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Artificial Intelligence and Data Science in Agriculture
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Specialty crops—fruits, vegetables, nuts, horticulture, and nursery crops—are a powerful engine of agricultural growth, contributing nearly one-fifth of U.S. farm revenues and driving a $1.6 trillion global market. As demand rises and climate challenges intensify, growers need smarter tools to stay competitive. This book brings together AI, data science, climate modeling, and economic forecasting to help farmers and innovators improve yields, manage risk, enhance sustainability, and secure long-term profitability. Designed for agricultural leaders, technologists, and policymakers, it delivers practical, future-ready solutions to strengthen specialty crop resilience and global food security.
This book is included in DOAB.
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Keywords
- Agriculture
- artificial intelligence
- Climate Change
- Klimawandel
- Künstliche Intelligenz
- Landwirtschaft
- Machine learning
- Maschinelles Lernen
- specialty crops
- thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNC Data capture and analysis
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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