Ranjan Sapkota

Washington State University, Cornell University, Automated Precision (United States)

Papers

25

Total Citations

725

H-Index

13

About

No biography available yet.

Research Focus

Computer science22 · 700 citations
Artificial intelligence19 · 531 citations
Biology17 · 487 citations
Orchard13 · 348 citations
Horticulture14 · 343 citations
Computer vision11 · 339 citations
Ecology4 · 248 citations
Psychology3 · 224 citations
Cognitive science2 · 219 citations
Data science2 · 219 citations
Taxonomy (biology)2 · 219 citations
Segmentation4 · 209 citations

Key Achievements

13
H-Index
25
Papers
725
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
172 citations · 2024
📈 Most Prolific Year: 2024 (10 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Washington State University, Cornell University, Automated Precision (United States)

Top Papers

  1. 1
    Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
    172 citations · 2024
  2. 2
    AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
    120 citations · 2025
  3. 3
    AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges
    99 citations · 2025
  4. 4
    Synthetic meets authentic: Leveraging LLM generated datasets for YOLO11 and YOLOv10-based apple detection through machine vision sensors
    48 citations · 2024
  5. 5
    YOLOv10-pose and YOLOv9-pose: Real-time strawberry stalk pose detection models
    43 citations · 2024
  6. 6
    Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments
    37 citations · 2024
  7. 7
    Semiautonomous Precision Pruning of Upright Fruiting Offshoot Orchard Systems: An Integrated Approach
    26 citations · 2023
  8. 8
    Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments
    24 citations · 2023
  9. 9
    Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
    17 citations · 2023
  10. 10
    Machine Vision-Based Crop-Load Estimation Using YOLOv8
    17 citations · 2023

Key Collaborators

MKManoj Karkee24 shared papersDADawood Ahmed12 shared papersUBUddhav Bhattarai6 shared papersMCMartin Churuvija5 shared papersMDMatthew D. Whiting5 shared papersZMZhichao Meng4 shared papersKIKonstantinos I. Roumeliotis3 shared papersZMZenghong Ma3 shared papersXDXiaoqiang Du3 shared papersNPNidhi Parayil2 shared papersSRSalik Ram Khanal2 shared papersJRJoseph R. Davidson2 shared papersCMChangki Mo2 shared papersJGJosyula Gopala Krishna2 shared papersAYAlexander You2 shared papersCGCindy Grimm2 shared papersDADawood Ahmed2 shared papersSKSafal Kshetri1 shared papersQZQin Zhang1 shared papersYCYang Cao1 shared papers
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