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.
