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Author: G. P. Obi Reddy Publisher: Springer Nature ISBN: 9811658471 Category : Technology & Engineering Languages : en Pages : 326
Book Description
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.
Author: G. P. Obi Reddy Publisher: Springer Nature ISBN: 9811658471 Category : Technology & Engineering Languages : en Pages : 326
Book Description
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.
Author: Bekele Shiferaw Publisher: CABI ISBN: 0851998283 Category : Technology & Engineering Languages : en Pages : 398
Book Description
Part I: Introduction; Part II: Valuation of ecosystem services and biophysical indicators of NRM impacts; Part III: Methodological advances for a comprehensive impact assessment; Part IV: NRM impact assessment in practice.
Author: Paul Sillitoe Publisher: CABI ISBN: 1780647050 Category : Technology & Engineering Languages : en Pages : 251
Book Description
Indigenous Knowledge (IK) reviews cutting-edge research and links theory with practice to further our understanding of this important approach's contribution to natural resource management. It addresses IK's potential in solving issues such as coping with change, ensuring global food supply for a growing population, reversing environmental degradation and promoting sustainable practices. It is increasingly recognised that IK, which has featured centrally in resource management for millennia, should play a significant part in today's programmes that seek to increase land productivity and food security while ensuring environmental conservation. An invaluable resource for researchers and postgraduate students in environmental science and natural resources management, this book is also an informative read for development practitioners and undergraduates in agriculture, forestry, geography, anthropology and environmental studies.
Author: Pancham Shukla Publisher: Walter de Gruyter GmbH & Co KG ISBN: 311075682X Category : Computers Languages : en Pages : 457
Book Description
This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models.
Author: Drew Conway Publisher: "O'Reilly Media, Inc." ISBN: 1449330533 Category : Computers Languages : en Pages : 323
Book Description
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Author: Laura German Publisher: Springer Science & Business Media ISBN: 9048188253 Category : Science Languages : en Pages : 309
Book Description
Beyond the Biophysical provides a broad overview of agriculture and natural resource management (NRM) scholarship and practice that lies beyond the biophysical, emphasizing instead epistemological, cultural, and political foundations of NRM. The volume is oriented toward professionals with expertise in agriculture and natural resource management scholarship and practice, but who lack exposure to the conceptual and methodological underpinnings of critical theory, the anthropology of development, ecological anthropology, and other relevant scholarship. It therefore follows common standards of academic rigour, but minimizes the use of jargon, integrates detailed case studies with conceptual syntheses, and attempts to move from critique to concrete recommendations for scholarship and practice. The volume seeks to foster a more nuanced and responsible engagement with local communities and the natural world among NRM scholars and practitioners.
Author: Sanjay Chaudhary Publisher: Springer Nature ISBN: 981990577X Category : Technology & Engineering Languages : en Pages : 280
Book Description
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.
Author: G. P. Obi Reddy
Author: G. P. Obi Reddy
Author: Bekele Shiferaw
Author: Paul Sillitoe
Author: Pancham Shukla
Author: 
Author: Drew Conway
Author: Laura German
Author: Sanjay Chaudhary
Author: Radek Silhavy
Author: Nikolaos Bourbakis