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Full Description
From Conventional to Artificial Intelligence-Based Agriculture explores the evolving landscape of agriculture as it transitions from traditional practices to advanced, AI-driven solutions. With artificial intelligence (AI) and machine learning (ML) revolutionizing industries worldwide, their impact on agriculture is becoming increasingly significant. These technologies are not only aiding in climate modeling but also opening new possibilities for precision farming—enabling more accurate crop health diagnostics, efficient resource management, and timely intervention strategies.
By integrating conventional agricultural knowledge with cutting-edge AI tools, farmers and researchers can better assess soil conditions, predict optimal planting windows, monitor nutrient dynamics, and understand market trends with greater precision. This convergence of tradition and technology supports more resilient, productive, and sustainable agricultural systems, paving the way for a smarter and more food-secure future.
Contents
About the Author
Acknowledgements
Introduction
1. Scope of Conventional Knowledge and Deep Learning Approaches for the Identification of Plant Diseases
2. Plant disease diagnosis and forecasting in the era of Artificial Intelligence, Machine Learning and Deep Learning
3. AI-Powered Precision Horticulture: Integrating Machine Learning and Unmanned Vehicles for Crop Management
4. Exploring Conventional Methods and Deep Learning Approaches for Plant Disease Identification
5. Machine Learning and Artificial Intelligence in Plant Breeding for Phenotyping of Germplasm
6. Potential of Genome Language Model for Plant Genome Mining in Accelerating Breeding Strategies
7. Use of Artificial Intelligence in hydroponic vegetable production
8. Bibliometric Analysis of Artificial Intelligence and Machine Learning: A Technological Revolution in Agriculture
9. Soil Health Monitoring Using Artificial Intelligence and Internet of Things for Sustainable Agriculture
10. Generative AI and the potential of robotics in Agriculture
11. Artificial Intelligence in food science and nutrition
12. Artificial Intelligence and Machine Learning in Agriculture: Transforming Economics and Farm Viability in Agriculture Sector
