Specialty crops for climate change adaptation : strategies for enhanced food security by using machine learning and artificial intelligence / Chandrasekar Vuppalapati.
Vuppalapati, Chandrasekar, author.
2023
S494.5.D3 V87 2023
Available Online

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Title Specialty crops for climate change adaptation : strategies for enhanced food security by using machine learning and artificial intelligence / Chandrasekar Vuppalapati.
Author Vuppalapati, Chandrasekar, author.
ISBN 9783031383991 (electronic bk.)
3031383990 (electronic bk.)
9783031383984
3031383982
DOI https://doi.org/10.1007/978-3-031-38399-1
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xxxi, 813 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-38399-1 doi
Call Number S494.5.D3 V87 2023
Dewey Decimal Classification 338.10285
Summary Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted for 18.44% of the $433.569 billion in agriculture cash receipts collected in 2021. In 2020, that ratio was 21.47% of the $363.464 billion. Specialty crops are gaining increasing attention across nation as demonstrated in the 2018 farm bill (Agricultural Act of the 2018 Farm Bill (P.L. 115-334)) with the increased number of provisions addressing specialty crop issues, reflecting their growing role in the global economy. The cultivation of Specialty crops, nevertheless, has its own challenges. Specialty crops are generally more sensitive to climatic stressors and require more comprehensive management compared to traditional row crops. Specialty crops face significant financial risks threatening US$1.6 Trillion global market due to their higher water demand. The mission of the book is to prepare current and future software engineering teams, agriculture students, economists, macroeconomists with the skills and tools to fully utilize advanced data science, artificial intelligence, climate patterns, and economic models to develop software capabilities that help to achieve Specialty crops and economic sustainability, through improved productivity for years to come and ensure enough food for the future of the planet and generations to come!
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 19, 2023).
Series STEAM-H (Series), 2520-1948
Available in Other Form Print version: 9783031383984
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1. Introduction
Chapter 2. Specialty Crops
Chapter 3. Time Series Data
Chapter 4. Climate Models
Chapter 5. Supervised Models
Chapter 6. Unsupervised Models
Chapter 7. Heuristic & Constraint Optimization
Chapter 8. Deep Learning
Chapter 9. Dimensionality Reduction
Chapter 10. Ethical AI
Chapter 11. Final Thought.

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