Harnessing AI to Reshape the Future of Agriculture

Springer, 2026

This book explores the cutting-edge intersection of artificial intelligence, fuzzy logic, and sustainable agriculture. Written in accessible language, this comprehensive volume brings together insights from leading experts to address the pressing challenges facing global food systems in the era of climate change. From multi-factorial yield forecasting to adaptive fertilizer prescription, the book covers a wide range of innovative applications. It examines how emerging technologies like satellite imagery analysis, precision farming, and even the agricultural metaverse are revolutionizing farming practices. Readers will discover how these advanced tools are enhancing crop resilience, optimizing resource use, and improving overall agricultural sustainability. More than just a technical guide, "Smart Farming" also delves into the economic dynamics of technology adoption in agriculture and discusses the policy interventions needed to accelerate this transformation. Whether you're a farmer, researcher, policymaker, or student, this book offers valuable insights into creating a more resilient and efficient global food system. It presents a vision of the future where technology and nature work in harmony to feed a growing world population while preserving our planet's resources. Agriculture has come a long way from its ancient roots of manual labor and basic tools. Over centuries, it progressed through mechanization with tractors and machinery, and in recent decades, has entered the digital age. This latest evolution, known as "smart farming," combines sensors, data analysis, and automation to make farming more precise and efficient. At the forefront of this revolution are Artificial Intelligence (AI) and fuzzy logic. AI systems can perform complex tasks like visual analysis and decision-making, while fuzzy logic deals with approximate reasoning, making both particularly suited to the complex, variable world of agriculture.

• Curatore: Ahmed Alhussaini Hamad, A. K. Haghi, Pushan Kumar Dutta, Rashmi Singh
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783032121189