Papers
2
Total Citations
30
H-Index
2
About
Achyut Paudel is a leading researcher in agricultural robotics and precision agriculture, with a focus on developing autonomous systems for orchard and crop management. His work bridges computer vision, deep learning, and robotic manipulation to address critical challenges in modern farming. Paudel’s most impactful contribution is his 2024 paper on tree detection and in-row localization for autonomous precision orchard management, which has garnered 22 citations. This framework enables ground robots to navigate fruit tree orchards with high accuracy, facilitating individualized plant care—a shift from traditional block-level management that fails to account for variations in soil, pests, and irrigation needs. Additionally, his 2024 study on efficient detection of potato tuber eyes using deep learning (8 citations) introduces a machine vision technique for robotic high-throughput sampling, reducing labor-intensive pathogen detection processes. Paudel’s work is notable for its practical applications in enhancing farm productivity and sustainability, earning recognition for its potential to revolutionize precision agriculture. His research empowers students and researchers to explore the intersection of robotics, AI, and agronomy, offering scalable solutions for autonomous farming systems.
Research Focus
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Top Papers
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