Papers

3

Total Citations

15

H-Index

3

About

Kang Niu is a researcher at the forefront of agricultural automation and precision farming, with a focus on intelligent machinery and digital monitoring systems. His work centers on the integration of Digital Twin (DT) technology and data-driven methods to enhance the performance and reliability of plant factory transplanters and wheat seeders. Niu’s major contributions include developing an online monitoring method for vibration evaluation and transplanting quality analysis, which directly addresses the critical issue of bowl seedling detachment caused by machine shaking—a problem that impacts seedling survival rates and overall crop yield. His research has garnered attention, with his most-cited papers accumulating over 15 citations, reflecting the growing interest in smart agriculture solutions. Notably, Niu has also designed a seed–fertilizer replenishment device for wheat seeders, utilizing a three-degree-of-freedom mechanical arm and screw conveying principles to automate a traditionally manual process. By combining real-time vibration monitoring with digital twin frameworks, Niu is paving the way for more efficient, data-informed agricultural systems, making his work highly relevant for researchers and engineers aiming to modernize plant production and field operations.

Research Focus

Key Achievements

3
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Digital Twins and Data-Driven in Plant Factory: An Online Monitoring Method for Vibration Evaluation and Transplanting Quality Analysis
6 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Chinese Academy of Agricultural Mechanization Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago