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portada Smart Agriculture Through Mathematical Modelling and Computational Approaches
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
540
Format
Hardcover
Dimensions
22.9x15.2 cm
ISBN13
9789372190519

Smart Agriculture Through Mathematical Modelling and Computational Approaches

C Kishor Kumar Reddy;B N S M Chandrika;P. R. Anisha;Inam Ullah Khan;Jothi Paranthaman (Author) · New India Publishing Agency – NIPA · Hardcover

Smart Agriculture Through Mathematical Modelling and Computational Approaches - C Kishor Kumar Reddy;B N S M Chandrika;P. R. Anisha;Inam Ullah Khan;Jothi Paranthaman

New Book Imported to Austria
Delivery: 15 Jan - 22 Jan Shipping: 41 to 45 business days.
435,22 €
Import costs and 10% VAT included in the price ✅
435,22 €

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Synopsis "Smart Agriculture Through Mathematical Modelling and Computational Approaches"

Smart Agriculture through Mathematical Modelling and Computational Approaches presents a comprehensive exploration of advanced computational techniques and mathematical frameworks that are transforming modern agriculture into an intelligent, data-driven, and sustainable system. The book highlights the integration of artificial intelligence, machine learning, remote sensing, Internet of Things (IoT), blockchain, cloud computing, digital twins, and predictive analytics in addressing contemporary agricultural challenges. It systematically discusses applications such as crop yield forecasting, disease prediction, smart irrigation, soil health monitoring, precision farming, risk assessment, and agricultural decision-support systems.

Emphasis is placed on mathematical modelling, optimization methods, simulation techniques, and computational intelligence for improving productivity, resource efficiency, and climate resilience. The volume also examines emerging areas including Web3 technologies, agricultural blockchain systems, agent-based modelling, and AI-enabled smart farming ecosystems. Designed for researchers, academicians, engineers, policymakers, and postgraduate students, this book serves as a valuable reference for advancing sustainable, technology-enabled, and computationally intelligent agricultural systems.

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