Agriculture is the backbone of any sustainable economy, providing the primary means of livelihood for around 58% of India’s population. The population of the world is predicted to increase quickly, reaching 9.7 billion people by 2050. Crop diseases vary greatly in their pattern of dissemination, prevalence, and severity, with the potential to trigger devastating epidemics that endanger the world’s food supply. Major crop losses are caused by airborne diseases such as stripe rust (Puccinia striiformis f. sp. tritici) (Pst) and fusarium head blight (Fusarium graminearum) (FHB) in wheat, and powdery mildew (Erysiphe necator) in grapes, to name a few. As a result, there is growing anticipation about how to meet the expanding need for food that ensures food security and sustainability. This has given rise to an entirely new field called artificial intelligence. AI’s adaptability, quick performance, precision, and economic viability are the cornerstones of agriculture. To develop and deploy AI systems in an ethical and sustainable way, there is a need to fill the skills gap and make sure there is an adequate talent pool. Agronomics can greatly benefit from artificial intelligence. The productivity of primary sectors should, therefore, be increased by future researchers organizing a proper data set that comprises every aspect of agriculture and enhancing the technology already in use.