A. Malarvizhi

Papers

Total Citations

H-Index

About

A. Malarvizhi is a researcher at the forefront of applying artificial intelligence to agricultural systems, with a particular focus on leveraging machine learning for real-time, data-driven decision-making in farming. Her work addresses the critical challenge of transforming vast, daily streams of environmental and operational data—including temperature, soil conditions, water usage, and atmospheric phenomena—into actionable insights for growers. Her most cited paper, "Applications of Artificial Intelligence in Agriculture" (2020), which has garnered 4 citations, lays the groundwork for using computational models to optimize planting schedules and resource management. This contribution is especially significant in an era where precision agriculture is essential for sustainability and food security. By bridging the gap between raw sensor data and practical farm management, Malarvizhi’s research empowers farmers to make smarter, more efficient choices. Her work stands as a vital step toward a future where AI not only monitors but actively guides agricultural practices, reducing waste and improving yields. For students and researchers, her studies offer a compelling model of how computer science can directly address real-world environmental and economic challenges.