株式会社極東書店トップ商品一覧AI and Data Analytics in Precision Agriculture for Sustainable Development.

商品詳細

AI and Data Analytics in Precision Agriculture for Sustainable Development.

AI and Data Analytics in Precision Agriculture for Sustainable Development.

・ISBN 978-3-031-93086-7 hard EUR 199.99

¥53,456.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Rani, Sita / Dutta, Soumi / Rocha, Alvaro / Cengiz, Korhan (eds.),
シリーズ (Studies in Computational Intelligence)
出版社 (Springer International Publishing AG, SZ)
出版年月2025
ページ数352 pp.
言語ENG
ニュース番号<A04-7778>

解説

This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity.

Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs.

Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture's carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment.

Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.