Ranjan Sapkota

According to our database, Ranjan Sapkota authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey.

Ranjan Sapkota, Shaina Raza, Maged Shoman, Paudel Achyut, Manoj Karkee

CoRR, January, 2025

A pose-versatile imaging system for comprehensive 3D modeling of planar-canopy fruit trees for automated orchard operations.

Martin Churuvija, Ranjan Sapkota, Dawood Ahmed, Manoj Karkee

Comput. Electron. Agric., 2025

Estimating optimal crop-load for individual branches in apple tree canopies using YOLOv8.

Dawood Ahmed, Ranjan Sapkota, Martin Churuvija, Manoj Karkee

Comput. Electron. Agric., 2025

2024

Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards.

Ranjan Sapkota, Manoj Karkee

CoRR, 2024

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development.

Ranjan Sapkota, Paudel Achyut, Manoj Karkee

CoRR, 2024

Comparing YOLO11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment.

Ranjan Sapkota, Manoj Karkee

CoRR, 2024

YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning.

Ranjan Sapkota, Manoj Karkee

CoRR, 2024

A Robotic System for Precision Pollination in Apples: Design, Development and Field Evaluation.

Uddhav Bhattarai, Ranjan Sapkota, Safal Kshetri, Changki Mo, Matthew D. Whiting, Qin Zhang, Manoj Karkee

CoRR, 2024

Comprehensive Performance Evaluation of YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments.

Ranjan Sapkota, Zhichao Meng, Dawood Ahmed, Martin Churuvija, Xiaoqiang Du, Zenghong Ma, Manoj Karkee

CoRR, 2024

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series.

Ranjan Sapkota, Rizwan Qureshi, Marco Flores Calero, Chetan Badjugar, Upesh Nepal, Alwin Poulose, Peter Zeno, Uday Bhanu Prakash Vaddevolu, Hong Yan, Manoj Karkee

CoRR, 2024

Immature Green Apple Detection and Sizing in Commercial Orchards Using YOLOv8 and Shape Fitting Techniques.

Ranjan Sapkota, Dawood Ahmed, Martin Churuvija, Manoj Karkee

IEEE Access, 2024

2023

Semiautonomous Precision Pruning of Upright Fruiting Offshoot Orchard Systems: An Integrated Approach.

Alexander You, Nidhi Parayil, Josyula Gopala Krishna, Uddhav Bhattarai, Ranjan Sapkota, Dawood Ahmed, Matthew D. Whiting, Manoj Karkee, Cindy M. Grimm, Joseph R. Davidson

IEEE Robotics Autom. Mag., December, 2023

Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments.

Ranjan Sapkota, Dawood Ahmed, Manoj Karkee

CoRR, 2023

Robotic Pollination of Apples in Commercial Orchards.

Ranjan Sapkota, Dawood Ahmed, Salik Ram Khanal, Uddhav Bhattarai, Changki Mo, Matthew D. Whiting, Manoj Karkee

CoRR, 2023

Harnessing the Power of AI based Image Generation Model DALLE 2 in Agricultural Settings.

Ranjan Sapkota

CoRR, 2023

Machine Vision-Based Crop-Load Estimation Using YOLOv8.

Dawood Ahmed, Ranjan Sapkota, Martin Churuvija, Manoj Karkee

CoRR, 2023

Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination.

Salik Ram Khanal, Ranjan Sapkota, Dawood Ahmed, Uddhav Bhattarai, Manoj Karkee

CoRR, 2023

Site-specific weed management in corn using UAS imagery analysis and computer vision techniques.

Ranjan Sapkota, John Stenger, Michael Ostlie, Paulo Flores

CoRR, 2023

2022

An autonomous robot for pruning modern, planar fruit trees.

Alexander You, Nidhi Parayil, Josyula Gopala Krishna, Uddhav Bhattarai, Ranjan Sapkota, Dawood Ahmed, Matthew D. Whiting, Manoj Karkee, Cindy M. Grimm, Joseph R. Davidson

CoRR, 2022

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn.

Ranjan Sapkota, Paulo Flores

CoRR, 2022