Jingbin Li
Papers
2
Total Citations
8
H-Index
2
About
Jingbin Li is a researcher working at the intersection of agricultural engineering and intelligent automation, with a focus on advancing mechanized and robotic solutions for modern farming challenges. His work spans two distinct but complementary domains: precision agricultural robotics and livestock feeding mechanization. In his most influential contribution, a 2025 review on crop row detection for agricultural robots, Li synthesizes cutting-edge methods, performance indicators, and scene adaptability frameworks that are shaping how autonomous machinery navigates and operates in field environments — a paper that has already garnered 6 citations shortly after publication, signaling strong early interest from the research community. His earlier work from 2007 examined the state of cow-feeding technology and equipment, critically evaluating traditional techniques alongside Total Mixed Ration (TMR) systems and robotic feeding solutions, helping lay groundwork for the mechanization of livestock management. Together, these contributions reflect Li's sustained commitment to solving practical agricultural problems through technology. His research serves as a valuable resource for engineers, agronomists, and robotics researchers seeking to modernize both crop production and animal husbandry operations through intelligent, efficient machinery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis of the Situation about Cow-feeding Technique and Equipment2 citations · 2007