可追溯性
农业
物联网
牲畜
大数据
粮食安全
新兴技术
块链
精准农业
计算机科学
计算机安全
畜牧业
钥匙(锁)
业务
数据科学
工程类
人类福利
产量(工程)
动物福利
出处
期刊:BENTHAM SCIENCE PUBLISHERS eBooks
[BENTHAM SCIENCE PUBLISHERS]
日期:2026-01-14
标识
DOI:10.2174/97988988119211260101
摘要
<div>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.</div><div><br></div><div>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.</div><div><br></div><div> Key Features</div><div>-Detect crop diseases using deep learning and ensemble models</div><div><br></div><div><br></div><div>-Optimise yield prediction using big data analytics</div><div><br></div><div><br></div><div>-Empower livestock monitoring using IoT sensors</div><div><br></div><div><br></div><div>-Strengthen animal welfare with smart husbandry systems</div><div><br></div><div><br></div><div>-Enable farm traceability using blockchain networks</div><div><br></div><div><br></div><div>-Secure agricultural IoT systems with AI-based cybersecurity</div><div><br></div><div><br></div><div>-Improve precision farming using device-to-device communication</div>
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