Shivam Thakur

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Shivam Thakur is a researcher at the forefront of precision agriculture, specializing in the integration of computer vision and image processing to revolutionize autonomous farming systems. His work focuses on developing intelligent visual algorithms that enable agricultural machinery to detect crop health, identify weeds, and optimize resource allocation in real time. Thakur’s most-cited paper, “Autonomous Farming—Visualization of Image Processing in Agriculture” (2020), has garnered 5 citations and serves as a foundational reference for applying deep learning to field-based automation. This contribution highlights his ability to translate complex image data into actionable insights for sustainable farming, reducing human intervention while increasing yield efficiency. Though early in his career, Thakur’s research bridges the gap between theoretical computer vision and practical agritech solutions, earning recognition for its clarity and applicability. His work is particularly valuable for students and engineers exploring how AI-driven visual systems can address global food security challenges. With a growing citation footprint, Thakur continues to advance the dialogue on smart agriculture, positioning himself as a promising voice in the intersection of technology and environmental stewardship.