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Harnessing Data Science for Sustainable Agriculture and Natural Resource Management

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2024-12-19

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Description

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 2—zero hunger, 6—clean water and sanitation, 12—responsible consumption and production, 13—climate action, and 15—Life 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.
Pages
355 pages
Collection
Studies in Big Data
Parution
2024-12-19
Marque
Springer
EAN papier
9789819777617
EAN PDF
9789819777624
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
21094 Ko
Prix
210,99 €
EAN EPUB
9789819777624
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
70021 Ko
Prix
210,99 €

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