From Conventional to Artificial Intelligence-Based Agriculture
Language: English
Published by Elsevier Science Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
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Add to basketItem description from seller
Neuware - From Conventional to Artificial Intelligence-Based Agriculture explores the evolving landscape of agriculture as it transitions from traditional practices to advanced, AI-driven solutions. With AI and machine learning revolutionizing industries worldwide, their impact on agriculture is becoming increasingly significant. These technologies are not only aiding in climate modeling but also opening new possibilities for precision farming, enabling more accurate crop health diagnostics, efficient resource management, and timely intervention strategies.By integrating conventional agricultural knowledge with cutting-edge AI tools, farmers and researchers can better assess soil conditions, predict optimal planting windows, monitor nutrient dynamics, and understand market trends with greater precision. This convergence of tradition and technology supports more resilient, productive, and sustainable agricultural systems, paving the way for a smarter and more food-secure future.
Seller Inventory # 9780443274657
- Title
- From Conventional to Artificial Intelligence-Based Agriculture
- Author
- Rhydum Sharma
- Publisher
- Elsevier Science Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443274657
- ISBN 13
- 9780443274657
- Item weight
- 399 grams
- Dimensions
- 234x190x12 mm
From Conventional to Artificial Intelligence-Based Agriculture explores the evolving landscape of agriculture as it transitions from traditional practices to advanced, AI-driven solutions. With AI and machine learning revolutionizing industries worldwide, their impact on agriculture is becoming increasingly significant. These technologies are not only aiding in climate modeling but also opening new possibilities for precision farming, enabling more accurate crop health diagnostics, efficient resource management, and timely intervention strategies.
By integrating conventional agricultural knowledge with cutting-edge AI tools, farmers and researchers can better assess soil conditions, predict optimal planting windows, monitor nutrient dynamics, and understand market trends with greater precision. This convergence of tradition and technology supports more resilient, productive, and sustainable agricultural systems, paving the way for a smarter and more food-secure future.
- Reveals how artificial intelligence is transforming foundational agricultural practices
- Highlights emerging opportunities and challenges
- Provides insights for future research and development
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Richa Salwan is currently an Assistant Professor of microbiology at the College of Horticulture and Forestry (Dr. YS Parmar University of Horticulture and Forestry), Neri, Hamirpur, Himachal Pradesh, India. Dr. Salwan’s research interests and contributions are on the diversity of psychrotrophic bacteria from the Western Himalayas and their utilization for industrial applications. She has also worked on the exploration of extremophiles for industrially relevant enzymes and plant beneficial microbes for agricultural benefits. She has published two books and numerous research papers in several international journals. Dr. Salwan serves as an Academic Editor for PLOS ONE and is also a recognized reviewer for several journals including MDPI Genes, MDPI Diversity, MDPI Foods, BMC Microbiology, Journal of Plant Growth Regulation, and Microbial Ecology.
Rhydum Sharma has a PhD and MTech in Biotechnology. She is a young researcher who has published seven research articles and three book chapters. She is an active reviewer for various international journals. She has been awarded the second best oral presentation award by Frontiers in Nutrition. Her major research interests involve exploring the genetic diversity of underexplored crops for value additions and microbes for sustainable agriculture.
"About the title" may belong to another edition of this title.
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