11 citations · 26 across the 9 of their papers we have counts for
5 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…