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

View at publisher
Cited by: 2

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

Fields of Study & Subjects

Smart Agriculture and AI Food Supply Chain Traceability Agriculture Water and Health

Publication details

Journal / source
BENTHAM SCIENCE PUBLISHERS eBooks
Publisher
BENTHAM SCIENCE PUBLISHERS
Publication date
14 January 2026
Document type
Book