Artificial Intelligence's Revolutionary Potential in 2047: Its Effect on Precision Farming

Food production would need to expand by about 70% over early 21st-century levels in order to feed the world's estimated 9.1 billion people by 2050. A crucial tactic to address this issue in a sustainable manner is precision agriculture, which is the fine-scale manipulation of crops and resources. Precision farming has been made possible in large part by artificial intelligence (AI), which optimizes irrigation, fertilization, pest management, and harvest timing using data from IoT sensors, drones, and satellite imaging. This study examines recent developments in AI-driven agriculture and forecasts their effects through 2047. We highlight field results that demonstrate how AI-guided systems can significantly increase productivity. For instance, in pilot trials, machine-learning decision support has produced yield gains of about 10–15%, and smart irrigation systems have saved up to 50% of water without lowering output. By 2047, global staple crop yields might be about 20–30% higher than current levels, while irrigation water consumption could decrease by about 30–40% and fertilizer inputs by 20–40%, according to our research, which extrapolates these trends under plausible adoption scenarios. The approximately 70% production gap required by the middle of the century would be significantly reduced by these advancements. We go over the enabling technologies (sensors, robotics, big data, AI analytics), the gaps in current usage, and the obstacles that still need to be addressed (data access, infrastructure, and regulation). This thorough analysis demonstrates that, by 2047, AI-driven precision agriculture will significantly contribute to sustainable agricultural intensification; but, to fully achieve its potential, careful coordination of technology, education, and policy will be necessary.