Shipping costs will be calculated based on this address throughout the site.
Select your country
Americas
Argentina
Brazil
Canada
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Mexico
Peru
U.S.A.
Uruguay
Europe
Austria
Belgium
Croatia
Czech Republic
Denmark
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Malta
Netherlands
Norway
Poland
Portugal
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
United Kingdom
Rest of the world


Harnessing Data Science for Sustainable Agriculture and Natural Resource Management
J. Adinarayana;Wei Guo;Sanjay Chaudhary;Mehul S. Raval (Author) · Springer Nature · Hardcover
This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations'' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2zero hunger, 6clean water and sanitation, 12responsible consumption and production, 13climate action, and 15Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.
Do you have a question about the book? Login to be able to add your own question.
