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Full Description
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.
Contents
1. State-of-the Art Modeling in Soil and Ecosystem Services under the Current Scenario 2. Predicting and Modeling of Soil Organic Carbon in Various Land Uses 3. Modeling for Soil Processes, Soil Quality, and Soil Biodiversity from an Agricultural and Ecosystem Perspective 4. Holistic Approach and New Assessment Techniques for Modeling Soil Erosion under Changing Climatic Conditions 5. Deep Learning-Based Approach for Disease Detection in the Changing Global Ecosystem 6. Deep Learning Approach for Detecting, Classifying, and Managing Insect Pests of Various Crops 7. A Systemic Machine Learning Approach for Fruit Yield Estimation under Changing Global Climatic Conditions 8. Current Trends and Future Perspectives for Modeling Agronomic Crops and Improving Intercropping in Climate Change Scenarios: A Review 9. Novel Disruptive Technology Innovations for Smart Sustainable Agricultural Practices
