T. Sheela

Papers

Total Citations

H-Index

About

T. Sheela’s research lies at the intersection of artificial intelligence and sustainable agriculture, where she harnesses machine learning to transform raw environmental data into actionable farming insights. Her most-cited work, “Applications of Artificial Intelligence in Agriculture” (2020), with 4 citations, demonstrates how real-time analysis of temperature, soil moisture, water usage, and atmospheric conditions can guide critical decisions such as optimal planting times. By developing models that process thousands of daily data points from farms, Sheela enables precision agriculture that reduces resource waste and boosts crop yields. Her contributions are particularly valuable in an era of climate uncertainty, offering farmers a data-driven pathway to resilience. While her citation count is modest, the practical relevance of her work signals growing recognition in the agri-tech community. Sheela’s research exemplifies how AI can democratize access to sophisticated analytics, empowering smallholders and large-scale operations alike to make smarter, more sustainable choices. Her ongoing efforts continue to bridge computer science and agronomy, promising a future where every seed is planted with the wisdom of data.