Computer and Computing Technologies in Agriculture II 1st Edition by Chunjiang Zhao, Daoliang Li – Ebook PDF Instant Download/Delivery. 9781441902139 ,144190213X
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ISBN 10: 144190213X
ISBN 13: 9781441902139
Author: Chunjiang Zhao, Daoliang Li
Computer and Computing Technologies in Agriculture II 1st Edition Table of contents:
1. Introduction to Computing Technologies in Agriculture
- Overview of Agricultural Challenges and the Role of Technology
- Historical Development of Computing in Agriculture
- Current Trends and Innovations in Agricultural Technologies
- Future Directions and Opportunities in Agricultural Computing
2. Geographic Information Systems (GIS) and Remote Sensing in Agriculture
- Fundamentals of GIS and Remote Sensing Technologies
- Applications of GIS in Agricultural Planning and Management
- Remote Sensing for Crop Monitoring and Yield Prediction
- Data Acquisition, Processing, and Analysis in Agriculture
- Integration of GIS and Remote Sensing with Other Agricultural Systems
3. Precision Agriculture and Farm Management Systems
- Principles of Precision Agriculture
- Advanced Technologies in Farm Management: Sensors, Drones, and IoT
- Data Collection, Analysis, and Decision-Making Tools
- Variable Rate Technology and Site-Specific Crop Management
- Integration of Precision Agriculture with Farm Management Systems
4. Agricultural Robotics and Automation
- Introduction to Agricultural Robotics
- Types of Agricultural Robots: Drones, Autonomous Tractors, and Harvesters
- Robot Navigation, Sensing, and Control Systems
- Case Studies of Robotic Applications in Crop Harvesting and Soil Management
- Challenges and Future Prospects of Robotics in Agriculture
5. Machine Learning and Artificial Intelligence in Agriculture
- Fundamentals of Machine Learning and AI Technologies
- Machine Learning Algorithms for Crop Disease Detection and Pest Management
- AI for Predicting Crop Yields and Environmental Impact
- AI in Breeding and Genetics for Crop Improvement
- Applications of AI in Smart Greenhouses and Vertical Farming
6. Big Data and Cloud Computing in Agriculture
- Introduction to Big Data and Its Relevance to Agriculture
- Data Mining and Analytics for Agricultural Decision Support
- Cloud Computing Infrastructure for Data Storage and Processing
- The Role of Cloud Platforms in Farm Data Management and Collaboration
- Case Studies of Big Data and Cloud Solutions in Agriculture
7. Internet of Things (IoT) for Smart Farming
- Overview of IoT and Its Applications in Smart Farming
- Sensors and Devices for Environmental Monitoring
- IoT-Enabled Precision Irrigation and Fertilization Systems
- Smart Livestock Management and Monitoring Systems
- Future Trends in IoT for Agricultural Automation
8. Modeling and Simulation in Agricultural Systems
- Introduction to Modeling and Simulation Techniques
- Modeling Crop Growth, Soil-Plant Water Relations, and Pest Dynamics
- Simulation of Agricultural Systems for Decision Support
- Applications of Simulation for Water Management and Resource Allocation
- The Role of Simulation in Sustainability and Climate Change Adaptation
9. Agricultural Data Analytics and Decision Support Systems
- Techniques for Agricultural Data Collection and Analysis
- Data-Driven Decision Support Systems in Agriculture
- Decision Support for Crop Management, Irrigation, and Fertilization
- Implementing Data Analytics for Pest and Disease Control
- The Role of Decision Support Systems in Policy and Resource Management
10. Biotechnology and Genomics in Agriculture
- The Intersection of Biotechnology and Computational Technologies
- Genomic Data Analysis for Crop Improvement
- Bioinformatics in Pest and Disease Resistance Research
- Computational Modeling in Genetic Engineering of Crops
- Applications of CRISPR and Other Genetic Tools in Agriculture
11. Sustainability and Environmental Impact of Agricultural Technologies
- Environmental Benefits of Advanced Agricultural Technologies
- Reducing Chemical Use Through Precision Agriculture
- Optimizing Resource Use and Minimizing Waste in Agriculture
- Technological Solutions for Sustainable Agricultural Practices
- Impact of Computing Technologies on Climate Change Mitigation
12. Cybersecurity and Data Privacy in Agricultural Computing
- The Importance of Cybersecurity in Agricultural Systems
- Protecting Farm Data and Cloud-Based Solutions
- Security Challenges in IoT and Big Data in Agriculture
- Privacy Concerns in the Use of Agricultural Technologies
- Best Practices for Securing Agricultural Data and Technology
13. Policy, Ethics, and Regulation of Agricultural Technologies
- Policy Issues in the Adoption of Agricultural Technologies
- Ethical Considerations in the Use of AI and Robotics in Agriculture
- Regulatory Frameworks for Data Privacy and Security
- Global Perspectives on Agricultural Technology and Policy
- The Role of Governments and International Organizations in Shaping the Future of Agricultural Technologies
14. Case Studies in Agricultural Computing Technologies
- Case Study 1: Precision Agriculture for Sustainable Farming
- Case Study 2: Robotics in Precision Harvesting and Planting
- Case Study 3: Big Data and Cloud Computing for Crop Monitoring
- Case Study 4: IoT-Based Systems for Water Management and Irrigation
- Case Study 5: AI and Machine Learning in Pest Control and Crop Protection
15. Conclusion and Future Perspectives
- Summary of Key Technologies and Applications in Agricultural Computing
- Challenges and Opportunities for the Next Decade in Agriculture
- Vision for the Future of Smart and Sustainable Agriculture
- The Role of Education and Research in Advancing Agricultural Technologies
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