Description
Artificial Intelligence is transforming modern agriculture, introducing precision, efficiency, and sustainability to farming worldwide. AI Farming: How Machine Learning Is Transforming Agriculture takes readers on an enlightening journey through the latest AI, ML, and IoT innovations reshaping crop production, livestock management, and supply chains.
From predictive analytics and smart irrigation to autonomous machinery and AI-driven pest control, this book explains how technology enables data-driven decision making while promoting sustainable and climate-resilient agriculture. Explore real-world applications of AI in soil monitoring, weather forecasting, aquaculture, greenhouse optimization, and market intelligence.
Through seventeen detailed chapters, readers will discover:
• Precision farming techniques powered by AI and ML
• Soil health analysis and automated mapping systems
• Weather prediction and climate adaptation strategies
• Smart pest management and disease detection using deep learning
• Robotics, autonomous tractors, and greenhouse automation
• AI-driven livestock and aquaculture monitoring
• Farm management dashboards, supply chain optimization, and market forecasting
• Ethical considerations, data ownership, and AI bias challenges
Perfect for readers who are:
✔ Agritech professionals and researchers
✔ Farmers and farm managers exploring AI solutions
✔ Policymakers and government officials focused on sustainable agriculture
✔ Anyone curious about the integration of AI, machine learning, and biotechnology in farming
Whether you want to enhance farm productivity, reduce waste, or explore cutting-edge agricultural technologies, this book provides actionable insights and a clear roadmap for the future of AI-driven agriculture.
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