机读格式显示(MARC)

• 000 02456nam a2200265 i 4500

• 001 0000828723

• 003 OCoLC

• 005 20250905173700.0

• 008 241021s2024 sz 000 0 eng d

• 020 __ |a 9783031384011 |q paperback

• 020 __ |a 3031384016

• 040 __ |a GBVCP |b eng |e rda |c GBVCP

• 090 __ |a S126/X14

• 093 __ |a S126 |2 5

• 100 1_ |a Vuppalapati, Chandrasekar, |e author.

• 245 10 |a Specialty crops for climate change adaptation : |b strategies for enhanced food security by using... machine learning and artificial intelligence / |c Chandrasekar Vuppalapati.

• 260 __ |a Cham : |b Springer International Publishing AG, |c 2024.

• 300 __ |a 813 pages ; |c 24 cm.

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 0_ |a STEAM-H: science, technology, engineering, agriculture, mathematics & health

• 520 __ |a 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!

• 650 _0 |a Artificial intelligence |x Agricultural applications.

• 650 _0 |a Specialty crops |x Climatic factors.