274 citations · 974 across the 43 of their papers we have counts for
5 papers · 1 filter
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Ranjan Sapkota, Dawood Ahmed, Manoj Karkee
Instance segmentation is an important image processing operation for agricultural automation, providing precise delineation of individual objects within images and enabling tasks s…
Robotic Pollination of Apples in Commercial Orchards
Ranjan Sapkota, Dawood Ahmed, Salik Ram Khanal +4
This research presents a novel, robotic pollination system designed for targeted pollination of apple flowers in modern fruiting wall orchards. Developed in response to the challen…
Generative AI in Agriculture: Creating Image Datasets Using DALL.E's Advanced Large Language Model Capabilities
Ranjan Sapkota, Manoj Karkee
The field of agricultural communication is evolving rapidly with the advent of generative artificial intelligence (AI), particularly image generation technologies. As these tools b…
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…
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
Salik Ram Khanal, Ranjan Sapkota, Dawood Ahmed +2
Early-stage identification of fruit flowers that are in both opened and unopened condition in an orchard environment is significant information to perform crop load management oper…