6 citations · 19 across the 12 of their papers we have counts for
7 papers · 1 filter
Pallet Detection And Localisation From Synthetic Data
Henri Mueller, Yechan Kim, Trevor Gee +1
The global warehousing industry is experiencing rapid growth, with the market size projected to grow at an annual rate of 8.1% from 2024 to 2030 [Grand View Research, 2021]. This e…
Detection of Spider Mites on Labrador Beans through Machine Learning Approaches Using Custom Datasets
Violet Liu, Jason Chen, Ans Qureshi +1
Amidst growing food production demands, early plant disease detection is essential to safeguard crops; this study proposes a visual machine learning approach for plant disease dete…
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…
Pallet Detection from Synthetic Data Using Game Engines
Jouveer Naidoo, Nicholas Bates, Trevor Gee +1
This research sets out to assess the viability of using game engines to generate synthetic training data for machine learning in the context of pallet segmentation. Using synthetic…
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…