Reducing Environmental Impact through AI-Optimized Resource Management in Agriculture

https://doi.org/10.5281/zenodo.17470553

Abstract

This paper discusses the diverse applications of modern digital technologies in precision farming, emphasizing their ability to boost crop productivity while ensuring efficient use of natural resources. It explores five main areas where technological innovations have made notable contributions: predictive systems for crop management, smart irrigation solutions, automated detection of pests and diseases, targeted fertilizer application, and robotic harvesting. By combining information from multiple sources and applying advanced data-processing techniques, these systems have shown exceptional improvements in accuracy, efficiency, and sustainability. Reported advancements include a 15% increase in yield prediction reliability, up to 30% savings in water use, and a 20% reduction in fertilizer consumption without lowering crop output. Although there are challenges such as data protection issues and the high cost of implementation, the long-term benefits include higher profitability, environmental conservation, and stronger global food security. Overall, this study highlights how technology-based precision agriculture is transforming modern farming and helping to address worldwide food production challenges while reducing environmental impact.

Keywords: : Environmental Impact, Artificial Intelligence, Crop Yield Optimization, Resource management ,Sustainable Farming