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Agro-Cyber Intelligence de Arun Kumar Chaudhary

Agro-Cyber Intelligence

Editat de Arun Kumar Chaudhary, Deepak Gupta, Gunjan Chhabra, Shashi Bhushan
en Limba Engleză Hardback – 30 dec 2026

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Specificații

ISBN-13: 9789372191134
ISBN-10: 9372191132
Pagini: 490
Dimensiuni: 152 x 229 mm
Greutate: 1.5 kg
Editura: New India Publishing Agency

Cuprins

  • Chapter 1. Agri-Tech Evolution: Bridging Binary Code and Cultivation.
  • Chapter 2. AI-Driven Transformation of Future Farming.
  • Chapter 3. Role of Artificial Intelligence in Crop and Soil Intelligence.
  • Chapter 4. Smart Soil and Crop Health Monitoring: A Disruptive IoT-AI Framework for Sustainable Precision Farming.
  • Chapter 5. Real-Time Mango Ripeness Prediction via YOLOv8 Object Detection and Swin Transformer Models.
  • Chapter 6. A Strategic Roadmap for Machine Learning Integration in Global Agronomic Systems.
  • Chapter 7. Precision Agronomic Optimization Integrating IoT Edge Computing and Circular Bioeconomy.
  • Chapter 8. Integrating Life Cycle Assessment and Machine Learning for Biowaste-based Products.
  • Chapter 9. Leveraging SDOH for Disease Prediction using LightGBM, Bagging Ensemble, and Elastic-Net Logistic Regression.
  • Chapter 10. Biowastes in Agriculture: Sources, Challenges and Opportunities.
  • Chapter 11. Farm Biowaste into Profits: Making Waste Part of Farming in a Climate and Sustainable Bioeconomy.
  • Chapter 12. Implementation of Technical Systems in the Circular Economy in Agriculture.
  • Chapter 13. Vermicomposting for Circular Agriculture in Kanpur Dehat: A Sustainable Model for Biowaste Management.
  • Chapter 14. A Case Study in the Textile Sector for Circular Economy as a Pathway to Sustainability.
  • Chapter 15. Optimized System Architecture for IoT-Based Fitness Tracking: Real-Time Exercise Recognition Using Arduino and Edge AI.
  • Chapter 16. Securing Smart Agriculture Technologies: Analyzing Cyber Security Threats and Risk Mitigation Strategies.
  • Chapter 17. Novel Framework Using Artificial Intelligence and Machine Learning for Cybersecurity and Risk Management in Smart Agritech Systems.
  • Chapter 18. Cybersecurity and Risk Management in Smart Agritech Systems.
  • Chapter 19. Transforming Agri-Food Traceability and Biowaste Transparency with Blockchain.
  • Chapter 20. Blockchain-Enabled Traceability Systems for Biowaste Management in Smart Agriculture: A Cyber-Physical Approach.