AI in Agriculture Cultivating Innovation for Sustainable Farming Practices

AI in Agriculture Cultivating Innovation for Sustainable Farming Practices

Harnessing Artificial Intelligence to Revolutionize Modern Farming and Boost Sustainability

About the Book

AI is transforming agriculture, from precision farming and automated irrigation to predictive analytics and smart pest control. AI in Agriculture: Cultivating Innovation for Sustainable Farming Practices explores how artificial intelligence is optimizing crop yields, reducing waste, and fostering eco-friendly solutions. Whether you're a farmer, researcher, or tech enthusiast, this book unveils the future of smart farming.

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About the Author

ALBERT TETTEH ADJEI
ALBERT TETTEH ADJEI

Albert Tetteh Adjei is a passionate software engineer from Ghana with a deep interest in emerging technologies and digital transformation. A graduate of Aptech Computer Education, he specializes in software development and has a keen focus on next-generation wireless technologies, artificial intelligence, and cybersecurity. With a strong background in tech, Albert is dedicated to simplifying complex topics for readers, helping them navigate the ever-evolving digital landscape.

Table of Contents

Table of Contents Chapter 1: Introduction to AI in Agriculture .................................. 10 Chapter 2: Historical Perspectives on Agriculture and Technology .......................................................................................................... 13 Chapter 3: Basics of Sustainable Farming Practices ...................... 19 Chapter 4: Overview of Artificial Intelligence ................................ 25 Chapter 5: Applications of AI in Crop Management ...................... 33 Chapter 6: Precision Agriculture Techniques................................. 39 Chapter 7: AI in Soil Management and Fertility ............................. 46 Chapter 8: Remote Sensing and Drones in Agriculture ................. 53 Chapter 9: IoT and Sensor Technologies for Farm Monitoring..... 60 Chapter 10: Robotics and Automation in Farming ........................ 66 Chapter 11: AI in Pest and Disease Management ......................... 73 Chapter 12: Predictive Analytics for Yield Optimization ............... 79 Chapter 13: Machine Learning in Crop Prediction and Forecasting .......................................................................................................... 86 Chapter 14: AI-driven Climate Adaptation Strategies ................... 93 Chapter 15: Blockchain Applications in Supply Chain Management ........................................................................................................ 100 Chapter 16: Data Collection and Management in Agricultural AI ........................................................................................................ 105 Chapter 17: Ethical Considerations in AI-driven Agriculture ...... 112 Chapter 18: Adoption Challenges and Solutions ......................... 117 9 Chapter 19: Case Studies: Successful Implementations of AI in Agriculture ..................................................................................... 123 Chapter 20: Future Trends and Innovations in AI Farming ......... 128 Chapter 21: AI and Genetic Engineering for Crop Improvement 136 Chapter 22: AI-driven Decision Support Systems for Farmers ... 143 Chapter 23: Urban Agriculture and AI Integration ...................... 149 Chapter 24: AI in Aquaculture and Fisheries Management ........ 157 Chapter 25: Social and Economic Impacts of AI on Farming Communities ................................................................................. 163 Chapter 26: Policy Frameworks and Regulations for AI in Agriculture ..................................................................................... 169 Chapter 27: Education and Training for AI Adoption in Farming 176 Chapter 28: Collaborative Research and Development in Agri-Tech ........................................................................................................ 184 Chapter 29: Integration of AI with Sustainable Farming Policies 191 Chapter 30: Conclusion: Harnessing AI for a Greener Future in Agriculture ..................................................................................... 196

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