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.