Xinqing Xiao

China Agricultural University, Ministry of Agriculture and Rural Affairs

Papers

Total Citations

H-Index

About

Xinqing Xiao is a pioneering researcher at the intersection of smart agriculture and intelligent systems. His work focuses on leveraging advanced computational technologies—including neuromorphic computing, deep learning, and self-powered sensors—to revolutionize agricultural productivity and sustainability. Xiao’s major contributions include developing a CNN-MLP-based configurable robotic arm for smart agriculture (2024, 29 citations), which addresses the inefficiencies of traditional farming by enabling adaptive, large-scale automation. He also advanced neuromorphic computing for agriculture (2024, 26 citations), mimicking human brain-like processing to manage complex agricultural systems from planting to consumption. Additionally, Xiao created a self-powered triboelectric dual-mode sensor for tactile sensory applications (2024, 11 citations), enhancing precision in agricultural monitoring. With over 66 citations across his most-cited works, Xiao’s research demonstrates significant impact, offering scalable, energy-efficient solutions for global food security. His notable achievements include integrating AI and bio-inspired computing into practical agricultural tools, positioning him as a key innovator in sustainable agri-tech. Xiao’s work inspires students and researchers to explore how intelligent systems can transform traditional industries.