Data Science In Agriculture And Natural Resource Management
Download Data Science In Agriculture And Natural Resource Management full books in PDF, epub, and Kindle. Read online free Data Science In Agriculture And Natural Resource Management ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : G. P. Obi Reddy |
| Publisher | : Springer Nature |
| Total Pages | : 326 |
| Release | : 2021-10-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9811658471 |
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 | : Siwa Msangi |
| Publisher | : Springer |
| Total Pages | : 260 |
| Release | : 2020-08-14 |
| Genre | : Business & Economics |
| ISBN | : 9783030134891 |
This book assesses recent developments in the analysis of agricultural policy and water resource management, and highlights the utility and theoretical rigor of quantitative methods for modeling agricultural production, market dynamics, and natural resource management. In diverse case studies of the intersection between agriculture, environmental quality and natural resource sustainability, the authors analyze economic behavior - both at aggregate as well as at individual agent-level - in order to highlight the practical implications for decision-markers dealing with environmental and agricultural policy. The volume also addresses the challenges of doing robust analysis with limited data, and discusses the appropriate empirical approaches that can be employed. The studies in this book were inspired by the work of Richard E. Howitt, Emeritus Professor of Agricultural Economics at the University of California at Davis, USA, whose career has focused on the application of robust empirical methods to address concrete policy problems.
| Author | : Bekele Shiferaw |
| Publisher | : CABI |
| Total Pages | : 398 |
| Release | : 2005 |
| Genre | : Technology & Engineering |
| ISBN | : 0851998283 |
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 | : Radek Silhavy |
| Publisher | : Springer Nature |
| Total Pages | : 550 |
| Release | : |
| Genre | : |
| ISBN | : 3031548205 |
| Author | : Pancham Shukla |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 370 |
| Release | : 2023-02-20 |
| Genre | : Computers |
| ISBN | : 3110756722 |
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 | : Jyoti Choudrie |
| Publisher | : Springer Nature |
| Total Pages | : 647 |
| Release | : 2023-10-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9819937582 |
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
| Author | : Sanjay Chaudhary |
| Publisher | : Springer Nature |
| Total Pages | : 280 |
| Release | : 2023-05-19 |
| Genre | : Technology & Engineering |
| ISBN | : 981990577X |
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 | : Paul Sillitoe |
| Publisher | : CABI |
| Total Pages | : 251 |
| Release | : 2017-11-07 |
| Genre | : Technology & Engineering |
| ISBN | : 1780647050 |
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 | : Kandiah Pakeerathan |
| Publisher | : Springer Nature |
| Total Pages | : 264 |
| Release | : 2023-03-08 |
| Genre | : Computers |
| ISBN | : 9811987386 |
This book in its eighteen chapters provides sustainable and smart technology-based solutions to developing nations. Smart farming is growing in importance due to the increasing demand for higher crop yield, the need for using natural resources efficiently, the rising use and sophistication of information and communication technology and the increasing need for climate-smart agriculture. Some of these chapters deal with the applications of smart agriculture to address the special challenges of the Small Island Developing States for sustainable agriculture. The book brings together scientific communities from India, Indonesia, Iraq, Malaysia, Mauritius, Myanmar, Palestine, Sri Lanka and South Africa to share their expertise to make the farming system more connected and intelligent. The smart farming techniques shared in different chapters not only help to reduce the overall cost and improve the quality and quantity of products but altogether help improve the sustainability of agriculture in the developing world. ‘Smart Farming’ is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technologies—including artificial intelligence (AI), big data, robotics, drones and Internet of Things (IoT)—for tracking, monitoring, automating and analyzing operations. Sometimes known as precision agriculture, smart farming is software managed and sensor monitored.
| Author | : Örjan Bodin |
| Publisher | : Cambridge University Press |
| Total Pages | : 391 |
| Release | : 2011-08-04 |
| Genre | : Law |
| ISBN | : 1139496573 |
Social Network Analysis (SNA), a quantitative approach to the study of social relations, has recently emerged as a key tool for understanding the governance of natural resources. Bringing together contributions from a range of researchers in the field, this is the first book to fully explore the potential applications of SNA in the context of natural resource management. Topics covered include the role of SNA in stakeholder selection; improving fisheries management and conservation; the effect of social network ties on public satisfaction and agrarian communication networks. Numerous case studies link SNA concepts to the theories underlying natural resource governance, such as social learning, adaptive co-management and social movements theory. Reflecting on the challenges and opportunities associated with this evolving field, this is an ideal resource for students and researchers involved in many areas of natural resource management, environmental biology, sustainability science and sociology.
