologists, and farm innovators; also valuable for postgraduate students and policymakers exploring sustainable digital agriculture solutions.