Soil, Agriculture, and Ecosystem Modeling
eBook - ePub

Soil, Agriculture, and Ecosystem Modeling

Smart Technologies for Sustainable Solutions

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Soil, Agriculture, and Ecosystem Modeling

Smart Technologies for Sustainable Solutions

About this book

Soil and ecosystem modeling is crucial for managing and comprehending ecological processes and should be required for all studies focusing on agriculture systems, environmental management, environmental sciences, and ecology. Offering an array of modeling strategies that include applications of machine learning, deep learning, and other AI methods, the book explores and demonstrates soil, agriculture, and ecosystem modeling for fostering smart sustainable agricultural practices. The volume takes into account the mechanisms of climate change as well as the challenges and hazards related to soil health, providing insight into long-term and sophisticated sustainable agriculture, crop protection and management, soil carbon sequestration, and ecology preservation.

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Yes, you can access Soil, Agriculture, and Ecosystem Modeling by Owais Bashir,Khalid Rehman Hakeem,Surinder S. Kukal,Razeef Mohd in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. About the Editors
  7. Contents
  8. Contributors
  9. Abbreviations
  10. About the Book
  11. Preface
  12. 1. State-of-the-Art Modeling in Soil and Ecosystem Services Under the Current Scenario
  13. 2. Predicting and Modeling of Soil Organic Carbon in Various Land Uses
  14. 3. Modeling for Soil Processes, Soil Quality, and Soil Biodiversity from an Agricultural and Ecosystem Perspective
  15. 4. Holistic Approach and New Assessment Techniques for Modeling Soil Erosion Under Changing Climatic Conditions
  16. 5. Deep Learning-Based Approach for Disease Detection in the Changing Global Ecosystem
  17. 6. Deep Learning Approach for Detecting, Classifying, and Managing Insect Pests of Various Crops
  18. 7. A Systemic Machine Learning Approach for Fruit Yield Estimation Under Changing Global Climatic Conditions
  19. 8. Current Trends and Future Perspectives for Modeling Agronomic Crops and Improving Intercropping in Climate Change Scenarios: A Review
  20. 9. Novel Disruptive Technology Innovations for Smart Sustainable Agricultural Practices
  21. Index