El Ni?o is a naturally occurring climate phenomenon associated with the warm phase of the El Ni?o?Southern Oscillation (ENSO), characterized by abnormal warming of sea surface temperatures in the central and eastern Pacific Ocean. Although it originates far from India, El Ni?o significantly influences the southwest monsoon, often resulting in below-normal rainfall, higher temperatures, prolonged dry spells, and increased frequency of droughts. These climatic anomalies adversely affect agricultural productivity by delaying sowing, reducing crop yields, increasing irrigation demand, intensifying pest and disease incidence, and threatening water resources and food security. The severity of its impacts varies depending on interactions with other climatic systems such as the Indian Ocean Dipole (IOD) and Madden-Julian Oscillation (MJO). The article highlights climate-smart adaptation strategies, including crop diversification, adoption of drought-tolerant varieties, efficient water management, conservation agriculture, and integrated farming systems to enhance resilience against climate variability. It also emphasizes the growing role of artificial intelligence (AI), remote sensing, satellite observations, and digital advisory platforms in improving seasonal weather forecasting, early warning systems, and location-specific agro-advisories for farmers. Strengthening institutional support through agencies such as IMD, ICAR, and State Agricultural Universities, along with enhancing farmer awareness and access to climate information, is essential for building sustainable, climate-resilient, and productive agricultural systems in India.