{"product_id":"9783032134110","title":"World Sustainability Series","description":"\u003ch1\u003eWorld Sustainability Series\u003c\/h1\u003e \u003ch2\u003eSingh, Rubee; Filho, Walter Leal; Kumar, Vikas\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understanding \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e-driven sustainability, a concept that refers to the integration of advanced \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e tools—such as artificial intelligence, big \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e analytics, Internet of Things (IoT), and blockchain—into environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-time \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating how \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how big \u003cspan class=\"markoue8zm9xz\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\"\u003edata\u003c\/span\u003e can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-02-14\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032134110\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-032-13412-7\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 456\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44752365584524,"sku":"9783032134110","price":161.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032134110.jpg?v=1777995624","url":"https:\/\/lateknightbooks.com\/products\/9783032134110","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}