From Conventional to Artificial Intelligence-Based Agriculture

1. Scope of conventional knowledge and deep learning approaches for the identification of plant diseases<br>2. Plant disease diagnosis and forecasting in the era of artificial intelligence, machine learning, and deep learning<br>3. AI-powered precision horticulture: Integrating machine learning and unmanned vehicles for crop management<br>4. Exploring conventional methods and deep learning approaches for plant disease identification<br>5. Machine learning and artificial intelligence for germplasm phenotyping in plant breeding<br>6. Genome language models for plant genome mining in accelerating breeding strategies<br>7. Use of artificial intelligence in hydroponic vegetable production<br>8. Bibliometric analysis of artificial intelligence and machine learning: A technological revolution in agriculture<br>9. Soil health monitoring using artificial intelligence and the Internet of Things for sustainable agriculture<br>10. Generative AI and the potential of robotics in agriculture<br>11. Artificial intelligence in food science and nutrition<br>12. Artificial intelligence and machine learning in agriculture: Transforming economics and farm viability in the agricultural sector