Specialty Crops for Climate Change Adaptation: Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Autor Chandrasekar Vuppalapatien Limba Engleză Hardback – 15 oct 2023
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!
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Specificații
ISBN-13: 9783031383984
ISBN-10: 3031383982
Pagini: 813
Ilustrații: XXXI, 813 p. 811 illus., 557 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.35 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Locul publicării:Cham, Switzerland
ISBN-10: 3031383982
Pagini: 813
Ilustrații: XXXI, 813 p. 811 illus., 557 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.35 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Chandrasekar 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 (IoT), and software product and program management. He has held engineering and product leadership positions at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies. Chandrasekar currently teaches software engineering, large-scale analytics, data science, mobile computing, cloud technologies, and web and data mining at San Jose State University (USA).
Textul de pe ultima copertă
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!
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!
Caracteristici
Provides comprehensive Machine Learning, Artificial Intelligence, and Data Science techniques for Specialty Crops Provides Specialty Crops Climate Change Adaptation Strategies for enhanced Food Security Includes Machine Learning Linkage Models that offer Food Security to Nutrient causation