ID 202412 Next-Generation Smart Farming: AI Applications and Technological Advancements
Open Access
About the Book
The book delves into the transformative potential of advanced technologies in modern agriculture, focusing on precision farming, artificial intelligence (AI), drones and smart farming systems. The book explores how AI-driven analytics and machine learning models are revolutionizing decision-making processes, enabling farmers to optimize crop yields and resource use. It examines the integration of big data analytics to analyze vast amounts of agricultural data, providing actionable insights for better farm management. The role of drones in monitoring crop health, assessing field conditions and applying treatments with pinpoint accuracy is thoroughly discussed, highlighting their contribution to enhanced productivity and sustainability. The book also addresses the implementation of Internet of Things (IoT) devices in agriculture, which facilitate real-time monitoring and control of various farming operations, from soil moisture levels to livestock health. Innovative irrigation management techniques enabled by smart sensors and AI algorithms are presented, showcasing their impact on water conservation and efficient use of resources. Emphasizing climate resilience, the book explores strategies to adapt farming practices to changing climatic conditions through predictive analytics and smart technologies. Additionally, it covers the integration of AI and IoT for comprehensive crop health monitoring, allowing early detection of diseases and pests and timely interventions. By combining theoretical insights with practical applications, "Next-Generation Smart Farming" serves as an essential resource for researchers, practitioners and policymakers aiming to harness the power of technology to drive the future of sustainable and resilient agriculture.
Chapters Outlines but not Limited to:
Chapter 1: Transforming Agriculture with AI: An Introduction
Chapter 2: Innovative Farming Practices for the 21st Century
Chapter 3: Recent Breakthroughs in Smart Agriculture Technologies
Chapter 4: Harnessing AI for Sustainable Agricultural Development
Chapter 5: Precision Farming: Remote Sensing Techniques and Tools
Chapter 6: Geospatial Technologies: Mapping the Future of Agriculture
Chapter 7: Water Management Revolution: AI and Remote Sensing Synergy
Chapter 8: Advanced Strategies for Intensified Agriculture
Chapter 9: Predicting Crop Yields: AI and Machine Learning Approaches
Chapter 10: Remote Sensing Innovations for Smart Farming
Chapter 11: Agricultural Technology Disruption: AI's Role
Chapter 12: Building Climate-Resilient Agricultural Systems
Chapter 13: Big Data in Agriculture: Enhancing Weather Forecast Accuracy
Chapter 14: Smart Crop Monitoring Systems: Integrating AI and IoT
Chapter 15: Internet of Things in Agriculture: A New Era of Farming
Chapter 16: Optimizing Soil Moisture and Temperature with AI Solutions
Chapter 17: UAVs in Agriculture: Precision from Above
Chapter 18: Innovative Smart Irrigation Techniques for Water Efficiency
Chapter 19: Managing Biotic Stresses in Crops with Smart Technologies
Chapter 20: Soilless Cultivation: AI-Powered Techniques and Benefits
Chapter 21: Nutrient Management with Smart Farming Technologies
Chapter 22: AI and IoT Integration in Modern Soilless Farming
Chapter 23: Early Detection of Plant Diseases with AI Technologies
Chapter 24: Pest Control Innovations: AI-Driven Solutions
Chapter 25: Deep Learning for Leaf Disease Detection in Crops
Chapter 26: Automation in Agriculture: Robotic Seeding and Sowing
Chapter 27: Advanced AI Techniques for Accurate Crop Yield Prediction
Chapter 28: Overcoming AI Challenges in Modern Agriculture
Chapter 29: Boosting Efficiency in Precision Farming with AI
Chapter 30: Predictive Models for Smart Agricultural Practices
Chapter 31: AI-Based Decision Support for Farmers: A Game Changer
Chapter 32: Geospatial Analysis for Enhanced Crop Health Monitoring
Chapter 33: Innovations in Soil Health Assessment with Remote Sensing
Chapter 34: Adapting to Climate Change with Smart Farming Technologies
Chapter 35: AI-Powered Weather Predictions for Better Farming Decisions
Chapter 36: IoT-Enabled Crop Management Systems: Real-Time Solutions
Chapter 37: Sensor Innovations for Accurate Agricultural Data Collection
Chapter 38: The Future of Drones in Precision Agriculture
Chapter 39: Managing Smart Greenhouses with AI and IoT Technologies
Chapter 40: Blockchain in Agriculture: Ensuring Transparency and Traceability
Chapter 41: Ethical Implications of AI in Agriculture
Chapter 42: Future Directions in AI-Driven Agricultural Innovations
Chapter 43: Enhancing Farm Productivity with Advanced AI Tools
Chapter 44: Geospatial Data Integration in Precision Agriculture
Chapter 45: AI-Driven Soil Fertility Management
Chapter 46: Leveraging Big Data for Climate-Resilient Farming
Chapter 47: Predictive Analytics in Smart Agriculture
Chapter 48: IoT and AI for Enhanced Crop Quality and Yield
Chapter 49: Sustainable Farming Practices with AI Innovations
Chapter 50: Redefining Agricultural Practices with Next-Gen Smart Technologies
**Note: Chapter title may be modified or new chapter may also be proposed by the author.
SUPPORT FROM BIOTICA TO THE EDITORS & AUTHORS:
- Reviewing support from skilled, proficient and competent reviewers
- Plagiarism checking service through advanced tools
- Technical management
- Submission management
- Registration management
- Individual dashboard (forthcoming)
FOR ANY QUERIES:
Contact:+91-9863023086
Mail us: [email protected]