56 citations · 56 across the 2 of their papers we have counts for
6 papers
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
Uddhav Bhattarai, Santosh Bhusal, Qin Zhang +1
One of the major challenges for the agricultural industry today is the uncertainty in manual labor availability and the associated cost. Automated flower and fruit density estimati…
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…
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…
Design, Modeling, and Control of a Low-Cost and Rapid Response Soft-Growing Manipulator for Orchard Operations
Ryan Dorosh, Justin Allen, Zixuan He +10
Tree fruit growers around the world are facing labor shortages for critical operations, including harvest and pruning. There is a great interest in developing robotic solutions for…
The Use of Agricultural Robots in Orchard Management
Qin Zhang, Manoj Karkee, Amy Tabb
Book chapter that summarizes recent research on agricultural robotics in orchard management, including Robotic pruning, Robotic thinning, Robotic spraying, Robotic harvesting, Robo…