6 citations · 10 across the 6 of their papers we have counts for
6 papers
Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard
Ans Qureshi, David Smith, Trevor Gee +12
Aotearoa New Zealand has a strong and growing apple industry but struggles to access workers to complete skilled, seasonal tasks such as thinning. To ensure effective thinning and…
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…
Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning
Ans Qureshi, Neville Loh, Young Min Kwon +10
Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards. One of the primary challenges is…
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…