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Ranjan Sapkota
Ranjan Sapkota
PhD Student
Подтвержден адрес электронной почты в домене cornell.edu - Главная страница
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Процитировано
Процитировано
Год
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
R Sapkota, D Ahmed, M Karkee
Artificial Intelligence in Agriculture 13, 84-99, 2024
602024
Semiautonomous precision pruning of upright fruiting offshoot orchard systems: An integrated approach
A You, N Parayil, JG Krishna, U Bhattarai, R Sapkota, D Ahmed, ...
IEEE Robotics & Automation Magazine, 2023
38*2023
Towards reducing chemical usage for weed control in agriculture using UAS imagery analysis and computer vision techniques
R Sapkota, J Stenger, M Ostlie, P Flores
Scientific Reports 13 (1), 6548, 2023
372023
Comprehensive performance evaluation of yolo11, yolov10, yolov9 and yolov8 on detecting and counting fruitlet in complex orchard environments
R Sapkota, Z Meng, M Churuvija, X Du, Z Ma, M Karkee
Authorea Preprints, 2024
282024
YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series
R Sapkota, R Qureshi, MF Calero, C Badjugar, U Nepal, A Poulose, ...
arXiv preprint arXiv:2406.19407, 2024
232024
Machine Vision-Based Crop-Load Estimation Using YOLOv8
D Ahmed, R Sapkota, M Churuvija, M Karkee
arXiv preprint arXiv:2304.13282, 2023
232023
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques
R Sapkota, D Ahmed, M Churuvija, M Karkee
IEEE Access 12, 43436-43452, 2024
222024
Exploring Multi-Modal Large Language Model for Creating Synthetic Image Datasets in Agriculture: An Experimental Analysis
R Sapkota, M Karkee
E: Generative AI-Powered Large Language Model (March 24, 2024), 2024
14*2024
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
SR Khanal, R Sapkota, D Ahmed, U Bhattarai, M Karkee
IFAC-PapersOnLine 56 (2), 8914-8919, 2023
122023
Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn
R Sapkota
North Dakota State University, 2022
11*2022
Robotic Pollination of Apples in Commercial Orchards
R Sapkota, D Ahmed, S Khanal, U Bhattarai, C Mo, MD Whiting, M Karkee
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
92023
Synthetic meets authentic: Leveraging llm generated datasets for yolo11 and yolov10-based apple detection through machine vision sensors
R Sapkota, Z Meng, M Karkee
Smart Agricultural Technology 9, 100614, 2024
72024
Multi-Modal LLMs in Agriculture: A Comprehensive Review
R Sapkota, R Qureshi, SZ Hassan, J Shutske, M Shoman, M Sajjad, ...
Authorea Preprints, 2024
62024
Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment
R Sapkota, M Karkee
arXiv preprint arXiv:2410.19869, 2024
52024
An autonomous robot for pruning modern, planar fruit trees. arXiv 2022
A You, N Parayil, JG Krishna, U Bhattarai, R Sapkota, D Ahmed, ...
arXiv preprint arXiv:2206.07201, 0
5
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
R Sapkota, A Paudel, M Karkee
arXiv preprint arXiv:2411.11285, 2024
42024
YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning
R Sapkota, M Karkee
arXiv preprint arXiv:2410.19846, 2024
32024
Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards
R Sapkota, M Karkee
arXiv preprint arXiv:2412.05728, 2024
22024
Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard Environments
R Sapkota, D Ahmed, M Karkee
Available at SSRN 4770722, 2024
22024
A pose-versatile imaging system for comprehensive 3D modeling of planar-canopy fruit trees for automated orchard operations
M Churuvija, R Sapkota, D Ahmed, M Karkee
Computers and Electronics in Agriculture 230, 109899, 2025
12025
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