AI and Data Analytics in Precision Agriculture for Sustainable Development
Springer
ISBN 978-3-031-93086-7
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
8 s/w-Abbildungen, 102 Farbabbildungen.
In englischer Sprache
Umfang: xiii, 352 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-93086-7
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Studies in Computational Intelligence
Produktbeschreibung
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.
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