Mamtimin Geni

Xinjiang University

Papers

2

Total Citations

15

H-Index

2

About

Dr. Mamtimin Geni is a pioneering researcher at the intersection of computer vision and agricultural automation, with a primary focus on developing intelligent detection systems for medicinal plant harvesting. His most significant contribution lies in the creation of a marigold corolla detection model based on an improved YOLOv7 lightweight architecture, which addresses the critical need for mechanized harvesting of marigold—a vital traditional Chinese medicine known for its heat-clearing, liver-protecting, and beautifying properties. This work, published in 2024 and already accumulating 13 citations, demonstrates his ability to balance detection accuracy with computational efficiency, making deep learning models deployable on resource-constrained agricultural equipment. Dr. Geni’s research directly tackles the growing demand for marigold by enabling automated, precise corolla identification, thereby reducing reliance on manual labor. His earlier 2023 version of the same model, with 2 citations, laid the groundwork for this advancement. By combining state-of-the-art object detection with practical agricultural engineering, Dr. Geni is helping to modernize traditional medicine supply chains, ensuring sustainable harvesting practices while meeting increasing market needs. His work exemplifies how AI can solve real-world agricultural challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A marigold corolla detection model based on the improved YOLOv7 lightweight
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Xinjiang University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago