11 citations · 32 across the 11 of their papers we have counts for
11 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…
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…
Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
JongYoon Lim, Inkyu Sa, Ho Seok Ahn +3
Sentiment prediction remains a challenging and unresolved task in various research fields, including psychology, neuroscience, and computer science. This stems from its high degree…