Sood vishakha (48 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condizione: New.

Condizione: New.

Condizione: New.

Condizione: NEW.

Paperback. Condizione: new. Paperback. Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Includes utilization of AI with GEE tools for a spectrum of scientific domains in remote sensing and geographic information systems (GIS) including natural hazard assessment, aquatic and hydrological applications, and forest coverHighlights.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. Provides detailed instruction on the applications of scatterometers to a wide range of Earth sciences, including benefits and case studies showing real world useCovers the use of scatterometers in analyzing and responding to natural disaste.

Condizione: New. Dr. Vishakha Sood is working as a Scientist at the Indian Institute of Technology, Ropar, Punjab under the Women Scientist Scheme (WOS-A) by the Department of Science and Technology (DST), Govt. of India. She is also the founder of a company named.

Condizione: New.

Hardback. Condizione: New. To secure the future of global food systems in an era of climate disruption, this comprehensive, hands-on reference equips you with the cutting-edge geospatial intelligence and AI tools needed to build highly profitable, sustainable, and climate-resilient farms. With a growing population, rising demand for food, and accelerating climate change, geospatial intelligence is reshaping how the world farms. This book delivers a comprehensive, hands-on guide to modern precision agriculture, bringing together the core enabling technologies of remote sensing, GIS, IoT, artificial intelligence, and cloud-based earth-observation platforms into one practical, decision-focused reference. From planting to harvest, readers see how location-aware data and smart sensors are used to monitor crops, manage irrigation, assess soil health, classify land use, and quantify environmental impact with a resolution and speed that traditional methods cannot match. Across eighteen carefully sequenced chapters, the book moves from foundations to frontier applications. Each chapter is grounded in real-world case studies that show how these tools are already being deployed across emerging agricultural economies. The book ends with a forward look at AI-driven analytics, multisensor fusion, and cloud technologies that will define the next decade. The result is a single, authoritative volume for students, researchers, agri-tech innovators, and policy professionals who want to understand and apply geospatial intelligence to build farming systems that are productive, profitable, and sustainable.…

Condizione: New. 2026. 1st Edition. hardcover. . . . . .

Hardcover. Condizione: Brand New. 352 pages. 9.25x6.30x1.02 inches. In Stock.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching. …

Buch. Condizione: Neu. Neuware - This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters. Features - Includes real-world examples and case studies showing how generative AI improves environmental monitoring. - Provides step-by-step explanations of algorithms and their implementation. - Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions. - Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs. - Applies to diverse fields such as urban planning, agriculture, and disaster management. - Discusses ethical considerations and challenges when integrating AI with remote sensing. This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.…