56 citations · 103 across the 5 of their papers we have counts for
5 papers
3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
Ranjan Sapkota, Zhichao Meng, Martin Churuvija +3
In orchard automation, dense foliage during the canopy season severely occludes tree structures, minimizing visibility to various canopy parts such as trunks and branches, which li…
An Integrated Visual Servoing Framework for Precise Robotic Pruning Operations in Modern Commercial Orchard
Dawood Ahmed, Basit Muhammad Imran, Martin Churuvija +1
This study presents a vision-guided robotic control system for automated fruit tree pruning applications. Traditional pruning practices are labor-intensive and limit agricultural e…
Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments
Ranjan Sapkota, Zhichao Meng, Martin Churuvija +3
This study systematically conducted an extensive real-world evaluation of all configurations of You Only Look Once (YOLO)-based object detection algorithms, including YOLOv8, YOLOv…
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques
Ranjan Sapkota, Dawood Ahmed, Martin Churuvija +1
Detecting and estimating size of apples during the early stages of growth is crucial for predicting yield, pest management, and making informed decisions related to crop-load manag…
Machine Vision-Based Crop-Load Estimation Using YOLOv8
Dawood Ahmed, Ranjan Sapkota, Martin Churuvija +1
Labor shortages in fruit crop production have prompted the development of mechanized and automated machines as alternatives to labor-intensive orchard operations such as harvesting…