Nisha Ahuja

Papers

Total Citations

H-Index

About

Nisha Ahuja is a researcher focused on the intersection of artificial intelligence and agricultural technology, with a particular emphasis on deep learning applications for precision farming. Her most-cited work, "Improving Weed Detection Using Deep Learning Techniques" (2021), demonstrates her commitment to addressing real-world challenges in sustainable agriculture. In this study, Ahuja explores advanced neural network architectures to enhance the accuracy and efficiency of weed identification in crop fields, a critical step toward reducing herbicide use and promoting environmentally friendly farming practices. While her citation count is currently modest, her contributions are gaining traction among researchers interested in computer vision and agri-tech. Ahuja’s work stands out for its practical implications, offering scalable solutions that could empower farmers with data-driven tools for crop management. As the field of smart agriculture continues to expand, her research lays a foundational framework for integrating AI into everyday farming operations. With a clear focus on bridging technology and sustainability, Nisha Ahuja is an emerging voice in the growing dialogue around AI-driven environmental stewardship.