raval mehul (24 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.97.

Taschenbuch. Zustand: Neu. Neuware - This title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare.

Paperback. Zustand: Brand New. 236 pages. 9.21x6.14x0.59 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 336 | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware - Dieses Buch präsentiert die neuesten Erkenntnisse auf dem Gebiet des digitalen Ökosystems für Innovationen in der Landwirtschaft. Das Buch ist in zwei Abschnitte mit dreizehn Kapiteln unterteilt, die sich mit spezialisierten Bereichen befassen. Es gibt dem Leser einen Überblick über die Rahmenbedingungen und Technologien, die an der Digitalisierung der Landwirtschaft beteiligt sind, sowie über die Methoden zur Datenverarbeitung, Entscheidungsfindung und innovativen Dienste/Anwendungen zur Förderung digitaler Transformationen in der Landwirtschaft. Die Kapitel wurden von Experten verfasst, die ihre Erfahrungen in verständlicher Sprache durch Fallstudien, geeignete Illustrationen und Tabellen teilen. Der Inhalt wurde entwickelt, um die Bedürfnisse der Geoinformatik, Datenwissenschaften, Landwirtschafts- und Umweltwissenschaften von Universitäten, landwirtschaftlichen Universitäten, technologischen Universitäten, Forschungsinstituten und akademischen Hochschulen weltweit zu erfüllen.Es unterstützt Planer, politische Entscheidungsträger und Erweiterungswissenschaftler bei der Planung und nachhaltigen Bewirtschaftung von Landwirtschaft und natürlichen Ressourcen.

Zustand: New.

hardcover. Zustand: Very Good.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.