Shahana Bano

Papers

Total Citations

H-Index

About

Shahana Bano is an emerging researcher in the fields of artificial intelligence, robotics, and sustainable engineering, with a focus on real-world applications of computer vision and automation. Her most cited work, "Detection of Tomatoes Using Artificial Intelligence Implementing Haar Cascade Technique" (2020), demonstrates her expertise in applying machine learning to agricultural robotics, achieving 4 citations for its practical approach to crop detection. In parallel, her paper "Arduino-Based Plastic Identification and Picking Robot" (2020) showcases her commitment to environmental sustainability, developing low-cost, accessible robotic solutions for plastic waste management. These contributions highlight Bano’s ability to bridge AI and hardware, creating systems that address pressing challenges in food production and pollution. While her citation counts are modest, her work reflects a strong foundation in embedded systems and intelligent automation, positioning her as a promising voice in the integration of AI with tangible, socially relevant technologies. Her research is particularly valuable for students and practitioners interested in affordable, scalable solutions for agriculture and environmental cleanup.