11 citations · 32 across the 11 of their papers we have counts for
6 papers · 1 filter
Visual based Tomato Size Measurement System for an Indoor Farming Environment
Andy Kweon, Vishnu Hu, Jong Yoon Lim +7
As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry. Current existing vision systems for yield estimation face…
Look how they have grown: Non-destructive Leaf Detection and Size Estimation of Tomato Plants for 3D Growth Monitoring
Yuning Xing, Dexter Pham, Henry Williams +5
Smart farming is a growing field as technology advances. Plant characteristics are crucial indicators for monitoring plant growth. Research has been done to estimate characteristic…
deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques
Inkyu Sa, JongYoon Lim, Ho Seok Ahn +1
This paper presents datasets utilised for synthetic near-infrared (NIR) image generation and bounding-box level fruit detection systems. It is undeniable that high-calibre machine…
Kiwifruit detection in challenging conditions
Mahla Nejati, Nicky Penhall, Henry Williams +4
Accurate and reliable kiwifruit detection is one of the biggest challenges in developing a selective fruit harvesting robot. The vision system of an orchard robot faces difficultie…
Deep Neural Network Based Real-time Kiwi Fruit Flower Detection in an Orchard Environment
JongYoon Lim, Ho Seok Ahn, Mahla Nejati +3
In this paper, we present a novel approach to kiwi fruit flower detection using Deep Neural Networks (DNNs) to build an accurate, fast, and robust autonomous pollination robot syst…
An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest
Ho Seok Ahn, Feras Dayoub, Marija Popovic +3
Horticultural enterprises are becoming more sophisticated as the range of the crops they target expands. Requirements for enhanced efficiency and productivity have driven the deman…