Smart Technologies for Transforming Next-Generation Agriculture: Deep Learning, IoT and Blockchain
Abstract
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
