Yilong Sun
Papers
2
Total Citations
14
H-Index
2
About
Yilong Sun is a researcher focused on advancing agricultural technology through the integration of the Internet of Things (IoT) and robotics. Their key research areas include precision irrigation systems, intelligent path planning algorithms, and automated agricultural robots. Sun’s major contributions involve designing and implementing novel IoT-based irrigation systems that address critical shortcomings in traditional agriculture, such as poor adaptability to real-world environments, lack of feedback processing, and high costs. Notably, their 2021 paper on an IoT irrigation system with a precision robot has garnered 9 citations, while their 2020 work on an intelligent path planning algorithm for irrigation robots has received 5 citations. These works demonstrate Sun’s commitment to creating practical, mobile, and cost-effective solutions that enhance irrigation precision and efficiency. By developing robots capable of autonomous navigation and adaptive responses, Sun is helping to pave the way for smarter, more sustainable farming practices. Their research holds significant promise for improving agricultural productivity and resource management in the face of growing global food demands.
Research Focus
Key Achievements
Top Papers
- 1
- 2