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خاک، کشاورزی و مدل‌سازی اکوسیستم: فناوری‌های هوشمند برای راه‌حل‌های پایدار

Soil, Agriculture, and Ecosystem Modeling : Smart Technologies for Sustainable Solutions

جلد کتاب خاک، کشاورزی و مدل‌سازی اکوسیستم: فناوری‌های هوشمند برای راه‌حل‌های پایدار

معرفی کتاب «خاک، کشاورزی و مدل‌سازی اکوسیستم: فناوری‌های هوشمند برای راه‌حل‌های پایدار» (با عنوان لاتین Soil, Agriculture, and Ecosystem Modeling : Smart Technologies for Sustainable Solutions) نوشتهٔ Owais Bashir (editor), Khalid Rehman Hakeem (editor), Surinder S. Kukal (editor), Razeef Mohd (editor)، منتشرشده توسط نشر Apple Academic Press Inc. در سال 2024. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

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. Discusses soil, agriculture, and ecosystem modeling using artificial intelligence technologies for fostering smart sustainable agricultural practices. It provides insight into sustainable agriculture, crop protection and management, soil carbon sequestration, and ecology preservation. Cover Half Title Title Page Copyright Page Dedication About the Editors Table of Contents Contributors Abbreviations About the Book Preface 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 Index
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