Chandrasekar Vuppalapati 
Machine Learning and Artificial Intelligence for Agricultural Economics [PDF ebook] 
Prognostic Data Analytics to Serve Small Scale Farmers Worldwide

Support

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.

The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.
Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

€160.49
Zahlungsmethoden

Inhaltsverzeichnis

1. Introduction.- 2. Data Engineering and Exploratory Data Analysis Techniques.- 3. Agricultural Economy and ML Models.- 4. Commodity Markets – Machine Learning Techniques.- 5. Weather Patterns and Machine Learning.- 6. Agriculture Employment and the Role of AI in improving Productivity.- 7. Role of Government and the AI Readiness.- 8. Future.

Über den Autor

Chandra Vuppalapati is a seasoned Software IT Executive with diverse experience in software technologies, enterprise software architectures, cloud computing, big data business analytics, internet of things (Io T), and software product & program management. Chandra has held engineering and product leadership roles at GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies. Chandra has an MS in software engineering form San Jose State University (US) and an MBA from Santa Clara University (US) and teaches software engineering, mobile computing, cloud technologies, and web & data mining at San Jose State University.

Dieses Ebook kaufen – und ein weitere GRATIS erhalten!
Sprache Englisch ● Format PDF ● Seiten 599 ● ISBN 9783030774851 ● Dateigröße 50.6 MB ● Verlag Springer International Publishing ● Ort Cham ● Land CH ● Erscheinungsjahr 2021 ● herunterladbar 24 Monate ● Währung EUR ● ID 7956883 ● Kopierschutz Soziales DRM

Ebooks vom selben Autor / Herausgeber

3.899 Ebooks in dieser Kategorie