Shridhar T. Doddamani

Papers

Total Citations

H-Index

About

Shridhar T. Doddamani is a researcher focused on the intersection of agricultural robotics, machine learning, and innovative engineering education. His work centers on developing practical, technology-driven solutions for agriculture, particularly through the application of multi-label classification techniques. His most cited paper, "Multi-Label Classification of Cotton Plant with Agriculture Mobile Robot" (2022, 4 citations), demonstrates his contribution to precision agriculture by enabling mobile robots to identify multiple plant conditions simultaneously, a step toward more autonomous and efficient crop monitoring. Beyond agricultural tech, Doddamani has explored frugal approaches to engineering pedagogy, as seen in his paper "Project Based Learning in Laboratories Using Open Source Technologies: Case Study of a Frugal Approach" (2014, 2 citations), which advocates for accessible, low-cost educational tools. This dual focus on applied robotics and cost-effective teaching methods highlights his commitment to bridging high-tech solutions with real-world constraints. His work offers valuable insights for students and researchers interested in agricultural automation, embedded systems, and scalable educational innovations.