Abstract

In decades, technological innovation has profoundly reshaped industries across the globe, and agriculture—long rooted in traditional methods—is no exception. transformative powerful catalyst for change, driving a new era in food production that emphasizes efficiency, sustainability, and precision. As the global population steadily climbs toward by over 50%, (FAO). Meeting this demand in a context of finite arable land, climate volatility, labor shortages, and growing environmental concerns requires a rethinking of conventional agricultural practices. AI with learn from patterns, and make informed decisions, agricultural role in food production spans a wide spectrum—from crop selection and planting to harvesting, packaging, and distribution. This approach leverages tools like machine learning, optimize resource use, reduce waste, and determine, predict crop diseases, monitor weather conditions in real time.