Ms.Abigail Angela Gracias

Papers

Total Citations

H-Index

About

Ms. Abigail Angela Gracias is a researcher at the forefront of applying machine learning to agricultural sustainability. Her work centers on the intersection of artificial intelligence, soil science, and precision farming, with a primary focus on developing predictive models that enhance crop yield and resource management. Her most cited paper, "Soil Fertility Analysis and Crop Prediction using Machine Learning" (2020, 15 citations), is a foundational contribution that demonstrates how automated algorithms can analyze complex soil data to forecast optimal crop choices, reducing waste and improving food security. By leveraging robotics and machine learning as subsets of artificial intelligence, Gracias has helped bridge the gap between traditional agronomy and modern data-driven techniques. Her research is particularly notable for its practical impact, offering scalable solutions for smallholder farmers and large-scale agriculture alike. Beyond her citation record, she is recognized for her ability to translate complex computational methods into accessible tools for real-world application. Gracias continues to explore how automation can revolutionize environmental monitoring, positioning her as a rising voice in the field of AI for sustainable development.