This book summarizes advancements in artificial intelligence (AI) technologies, particularly for applications in plant research. It discusses agricultural applications, including AI-enabled smart agriculture and speed breeding, as well as ethical considerations of AI applications in plant sciences and agriculture. AI in Plant Science and Precision Agriculture focuses on the application of AI in omics-based plant sciences and crop breeding, digital technologies used in farming, smart agricultural practices, and basic knowledge of AI tools and applications in disease classification and detection.
- 392 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
AI in Plant Science and Precision Agriculture
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Subtopic
BotanyTable of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- List of Contributors
- Preface
- Chapter 1 Artificial Intelligence for Biological Sciences: An Overview
- Chapter 2 Technical Advancements and Emerging Applications of Artificial Intelligence in Plant Research
- Chapter 3 Advances in Artificial Intelligence for Plant Systems Biology
- Chapter 4 Integrating AI with Plant Functional Genomics
- Chapter 5 Digital Plant Phenomics: Next-Generation Plant Phenotyping Based on Artificial Intelligence
- Chapter 6 Artificial Intelligence Approaches for Analyzing and Interpreting Visual Data in Plant Biology
- Chapter 7 Artificial Intelligence-Assisted Genomic Prediction for Plant Breeding
- Chapter 8 Artificial Intelligence for Plant 3D Spatial Omics: Current Achievements and Future Directions
- Chapter 9 Artificial Intelligence-Accelerated Crop Improvement
- Chapter 10 Plant Morphology and Species Identification Based on Artificial Intelligence Tools
- Chapter 11 Artificial Intelligence for Advancing Plant Genome Editing and Precision Breeding
- Chapter 12 Artificial Intelligence Approaches in Plant Digital Multiple Omics
- Chapter 13 Uncovering Complicated Plant Biological Networks through the Assistance of Artificial Intelligence Tools
- Chapter 14 Artificial Intelligence for the Management of Plant Factories
- Chapter 15 Simulation Intelligence Approaches in Plant Sciences
- Chapter 16 Artificial Intelligence Approaches for Uncovering Plant–Microbial Interactions
- Chapter 17 Organizing Smart Digital Agriculture Based on Artificial Intelligence
- Chapter 18 Plant Disease Diagnosis Based on Artificial Intelligence Technologies
- Chapter 19 AI-Enabled ChatGPT and Large Language Models in Plant Research
- Chapter 20 Machine Learning for Studying Plant Protein Function and Evolution
- Chapter 21 Artificial Intelligence in Omics-Assisted Crop Breeding and Genetic Enhancement
- Chapter 22 Low Carbon Transition in the Food System through Machine Learning-Enhanced Energy Efficiency
- Chapter 23 Deep Learning: Revolutionizing Data-Driven Science in Plant Research
- Chapter 24 Machine Learning in Plant Biology: Fundamentals and Applications
- Index
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Yes, you can access AI in Plant Science and Precision Agriculture by Jen-Tsung Chen in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Botany. We have over 1.5 million books available in our catalogue for you to explore.