Overview

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.

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