Xin-Ni Huang

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Xin-Ni Huang is a pioneering researcher in precision agriculture and smart weed management, with a focus on developing automated, environmentally sustainable solutions for crop production. Her most-cited work, the "Smart laser weeding system" (2019), introduces an innovative approach to mechanical weeding in organic soybean cultivation, addressing the critical challenge of inconsistent weed growth. By integrating laser technology with intelligent detection, Huang’s system enables targeted, high-precision weed removal without chemical herbicides, significantly improving weeding efficiency in strip-planted organic fields. This contribution is vital for large-scale organic farming, where mechanical weeding remains the most effective method for seedling-stage weed control. Although her citation count is currently modest, her work represents a forward-looking application of automation and laser engineering to sustainable agriculture. Huang’s research bridges the gap between traditional mechanical weeding and modern smart farming technologies, offering a scalable, eco-friendly alternative for weed management. Her achievements highlight a commitment to reducing agricultural chemical inputs while maintaining crop yield, positioning her as an emerging innovator in the field of precision organic farming.