A Review on Advancing Agricultural Efficiency through Geographic Information Systems, Remote Sensing, and Automated Systems

The use of all-terrain vehicles, automation, remote sensing, and geographic information systems (GIS) signifies a notable progression in modern agriculture, with the potential to revolutionize precision farming. However, the challenge lies in effectively integrating these technologies due to issues such as incompatible data formats, limited interoperability (affecting 30% of cases), and regulatory complexities. This study employs a systematic methodology, combining a comprehensive literature review, case studies, and data-driven analysis to evaluate the collaborative potential of GIS and remote sensing. The findings demonstrate that GIS enhances decision-making by handling geographical data with an accuracy rate of 85%, while remote sensing achieves a 92% detection rate for crop and environmental conditions. Additionally, automation improves operational efficiency, leading to a 40% reduction in workforce expenses. To address integration challenges, this study explores strategies for overcoming data standardization issues, regulatory barriers, and technological limitations. Achieving a fully integrated, technology-driven agricultural system requires a structured approach emphasizing collaboration, sustainability, and adaptability, ensuring enhanced productivity and long-term agricultural resilience.