
Emerging Smart Agricultural Practices Using Artificial Intelligence
- 382 pages
- English
- PDF
- Available on iOS & Android
Emerging Smart Agricultural Practices Using Artificial Intelligence
About this book
Bring the latest technology to bear in the fight for sustainable agriculture with this timely volume
Artificial intelligence (AI) has the potential to revolutionize virtually every area of research and scientific practice, including agriculture. With AI solutions emerging to drive higher yields, produce increased resource efficiency, and foster sustainability, there is an urgent need for a volume outlining this progress and charting its future course.
Emerging Smart Agricultural Practices Using Artificial Intelligence meets this need with a deep dive into the rapidly developing intersection of agriculture and artificial intelligence. Taking an interdisciplinary approach which applies data science, computer science, and engineering techniques, the book provides cutting-edge insights on the latest advancements in AI-driven agricultural practices. The result is an absolutely critical tool in the ongoing fight to develop sustainable world agriculture.
In addition, this book provides:
- Case studies and real-world applications of new techniques throughout
- Detailed discussion of agricultural applications for AI-driven technologies such as machine learning, computer vision, and data analytics
- A regional approach showcasing international best practices and addressing the varying needs of farmers worldwide
Emerging Smart Agricultural Practices Using Artificial Intelligence is ideal for agricultural professionals and scientists, as well as data scientists, technologists, and agricultural policymakers.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- About the Editors
- List of Contributors
- Preface
- Chapter 1 Agricultural Resilience: Water Quality and Human Well-Being
- Chapter 2 Precision Farming: A Technological Revolution for Sustainable Agriculture
- Chapter 3 Precision Farming and Smart Crop Management
- Chapter 4 Empowering Smart Agriculture with Artificial Intelligence
- Chapter 5 Foundations of Agricultural AI
- Chapter 6 AI in Agriculture: A Comprehensive Exploration of Technological Transformation
- Chapter 7 Integrating AI and Climate-Smart Agricultural Mechanization: Strategies for Enhancing Productivity and Sustainability in a Changing Climate
- Chapter 8 Harvesting Tomorrow: Exploring Real-World Applications of AI in Agriculture
- Chapter 9 Smart Agriculture: Predictive Modeling of Fertilizer Requirements Using Neural Networks
- Chapter 10 Reviewing Advances in Image-Based Plant Disease Detection
- Chapter 11 Leveraging ResNeXt50 and LSTM for Enhanced Plant Disease Detection: A Hybrid Model Proposal
- Chapter 12 FarmTechAI: Artificial Intelligence-Based Modern Farmer Management System
- Chapter 13 Livestock Monitoring and Welfare
- Chapter 14 Smart Crop Management: Harnessing Green IoT Tomorrow
- Chapter 15 Current Progress of Sustainable Smart Agriculture Using Internet of Things
- Index
- EULA