Harnessing Artificial Intelligence for Climate Resilience in American Agriculture

Scientific Study from the year 2024 in the subject Environmental Sciences - Sustainability, grade: A, , language: English, abstract: This study explores the integration of artificial intelligence (AI) in American agriculture to enhance climate resilience, focusing on three critical areas: Precision farming, crop yield prediction, resource optimization and control of pests. The study adopts machine learning techniques, IoT real-time monitoring, and satellite data to compare the performance of AI interventions in addressing climate change risks. This paper establishes that AI leads to an increase in crop yields by 28.6%, a decrease in water use by 40% and a decrease in pesticide use by 30%, proving the capacity of AI in productivity and sustainability. These findings are statistically significant, as revealed by correlational coefficients showing the extent of associations between AI applications and agriculture. This study’s contributions to knowledge and practice for policymakers, agribusinesses, and researchers are valuable despite the barriers, including high implementation costs and poor rural infrastructure. If these barriers are well addressed, then AI offers a perfect solution to developing a robust agriculture sector that can cope with climate volatility.