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Produktbild: Smart Agriculture Through Mathematical Modelling and Computational Approaches
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Smart Agriculture Through Mathematical Modelling and Computational Approaches

286,99 €

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Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.12.2026

Herausgeber

B. N. S. M. Chandrika + weitere

Verlag

New India Publishing Agency

Seitenzahl

540

Maße (L/B)

22,9/15,2 cm

Gewicht

1200 g

Sprache

Englisch

ISBN

978-93-7219-051-9

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.12.2026

Herausgeber

Verlag

New India Publishing Agency

Seitenzahl

540

Maße (L/B)

22,9/15,2 cm

Gewicht

1200 g

Sprache

Englisch

ISBN

978-93-7219-051-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Smart Agriculture Through Mathematical Modelling and Computational Approaches

    • Chapter 1. Digital Transformation of Agriculture: Smart Farming Concepts, Constraints, and Future Directions
    • Chapter 2. Computational Techniques in Agricultural Systems: An Overview of Tools and Applications
    • Chapter 3. Model-Based Decision Support Systems for Sustainable Agriculture
    • Chapter 4. AI-Driven Chilli Leaf Disease Classification Using Emerging AgriTech Technologies for Autonomous Crop Health Management
    • Chapter 5. Yield Forecasting Models: Statistical and Machine Learning Approaches
    • Chapter 6. Optimizing Irrigation through Hydrological Modelling and Control Theory
    • Chapter 7. Soil Health Monitoring and Nutrient Dynamics: A Modelling Perspective
    • Chapter 8. Future Research Directions: Web3, AI, and Digital Twins in Agriculture
    • Chapter 9. Computational Models for Predicting Crop Diseases and Pathogen Spread
    • Chapter 10. Risk Assessment and Uncertainty Modelling in Agricultural Decision Making
    • Chapter 11. Agent-Based Modelling for Intelligent Farm System Simulation and Behaviour-Driven Sustainability Analysis
    • Chapter 12. Remote Sensing and Satellite Data in Agricultural Monitoring and Forecasting
    • Chapter 13. Big Data Analytics and Cloud Computing in Smart Farming Systems
    • Chapter 14. Modelling Socioeconomic Impacts of Smart Agricultural Technologies
    • Chapter 15. Integrating Multimodal Computer Vision and Mathematical Optimization for Synergistic Crop Health and Soil Nutrient Analysis
    • Chapter 16. Polygon Network Architecture: Layer-2 Design, Consensus, and Scalability
    • Chapter 17. Secure Data Sharing and Interoperability with Government and Enterprise Systems
    • Chapter 18. Security, Privacy, and Regulatory Challenges in Agricultural Blockchain Systems
    • Chapter 19. Role of Data Science and Artificial Intelligence in Precision Farming